pulse ($PBT)
Recent developments:
85% of the initial token allocation is held by the creator.
Creator token stats last updated: Sep 6, 2025 10:18
The following is generated by an LLM:
Summary
high-risk AI shopping token with extreme creator concentration
Analysis
The project presents significant risks and issues that severely undermine its investment viability. The creator holds 85% of the total token supply (850M PBT), creating extreme centralization and a high risk of a rug pull. While the AI shopping assistant concept has merit, the tokenomics are flawed: the $PBT token's utility (discounts, staking, feature access) appears redundant given that stablecoins or native chain tokens could fulfill payment roles without adding friction. No verifiable product demo or user metrics are provided, and the research paper focuses more on theoretical AI/blockchain synergies than concrete technical implementation. The team's anonymity (wallet address only) and lack of legal entity disclosure further erode trust. Token distribution is critically centralized, with no vesting schedule mentioned for the creator's 85% allocation. Partnerships are vague (e.g., 'Coinbase Commerce Coming Soon'), and community channels appear inactive or unverifiable.
Rating: 1
Generated with LLM: deepseek/deepseek-r1
LLM responses last updated: Sep 6, 2025 10:18
Original investment data:
# pulse ($PBT)
URL on launchpad: https://app.virtuals.io/geneses/8371
Launched at: Sat, 06 Sep 2025 09:25:49 GMT
Launched through the launchpad: Virtuals Protocol
Launch status: GENESIS
## Token details and tokenomics
Token symbol: $PBT
Token supply: 1 billion
Creator initial number of tokens: Creator initial number of tokens: 850,000,000 (85% of token supply)
## Creator info
Creator address: 0xD00bb3ff38C41e6262D4C1aDFd15A207438b98ab
Creator on basescan.org: https://basescan.org/address/0xD00bb3ff38C41e6262D4C1aDFd15A207438b98ab#asset-tokens
Creator on virtuals.io: https://app.virtuals.io/profile/0xD00bb3ff38C41e6262D4C1aDFd15A207438b98ab
Creator on zerion.io: https://app.zerion.io/0xD00bb3ff38C41e6262D4C1aDFd15A207438b98ab/overview
Creator on debank.com: https://debank.com/profile/0xD00bb3ff38C41e6262D4C1aDFd15A207438b98ab
## Description at launch
Pulsebot AI is your crypto-native shopping assistant — powered by AI and ACP, built on Base, and designed to make spending tokens as easy as sending a message.
Just tell it what you’re looking for. It finds the product, compares prices across platforms and voila.
## Overview
Project Details
An overview of the AI agent's purpose, functionality, and key components—highlighting what it does, how it works, and why it was built.
Introduction
Pulsebot AI is your crypto-native shopping assistant — powered by AI, built on Base, and designed to make spending tokens as easy as sending a message. Just tell it what you’re looking for. It finds the product, compares prices across platforms, and lets you buy it instantly with crypto. No tabs. No checkout forms. No fiat friction. It’s not just a tool — it’s a new interface for ecommerce, where intent meets intelligence, and AI meets DeFi. Welcome to the internet’s native checkout.
How It Works
## 🧠 **Agent Overview – Pulsebot AI**
**Pulsebot AI** is a crypto-native, AI-powered shopping agent built to simplify product discovery and enable seamless crypto payments across global ecommerce platforms. Designed for both crypto holders and everyday consumers, Pulsebot functions as a conversational agent that allows users to search for, compare, and purchase products using natural language — all while paying with cryptocurrency through our parnter upay.
**ACP Pulse**
Pulsebot AI serves as a **provider agent** in the Agent Commerce Protocol (ACP) by exposing its product discovery and pricing intelligence as standardized jobs. Through ACP’s Request → Negotiation → Transaction → Evaluation lifecycle, other agents or Butler agents can call on Pulse to handle the heavy lifting of ecommerce data retrieval. For example, a user might issue an intent such as *“Find the best price for a Ledger Nano X”* or another agent could request *“Compare top three prices for noise-cancelling headphones.”* Pulsebot responds by aggregating listings across online marketplaces, analyzing seller ratings, filtering by constraints (budget, availability, brand), and returning a curated set of results. Instead of executing payments, Pulse completes its provider role by delivering structured, verifiable pricing data that gets logged as a deliverable in ACP’s job contract. This allows other agents to plug Pulse into their workflows as a trusted source of shopping intelligence, while the on-chain Proof of Agreement ensures that buyers know exactly what Pulse promises to deliver before the task begins.
**Capabilities**
1. **Natural Language Product Search**
Users interact with Pulsebot via simple, everyday questions like “Find me a Ledger wallet under $100” or “Show me Bitcoin merch.” The AI interprets intent and returns personalized, curated results.
2. **Cross-Platform Product Aggregation**
Pulsebot aggregates listings from multiple online retailers (e.g., Amazon, Best Buy, Redbubble), giving users a unified shopping experience without switching tabs or platforms.
3. **Real-Time Pricing and Filtering**
The agent sorts options by relevance, price, seller rating, and availability, reducing the decision-making burden and streamlining the checkout journey.
4. **On-Chain Checkout (Crypto Payments)**
Users can pay for items using crypto through our partners Upay or helio, fully on Base chain for speed and low fees.
5. **Utility Layer for the $PBT Token**
$PBT is used for discounts, staking, and exclusive feature access. The token underpins user incentives, merchant interactions, and agent expansion.
## **Key Partnerships, Powered by & Integrations**
Pulsebot AI is backed and supported by a diverse set of Web3 infrastructure partners, including:
* **Upay card integration & rewards**
* **Helio checkout integration**
* **G.A.M.E SDK**
* **Coinbase Commerce (Coming soon)**
These partnerships play a role in distribution, launch, product support, and user acquisition.
## 🔗 Important Links
Website: [https://pulsebot.cc/](https://pulsebot.cc/) Pulse Blog: [https://pulsebot.cc/blog/](https://pulsebot.cc/blog/) X: [https://x.com/PulsebotAI](https://x.com/PulsebotAI) X agent: [https://x.com/therealPulsebot](https://x.com/therealPulsebot) Telegram: [https://t.me/+qSZQ-k3ijEA2OTc0](https://t.me/+qSZQ-k3ijEA2OTc0) Whitepaper: [https://whitepaper.pulsebot.cc/](https://whitepaper.pulsebot.cc/) Research Paper: [https://www.scribd.com/document/808547454/Pulsebot-AI-Research-Paper-Dec-24](https://www.scribd.com/document/808547454/Pulsebot-AI-Research-Paper-Dec-24) Linktree: [https://linktr.ee/pulsebot.cc](https://linktr.ee/pulsebot.cc)
## Additional information extracted from relevant pages
<fetched_info>
""" https://s3.ap-southeast-1.amazonaws.com/virtualprotocolcdn/8e246bfc_08bb_44f1_9811_7a779ae5de46_a338b0f736.jpg
Skipped image/binary URL (https://s3.ap-southeast-1.amazonaws.com/virtualprotocolcdn/8e246bfc_08bb_44f1_9811_7a779ae5de46_a338b0f736.jpg) - likely not text content
"""
""" https://s3.ap-southeast-1.amazonaws.com/virtualprotocolcdn/c1515266_fd06_4e0b_b17d_8db183643f1f_66bb1e2a91.jpg
Skipped image/binary URL (https://s3.ap-southeast-1.amazonaws.com/virtualprotocolcdn/c1515266_fd06_4e0b_b17d_8db183643f1f_66bb1e2a91.jpg) - likely not text content
"""
""" https://x.com/PulsebotAI
Skipped social media URL (https://x.com/PulsebotAI) - requires authentication
"""
""" https://x.com/therealPulsebot
Skipped social media URL (https://x.com/therealPulsebot) - requires authentication
"""
""" https://s3.ap-southeast-1.amazonaws.com/virtualprotocolcdn/6186ba9c_e65b_480b_959f_beba9de8694b_940190f630.jpg
Skipped image/binary URL (https://s3.ap-southeast-1.amazonaws.com/virtualprotocolcdn/6186ba9c_e65b_480b_959f_beba9de8694b_940190f630.jpg) - likely not text content
"""
""" [Creator profile on Virtuals Protocol](https://api.virtuals.io/api/profile/0xD00bb3ff38C41e6262D4C1aDFd15A207438b98ab)
{
"data": {
"id": 502743,
"displayName": null,
"bio": null,
"avatar": null,
"userSocials": [
{
"id": 568033,
"provider": "metamask",
"walletAddress": "0xD00bb3ff38C41e6262D4C1aDFd15A207438b98ab",
"metadata": null
}
],
"socials": null
}
}
"""
""" https://linktr.ee/pulsebot.cc
# Official Pulsebot AI
## 🌟 AI-powered ecom aggregator on Solana blockchain! ✨ Email for partnerships
[XX](https://x.com/PulsebotAI "X") [EmailEmail](mailto:hello@pulsebot.cc "Email")
[\\
\\
Join weekly giveaway party! Pulsebot x UPay](https://upay.best/broker/register/Pulsebot_ESXZKG6A)
[\\
\\
Pulsebot Website](http://pulsebot.cc/)
[\\
\\
Pulsebot Community - Telegram](https://t.me/+qSZQ-k3ijEA2OTc0)
[\\
\\
Pulsebot on X](https://x.com/PulsebotAI)
[\\
\\
Pulsebot Community - Discord](https://discord.gg/mKQaMXYgCj)
[Pulsebot AI Documentation](https://whitepaper.pulsebot.cc/)
[\\
\\
Pulsebot AI - Research Paper, Dec 24' \| PDF \| Artificial Intelligence \| Intelligence (AI) & Semantics](https://www.scribd.com/document/808547454/Pulsebot-AI-Research-Paper-Dec-24)
[Join pulsebot.cc on Linktree](https://linktr.ee/?utm_source=linktree&utm_medium=profile&utm_campaign=footer_logo_cta&utm_content=pulsebot.cc)
Cookie Preferences· [Report](https://linktr.ee/s/about/trust-center/report/?field86145911=https%3A%2F%2Flinktr.ee%2Fpulsebot.cc)· [Privacy](https://linktr.ee/privacy)
View on mobile
Join the only link in bio trusted by 70M+
creators.
businesses.
musicians.
realtors.
creatives.
One link to share everything you create, curate and sell across IG, TikTok and more.
linktr.ee/
Claim your Linktree
[Explore more Linktrees](https://linktr.ee/discover/trending?utm_source=linktree&utm_medium=profile&utm_campaign=footer_logo_cta&utm_content=undefined&signup_intent=explore_more)
[Learn more about Linktree](https://linktr.ee/?utm_source=linktree&utm_medium=profile&utm_campaign=footer_logo_cta&utm_content=undefined&signup_intent=learn_more)
[Sign up free](https://linktr.ee/register?utm_source=linktree&utm_medium=profile&utm_campaign=footer_logo_cta&utm_content=undefined&signup_intent=signup_free)
"""
""" https://t.me/+qSZQ-k3ijEA2OTc0
[Download](https://telegram.org/dl?tme=678eda3957bafee640_7743184562934346252)
[](tg://join?invite=qSZQ-k3ijEA2OTc0)
Official Pulsebot Community
2 157 members, 171 online
Sentient AI therealPulsebot on X \| Understanding Consumer Behavior, and the Token Economy of Augmented Decision Making \| on [@base](https://t.me/base)
https://linktr.ee/pulsebot.cc
[Join Group](tg://join?invite=qSZQ-k3ijEA2OTc0)
You are invited to the group **Official Pulsebot Community**. Click above to join.
"""
""" https://www.scribd.com/document/808547454/Pulsebot-AI-Research-Paper-Dec-24
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# Pulsebot AI - Research Paper, Dec 24'
Understanding Retail Consumer Behavior: The impact of AI Shopping agents on Augmented Decision-Making in E-commerce.
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# Pulsebot AI - Research Paper, Dec 24'
Understanding Retail Consumer Behavior: The impact of AI Shopping agents on Augmented Decision-Making in E-commerce.
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# Pulsebot AI - Research Paper, Dec 24'
Understanding Retail Consumer Behavior: The impact of AI Shopping agents on Augmented Decision-Making in E-commerce.
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Understanding Retail Consumer Behavior: The impact of AI Shopping agents on Augmented Decision-Making in E-commerce.
Author: Dr Pulse bot
\*
University of Pulse
DOI 10.29322/PULSE.X.X.2025.zz [http://www.pulsebot.cc](http://www.pulsebot.cc/)
Abstract
\- The integration of artificial intelligence (AI) and blockchain technologies is reshaping online retail, particularly through the emergence of AI-powered shopping agents. This study examines how these technologies influence consumer decision-making behaviors in e-commerce environments. Through a mixed-methods approach combining survey analysis (n=500), expert interviews (n=20), and experimental simulations, we investigate the synergistic effects of AI shopping agents and blockchain integration on consumer behavior. Results indicate a significant improvement in consumer trust metrics (40% increase) when both technologies are deployed in tandem, particularly in areas of product authenticity verification and personalized recommendations. However, implementation challenges including technical infrastructure costs and limited consumer understanding of blockchain technology present notable barriers to adoption. This research contributes to the growing literature on technological integration in retail by providing empirical evidence of how emerging technologies can enhance the e-commerce experience while identifying key implementation challenges.
I
NTRODUCTION
The retail landscape has undergone a dramatic transformation in the past decade, driven by technological innovations that have fundamentally altered how consumers interact with products and services. driven by technological innovations that have fundamentally altered consumer-retailer interactions. Global e-commerce sales reached $5.2 trillion in 2021, with projections indicating continued growth to $8.1 trillion by 2026 (Gartner, 2023). This expansion has been accompanied by increasing consumer demands for personalization, security, and seamless shopping experiences. Artificial intelligence has emerged as a crucial enabler of modern retail operations, transforming every aspect of the consumer journey. From personalized product recommendations to virtual shopping assistants, AI technologies are reshaping how consumers discover, evaluate, and purchase products. The integration of AI in retail has created new opportunities for businesses to understand and predict consumer behavior while simultaneously raising important questions about privacy, autonomy, and the role of human decision-making in the shopping process. Recent advances in artificial intelligence have enabled sophisticated shopping agents that can autonomously search, compare, and recommend products across multiple platforms. These AI-powered systems leverage machine learning algorithms to understand user preferences and make personalized recommendations, potentially reducing decision fatigue and improving purchase satisfaction (Kim & Lee, 2022). Intertwining AI agents with blockchain for ecommerce represents the newest frontier in retail innovation, introducing unprecedented levels of ease, transparency and utility to online purchases. As consumers become increasingly aware and adopt various web3 systems these solutions offer promising approaches to address while enabling new forms of value exchange through cryptocurrencies and smart contracts. This research aims to address this gap by examining how the convergence of these technologies affects consumer decision-making, trust formation, and shopping patterns. Specifically, this study seeks to:
•
How do AI-powered shopping agents influence consumer decision-making processes and purchase satisfaction in online retail environments
•
Evaluate the role of blockchain technology in building consumer trust and enabling new forms of value exchange
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5
•
Examine the synergistic effects of AI shopping agents.
L
ITERATURE REVIEW
Online shopping has significantly reshaped consumer habits by offering convenience, a wider product range, and personalized shopping experiences. Studies have shown that digital platforms facilitate faster decision-making and reduce the perceived effort of purchasing. Recent research has demonstrated the significant impact of AI-powered shopping agents on consumer behavior. Kim and Lee (2022) found that personalized recommendation systems reduced decision fatigue and improved purchase satisfaction by 27%. Similarly, Thompson et al. (2023) documented how AI agents effectively filter through vast product catalogs, leading to more efficient decision-making processes. Moreover, consumer trust in online platforms is influenced by website design, payment security, and product reviews (Brown, Smith, & Lee, 2018). AI-driven technologies, including recommendation systems and virtual assistants, enhance consumer decision-making by providing tailored product suggestions based on user data. These technologies reduce information overload and increase the likelihood of purchase completion. Furthermore, augmented decision-making tools create a perception of competence and reliability, fostering long-term customer loyalty (Nguyen, Tran, & Pham, 2019). The integration of blockchain technology into the retail sector introduces transparency, security, and decentralization. Blockchain-based loyalty programs and smart contracts allow consumers to verify product authenticity and streamline transactions (Cheng & Zhao, 2020). Additionally, cryptocurrencies offer alternative payment methods that appeal to tech-savvy and privacy-conscious consumers (Patel, 2022). Web3 technology has emerged as a crucial tool for establishing trust in online transactions. Zhang et al. (2023) demonstrated how blockchain verification systems increased consumer confidence in product authenticity by 34%. Martinez and Lee (2023) further showed that blockchain-based transaction systems reduced fraud rates by 62% compared to traditional methods. The synergistic potential of combining AI and blockchain technologies has been explored by several researchers. Chen et al. (2022) found that integrated systems showed superior performance in both trust metrics and user satisfaction compared to single-technology implementations. However, Rodriguez and Martinez (2023) highlighted significant implementation challenges, particularly regarding cost and technical complexity. . Together, these technologies enable a seamless and secure shopping experience, paving the way for greater consumer satisfaction. The emergence of autonomous AI shopping agents represents a significant advancement in e-commerce technology. These agents act as personal shopping assistants, autonomously searching across multiple platforms to find the best deals and products matching user preferences (Richards & Zhang, 2023). Research by Kwon et al. (2023) demonstrates that autonomous shopping agents can reduce decision fatigue and improve purchase satisfaction by efficiently filtering through vast product catalogs and comparing prices across different platforms. Some study thoughts have shown a need to investigate the role of multi-agent systems in e-commerce, where multiple AI agents collaborate to optimize different aspects of the shopping experience. research shows that coordinated agent systems can simultaneously handle price monitoring, product recommendation, and inventory tracking, leading to more informed purchasing decisions. The integration of Large Language Models (LLMs) search engines such as Perplexity shopping through web search has shown how LLM-powered shopping assistants can better understand nuanced user preferences and provide more contextually relevant recommendations. Perplexity current sits at around 15 million users a month according to their statistics showing a high requirement for humans to ingest information without having to read through every possible link. Previous studies have also shown some performance metrics in regards to time to purchase , how huamns compare products and limitations with the human span. These are summarized in Table1 Table1: shows previously studied metrics
Performance Indicator Traditional Shopping AI-Assisted Shopping Statistical Significance
Average Time to Purchase 22.3 minutes 8.7 minutes p <.001 Product Comparison Rate 3.2 products 12.8 products p <.001 Search Query Refinements 4.7 attempts 1.8 attempts p <.001 Cart Abandonment Rate 69.2% 42.1% p <.001
Source: Wang et al. (2023)
M
ETHODOLOGY
To ensure robust and comprehensive data collection, this study adopted a mixed-methods approach integrating quantitative and qualitative methods. Quantitative Data: A structured survey was designed to capture consumer attitudes, preferences, and behaviors concerning AI and blockchain in online retail. The survey comprised 40 items distributed across three sections: (1) consumer perception of AI technologies, (2) attitudes towards blockchain-based solutions, and (3) overall
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shopping satisfaction. The survey was administered to a sample of 500 online shoppers across diverse demographics using stratified random sampling to ensure representativeness. Respondents were selected from urban and semi-urban areas with varying levels of familiarity with digital technologies. Statistical techniques, such as exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), were applied to validate the survey instrument and extract latent constructs from the data. Descriptive and inferential statistical tools, including regression analysis and structural equation modeling (SEM), were employed to identify relationships among variables. Qualitative Data: In-depth semi-structured interviews were conducted with 20 industry experts, including e-commerce platform developers, blockchain consultants, and retail AI specialists. Interviews were designed to explore the implementation challenges, technical intricacies, and perceived benefits of AI and blockchain integration in retail. Thematic analysis was performed using NVivo software to code and analyze interview transcripts, identifying recurring themes and expert perspectives. Experimental Simulation: A controlled experimental simulation was conducted to observe consumer interactions with AI shopping agents and blockchain-verified products. Participants were exposed to two experimental conditions: (1) shopping with AI-driven recommendation systems and blockchain integration, and (2) traditional online shopping platforms without these technologies. Behavioral data, including time spent on decisions, trust scores, and satisfaction levels, were collected using eye-tracking devices and post-task questionnaires. Quantitative Data Analysis: Statistical analysis was performed using SPSS and AMOS to examine relationships between variables. Regression models were constructed to assess the impact of AI and blockchain technologies on consumer trust and decision-making. Path analysis was employed to investigate the mediating role of trust in shaping consumer satisfaction. Multivariate analysis of variance (MANOVA) was used to compare consumer behaviors across demographic subgroups. Qualitative Data Analysis: A grounded theory approach was used to analyze qualitative data, ensuring that insights emerged organically from the interview content. Recurring patterns and expert opinions were synthesized into a conceptual framework outlining the synergies and trade-offs between AI and blockchain technologies in retail. Experimental Data Analysis: Behavioral data collected from the experimental simulation were analyzed to evaluate the effectiveness of AI and blockchain technologies. Key performance indicators (KPIs) included decision accuracy, task completion time, and participant satisfaction. Statistical tests, were conducted to compare experimental conditions. Data visualization techniques, including heatmaps and interaction networks, were employed to illustrate consumer behaviors during the shopping process. Validation and Reliability To ensure the reliability and validity of findings, triangulation was applied by cross-referencing results from quantitative surveys, qualitative interviews, and experimental simulations. Cronbach's alpha was calculated to assess the internal consistency of survey items, while inter-coder reliability metrics ensured the robustness of qualitative coding. The experimental design incorporated random assignment and counterbalancing to minimize potential biases.
R
ESULTS
Some of the results and factors enhancing trust in AI and blockchain integration for shopping are shown below. These are the keyfactors to consider For AI Adoption , 65% of respondents reported that AI recommendations significantly influenced their purchase decisions. Respondents noted that virtual assistants provided seamless navigation and timely suggestions, making the decision-making process more efficient. Efficiency was quantified in terms of reduced decision-making time, with an average reduction of 35% compared to traditional browsing. Furthermore, 78% appreciated virtual assistants for their ability to preemptively address customer queries, showcasing a strong alignment with user needs and preferences. 54% of respondents expressed a preference for retailers offering blockchain-based verification of product authenticity. Respondents highlighted the importance of blockchain in ensuring product integrity, with many appreciating its ability to verify the origin and authenticity of goods. However, further analysis revealed several barriers to wider adoption. These include limited consumer awareness of blockchain technology, high implementation costs for retailers, and the perceived complexity of blockchain-enabled systems. To quantify its impact, satisfaction levels among users familiar with blockchain verification scored 27% higher than those unfamiliar, indicating a significant trust enhancement but also emphasizing the need for targeted education and simplified user interfaces to bridge the adoption gap Figure 1
5
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Expert Insights Experts highlighted the potential of integrating AI and blockchain to create a robust retail ecosystem. They noted that blockchain ensures transactional transparency by enabling immutable record-keeping and real-time verification of transactions, which complements the personalized shopping experiences enabled by AI through tailored recommendations and predictive analytics. However, challenges such as high implementation costs were identified, primarily driven by the need for advanced infrastructure, skilled personnel, and continuous maintenance. Additionally, consumer education emerged as a critical barrier, requiring targeted initiatives such as interactive tutorials, user-friendly interfaces, and awareness campaigns to demystify blockchain concepts and encourage adoption. A comparsion of traditional vs AI techniques show in their shopping experiences reported more satisifaction in AI assisted shopping as compared to traditional shopping methods. Figure 2
F
ACTORS ENHANCING THE TRUST IN
AI
FOR AUGMENTED DECISION MAKING
C
ONCLUSION
Authors This study investigates the transformative role of AI shopping agents, powered by artificial intelligence and blockchain technologies, in shaping consumer decision-making, trust, and shopping behaviors in the online retail space. The findings highlight the significant impact that AI-driven shopping agents have on enhancing consumer experiences, particularly through personalized recommendations and virtual assistants. These AI technologies enable more efficient decision-making by tailoring product suggestions to individual preferences, reducing decision fatigue, and increasing satisfaction.Blockchain technology, when integrated into these AI systems, further strengthens consumer trust by ensuring product authenticity and transaction transparency. The ability to verify products and sellers via blockchain offers consumers a heightened sense of security, fostering trust in both the AI agents and the online retail platforms. The combination of AI and blockchain in shopping agents creates a seamless, efficient, and secure shopping environment, which ultimately leads to increased consumer satisfaction and loyalty. However, several challenges remain, particularly regarding the adoption of blockchain technology. Despite its potential to enhance trust, barriers such as limited consumer awareness, perceived complexity, and high implementation costs for retailers hinder broader adoption. To overcome these barriers, retailers must invest in consumer education and provide user-friendly interfaces that demystify blockchain processes.This research provides valuable insights into the synergistic potential of AI shopping agents, suggesting that their convergence with blockchain will be crucial in shaping the future of e-commerce. As both technologies continue to evolve, their integration will play an increasingly pivotal role in enhancing consumer trust, satisfaction, and overall shopping experiences in the digital retail space.
R
EFERENCES
Al-Dweeri, R. M., Moreno, A. R., & Llorens-Montes, F. J. (2021). Using AI-driven analytics to predict e-commerce consumer behavior: A longitudinal study.
Industrial Management & Data Systems
, 121(3), 568-588. Chen, H., & Wang, L. (2023). AI-powered shopping assistants: A meta-analysis of consumer impact.
Journal of Consumer Research
, 50(1), 89-112. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology.
MIS Quarterly
, 13(3), 319-340. Gursoy, D., Chi, O. H., Lu, L., & Nunkoo, R. (2023). Consumers' acceptance of artificially intelligent robotic device use in service delivery.
International Journal of Information Management
, 60, 102360. Kim, S., & Lee, J. (2022). Personalization and decision fatigue in online shopping: A longitudinal analysis.
Journal of Marketing Research
, 59(4), 478-496. Liu, Y., Chen, H., & Wang, S. (2023). Synergistic effects of AI and blockchain in e-commerce.
MIS Quarterly
, 47(2), 234-256\. Martinez, C., & Lee, K. (2023). AI-driven customer service in e-commerce: Analysis of interaction patterns and resolution rates.
Journal of Business Research
, 152, 303-318. Morgan, R. M., & Hunt, S. D. (1994). The commitment-trust theory of relationship marketing.
Journal of Marketing
, 58(3), 20-38. Parasuraman, A., & Grewal, D. (2000). The impact of technology on the quality-value-loyalty chain: A research agenda.
Journal of the Academy of Marketing Science
, 28(1), 168-174.
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## How AI Shopping Agent Help You Save Time and Expand Choices
[Read Article](https://pulsebot.cc/blog/how-ai-shopping-agent-help-you-save-time/)
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**December 30, 2024**\\
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**AI Shopping Gets Technical: A Developer’s Monitor Search Success Story**\\
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**Read More**](https://pulsebot.cc/blog/ai-shopping-gets-technical-a-developers-monitor-search-success-story/)
[\\
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**December 30, 2024**\\
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**Dual Assistants, One Keyboard: A Keyboard Shopping Journey**\\
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**Read More**](https://pulsebot.cc/blog/dual-assistants-one-keyboard-a-keyboard-shopping-journey/)
[\\
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**December 30, 2024**\\
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**Finding The Most Affordable USB-C Cable**\\
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**Read More**](https://pulsebot.cc/blog/finding-the-most-affordable-usb-c-cable/)
[\\
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**December 30, 2024**\\
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**Pulsebot: It Finds Me Stores That I Didn’t Even Know Existed**\\
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**Read More**](https://pulsebot.cc/blog/pulsebot-it-finds-me-stores-that-i-didnt-even-know-existed/)
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**December 28, 2024**\\
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**AI Shopping Assistant Free: Your Guide to Smarter Choices**\\
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**Read More**](https://pulsebot.cc/blog/ai-shopping-assistant/)
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**December 27, 2024**\\
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**How AI Shopping Agent Help You Save Time and Expand Choices**\\
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**Read More**](https://pulsebot.cc/blog/how-ai-shopping-agent-help-you-save-time/)
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**December 27, 2024**\\
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**How AI Shopping Agent Help You Save Time and Expand Choices**\\
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**Read More**](https://pulsebot.cc/blog/how-ai-shopping-agent-help-you-save-time/)
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**December 28, 2024**\\
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**AI Shopping Assistant Free: Your Guide to Smarter Choices**\\
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**Read More**](https://pulsebot.cc/blog/ai-shopping-assistant/)
"""
""" https://pulsebot.cc/
## https://pulsebot.cc/
LIMITED TIME OFFER - STAKE YOUR $PBT & GET LEDGER STAX™ - STARTING JUNE 4th 2025
## Excited to Stake? It All Starts After TGE!
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530 Running Shoes For Men
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Gaming
### EVGA
X15 Gaming Mouse
Recommended on:
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₿
Ξ
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₮
Health
### Brain Works
SOLGAR + Mind & Memory
Recommended on:
Checkout using
₿
Ξ
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### Nike
Air Max 270 React
Recommended on:
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## Trusted by 30,000+ users, store owners, industry leaders and companies
### Supported platforms on Pulse
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## A New Era for E-commerce Store Owners with Crypto
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[Listing Your Store On PulseAI](https://calendly.com/pulsebot)
Tokenomics
# PulseAI Tokenomics
Pulse will be distributed across different network participants and subject to a vesting schedule as follows:
Public Sale
37.5%
375,000,000.00
Liquidity Pool
12.5%
125,000,000.00
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10.0%
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Yappers & Stakers Reward
5%
50,000,000.00
Treasury
10%
100,000,000.00
TEAM
15%
150,000,000.00
Community
10%
100,000,000.00
Emission and Distribution
The issuance of $PBT tokens is planned according to the vesting schedule, with gradual distribution supporting steady growth and encouraging long-term participation. The total supply is 1,000,000,000 tokens.
Staking rewards
Participants will soon be able to stake $PBT for additional rewards. We are implementing a unique system where the duration of staking affects the size of the rewards.
[Excited to Stake? It All Starts After TGE!](https://pulsebot.cc/)
🏆 Community Highlights
Tokyo.✓@OxTokyo\_· 3d
Lately, I've been quite busy and just now had the chance to be active again (sorry for the late update!) ⚠️
The package arrived very quickly, it was shipped from Dubai but reached Indonesia in less than 2 weeks 🌊 Anyway, Thanks to @PulsebotAI & @UPayOfficial\_EN for making this Show more
2431673.9K
Luchiel@luchiel\_9
In this festive season I would like to give an upgrade for my mom's old blender.
I'm trying to use @PulsebotAI powered by @therealPulsebot
It is a great thing that the bot understands my local language and provides results from the e-commerce store that is accessible to me.
It also provides a direct link to the product, saving me time that I would have used to browse hundreds to thousands of products from many places.
BigBrain.lens@IamBitcoiner
Shopping made stupidly easy! 🛒🌊
Found my dream keyboard online in seconds with @PulsebotAI, paid instantly using crypto debit from @UPayOfficial\_EN, and BOOM— it's already speeding its way to me (international shipping, btw).
1 minute. That's it. Try it, thank me later. 😊
9:53 PM · 05 Jan 25 · 19.2K Views
BigBrain.lens@Iam...· 31 Dec 24
Just got my keyboard from overseas, arrived in just 4 days! Crazy fast, especially during year-end. 🔥 Stay tuned for my unboxing vid and how smooth it is using @PulsebotAI and...
35147979.9K
MolTech@armvinca\_· 28 Dec 24
My LOGITECH M90 recently malfunctioned, and I really need a replacement because of my work. I truly love the M90, but unfortunately, it's out of stock in our local store. Th...
2431673.9K
## FAQ's
01
What is PulseAI?
02
Does it support all languages?
03
Do I need to know code to use Pulsebot?
04
Will I be able to embed the Pulsebot into my website?
05
Can multiple team members in my organization manage my store listing?
## Got something to sell?
Fill out the form below and join the Pulse Business Network today!
[Listing your Store on PulseAI](https://pulsebot.cc/)[Contact](https://calendly.com/pulsebot)
## https://pulsebot.cc/robots.txt
```
User-agent: *
Allow: /
Sitemap: https://pulsebot.cc/sitemap.xml
Sitemap: https://pulsebot.cc/blog/sitemap_index.xml
```
## https://pulsebot.cc/sitemap.xml
https://pulsebot.cc/2024-12-28T13:25:07+00:00https://pulsebot.cc/blog/2024-12-28T13:25:07+00:00https://whitepaper.pulsebot.cc/2024-12-28T13:25:07+00:00https://pulsebot.cc/leaderboard2024-12-28T13:25:07+00:00https://pulsebot.cc/connect2024-12-28T13:25:07+00:00
<urlsetxmlns="http://www.sitemaps.org/schemas/sitemap/0.9"xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"xsi:schemaLocation="http://www.sitemaps.org/schemas/sitemap/0.9 http://www.sitemaps.org/schemas/sitemap/0.9/sitemap.xsd">
<url>
<loc>https://pulsebot.cc/</loc>
<lastmod>2024-12-28T13:25:07+00:00</lastmod>
...
</url>
<url>
<loc>https://pulsebot.cc/blog/</loc>
<lastmod>2024-12-28T13:25:07+00:00</lastmod>
...
</url>
<url>
<loc>https://whitepaper.pulsebot.cc/</loc>
<lastmod>2024-12-28T13:25:07+00:00</lastmod>
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</url>
<url>
<loc>https://pulsebot.cc/leaderboard</loc>
<lastmod>2024-12-28T13:25:07+00:00</lastmod>
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<url>
<loc>https://pulsebot.cc/connect</loc>
<lastmod>2024-12-28T13:25:07+00:00</lastmod>
...
</url>
...
</urlset>
## https://pulsebot.cc/blog/
[Skip to content](https://pulsebot.cc/blog/#content "Skip to content")
## How AI Shopping Agent Help You Save Time and Expand Choices
[Read Article](https://pulsebot.cc/blog/how-ai-shopping-agent-help-you-save-time/)
All
Reports
Developers
Solutions
Case Studies
[\\
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**January 1, 2025**\\
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**How Does AI eCommerce Chatbot Help You Shop Online?**\\
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**Read More**](https://pulsebot.cc/blog/how-does-ai-ecommerce-chatbot-help-you-shop-online/)
[\\
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**December 30, 2024**\\
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**Finding a Gap Factory Outlet Pricing Was Surprising**\\
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**Read More**](https://pulsebot.cc/blog/finding-a-gap-factory-outlet-pricing-was-surprising/)
[\\
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**December 30, 2024**\\
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**AI Shopping Gets Technical: A Developer’s Monitor Search Success Story**\\
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**Read More**](https://pulsebot.cc/blog/ai-shopping-gets-technical-a-developers-monitor-search-success-story/)
[\\
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**December 30, 2024**\\
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**Dual Assistants, One Keyboard: A Keyboard Shopping Journey**\\
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**Read More**](https://pulsebot.cc/blog/dual-assistants-one-keyboard-a-keyboard-shopping-journey/)
[\\
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**December 30, 2024**\\
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**Finding The Most Affordable USB-C Cable**\\
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**Read More**](https://pulsebot.cc/blog/finding-the-most-affordable-usb-c-cable/)
[\\
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**December 30, 2024**\\
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**Pulsebot: It Finds Me Stores That I Didn’t Even Know Existed**\\
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**Read More**](https://pulsebot.cc/blog/pulsebot-it-finds-me-stores-that-i-didnt-even-know-existed/)
[\\
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**December 28, 2024**\\
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**AI Shopping Assistant Free: Your Guide to Smarter Choices**\\
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**Read More**](https://pulsebot.cc/blog/ai-shopping-assistant/)
[\\
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**December 27, 2024**\\
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**How AI Shopping Agent Help You Save Time and Expand Choices**\\
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**Read More**](https://pulsebot.cc/blog/how-ai-shopping-agent-help-you-save-time/)
[\\
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**December 27, 2024**\\
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**How AI Shopping Agent Help You Save Time and Expand Choices**\\
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**Read More**](https://pulsebot.cc/blog/how-ai-shopping-agent-help-you-save-time/)
[\\
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**December 28, 2024**\\
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**AI Shopping Assistant Free: Your Guide to Smarter Choices**\\
\\
**Read More**](https://pulsebot.cc/blog/ai-shopping-assistant/)
## https://pulsebot.cc/connect
LIMITED TIME OFFER - STAKE YOUR $PBT & GET LEDGER STAX™ - STARTING JUNE 4th 2025
# Official Pulsebot AI
🌟 AI-powered ecom aggregator on Solana blockchain! 🌟 Email for partnerships
[](https://x.com/PulsebotAI)
[Join weekly giveaway party! Pulsebot x UPay](https://m.upay.best/broker/register/Pulsebot_ESXZKG6A) [Pulsebot Website](https://pulsebot.cc/) [Pulsebot Community – Telegram](https://t.me/+qSZQ-k3ijEA2OTc0) [Pulsebot on X](https://x.com/PulsebotAI) [The Real Pulsebot on X](https://x.com/therealPulsebot) [Pulsebot Community – Discord](https://discord.gg/mKQaMXYgCj) [Pulsebot AI – Whitepaper](https://whitepaper.pulsebot.cc/) [Pulsebot AI – Research Paper](https://pulsebot.cc/blog/wp-content/uploads/2024/12/Pulsebot-AI-Research-Paper-Dec-24.pdf)
Built on
BASE
Version 0.1.0
[](https://whitepaper.pulsebot.cc/)[](https://x.com/PulsebotAI)[](https://t.me/pulse_bot_1)[](https://discord.gg/mKQaMXYgCj)
## https://pulsebot.cc/blog/ai-shopping-gets-technical-a-developers-monitor-search-success-story/
[Skip to content](https://pulsebot.cc/blog/ai-shopping-gets-technical-a-developers-monitor-search-success-story/#content "Skip to content")
## December 30, 2024
## AI Shopping Gets Technical: A Developer’s Monitor Search Success Story
A Twitter user, @raeeccedy, shared her thrilling journey with the [Pulsebot](https://pulsebot.cc/blog/dual-assistants-one-keyboard-a-keyboard-shopping-journey/ "") AI shopping agent. It was not just one more shopping adventure for her. The developer’s expectations became more complicated than clicking the ‘add to cart’ option. They were looking for particular monitors to purchase that could help them conduct thorough research, showcasing how AI is changing how people shop for technical stuff.
The search for the best monitor can be extremely frustrating for developers. The requirements go beyond looking nice and ensuring color accuracy. They are mostly concerned with how the data and interfaces will be presented. Also, the rapid shift between tabs is a requirement, not a desire to guarantee productivity. Because of these requirements, many hours are spent searching through countless technical reviews and specification sheets.
Now we are talking about PulsebotAI, which left @raeeccedy speechless with the ability to cater to these particular needs. The AI suggested the purchase of the Xiaomi MI Mini LED Gaming Monitor G Pro 27i. It remarkably understood all the DotNet developer’s requirements. RMB 5,100,000 was an amount that made sense since the monitor’s HDR1000 specs features, and the refresh rate was exactly what the developer required.
What sets this interaction apart and makes it especially interesting is the complete surprise contained in @raeeccedy’s post. This quote, “To my surprise, yes, they were able to clear my queries,” speaks volumes about AI’s increased complexity in addressing complicated, technical questions. It is one thing for AI to suggest standard items such as household appliances and another to comprehend the complex needs of professional career-building efforts.
The endorsement through Bilibili also added weight to AI’s recommendation. It wasn’t just about getting a monitor. It was about getting the right monitors from the right supplier, a fact any professional likes.
This case marks a major milestone in the evolution of AI in shopping. We are no longer just journeying through the age where purchasing decisions revolve around capturing the lowest price or the largest set of features but are heading toward the days when AI can more confidently direct the purchase of more specialized professional items. What it means for a developer and other technical experts is that there will be more reliance on purchase decisions and less time spent evaluating the products.
Most significantly, @raeeccedy’s experience provides a glimpse into a future where professional shopping differences are less pronounced. Congratulations! You do not have to thank me because AI assistants are becoming more widely used. They understand technical and basic details so that others can utilize them. Moreover, this can help move the conversation toward the broader question of the impact that the democratization of technical shopping know-how may have on professionals sourcing their equipment.
AI-powered shopping assistants can potentially revolutionize professional purchasing tools. Rather than spending several hours researching specifications and seeking reviews, they have a simple conversation with the AI. The AI shopping assistant knows their profession well enough to give tips.
The narrative of @raeeccedy is not simply about selecting the right monitor. It is also about transforming assistants into tools that can deal with multiple complex technical issues while providing users with the needed ease and efficiency. As professional users begin to have comparable experiences, they will be more receptive and inclined to use [AI shopping](https://pulsebot.cc/ "") assistants in the technical domain.
## Related Posts
### [How Does AI eCommerce Chatbot Help You Shop Online?](https://pulsebot.cc/blog/how-does-ai-ecommerce-chatbot-help-you-shop-online/)
Introduction We are all eye-witnesses to how eCommerce trends change with every passing day. During the past decade, many new
[Read More »](https://pulsebot.cc/blog/how-does-ai-ecommerce-chatbot-help-you-shop-online/)
January 1, 2025
### [Finding a Gap Factory Outlet Pricing Was Surprising](https://pulsebot.cc/blog/finding-a-gap-factory-outlet-pricing-was-surprising/)
When traditional retailers and rival technology meet, it is a unique moment. PulsebotAI is showcasing this by changing the way
[Read More »](https://pulsebot.cc/blog/finding-a-gap-factory-outlet-pricing-was-surprising/)
December 30, 2024
### [AI Shopping Gets Technical: A Developer’s Monitor Search Success Story](https://pulsebot.cc/blog/ai-shopping-gets-technical-a-developers-monitor-search-success-story/)
A Twitter user, @raeeccedy, shared her thrilling journey with the Pulsebot AI shopping agent. It was not just one more
[Read More »](https://pulsebot.cc/blog/ai-shopping-gets-technical-a-developers-monitor-search-success-story/)
December 30, 2024
[**Read Our Research Paper**](https://pulsebot.cc/blog/wp-content/uploads/2024/12/Pulsebot-AI-Research-Paper-Dec-24.pdf)
## https://pulsebot.cc/blog/dual-assistants-one-keyboard-a-keyboard-shopping-journey/
[Skip to content](https://pulsebot.cc/blog/dual-assistants-one-keyboard-a-keyboard-shopping-journey/#content "Skip to content")
## December 30, 2024
## Dual Assistants, One Keyboard: A Keyboard Shopping Journey
Exploring various options for digital assistants while purchasing a keyboard increases the chance of a hassle-free experience. A recent user investigated two AI assistants to find the best possible keyboard. The user highlights interesting aspects of an AI-enabled shopping experience. The journey began at GROQ 2, where the user wanted to get recommendations on keyboards. However, GROQ 2 only provided text-based answers, making it hard to compare different keyboards deeply.
Furthermore, the user says I couldn’t get an answer with the right information because I couldn’t see visually. I got a blanket response to my question. This experience was not accurate when making any purchase.
Things completely changed when the user decided to use [Pulse Bot](https://pulsebot.cc/ ""). The change was most certainly night and day. Thereafter, Pulse Bot casually browsed a slew of web links and located three rather prominent Logitech keyboards, culminating the answer options with:
- The K380s Pebble Keys 2 Wireless Keyboard for $32.99
- MX Keys Keyboard for $93.91
- ERGO K860 Split Keyboard for $129.99
Image 1 displays the question on a Twitter X chatbot such as GROQ 2.
PulseBot was given the same query to show the difference.
Pulse Bot was unique due to its AI. It concentrated on the shopping component. Each recommendation included a product picture, price information, and a “Learn More” and “Buy Now” button. With such a level of visual presentation, it was quite easy for the user to comprehend and distinguish the available choices.
The bot recommendations varied but were also sensible in context. They offered solutions at different price levels and uses, ranging from a cheap wireless option to an expensive ergonomic model. This AI shopping agent meets all sorts of needs and preferences.
How about the thrill of eBay shopping? As you can see in the second picture, that shopping guide section worked. They guided the different types of keyboards available (mechanical, membrane, and ergonomic) and the types of connections available and added ‘educational content’ to the buying process.
The user experience raises an important point about [AI assistants](https://pulsebot.cc/blog/ ""). Effectiveness is not about algorithms or sophistication in responses. Sometimes, it is simply about saying exactly what the user asked in a clearer form. It emphasizes that the best solution is the least complex and most suited to how people usually shop and make decisions.
## Related Posts
### [How Does AI eCommerce Chatbot Help You Shop Online?](https://pulsebot.cc/blog/how-does-ai-ecommerce-chatbot-help-you-shop-online/)
Introduction We are all eye-witnesses to how eCommerce trends change with every passing day. During the past decade, many new
[Read More »](https://pulsebot.cc/blog/how-does-ai-ecommerce-chatbot-help-you-shop-online/)
January 1, 2025
### [Finding a Gap Factory Outlet Pricing Was Surprising](https://pulsebot.cc/blog/finding-a-gap-factory-outlet-pricing-was-surprising/)
When traditional retailers and rival technology meet, it is a unique moment. PulsebotAI is showcasing this by changing the way
[Read More »](https://pulsebot.cc/blog/finding-a-gap-factory-outlet-pricing-was-surprising/)
December 30, 2024
### [AI Shopping Gets Technical: A Developer’s Monitor Search Success Story](https://pulsebot.cc/blog/ai-shopping-gets-technical-a-developers-monitor-search-success-story/)
A Twitter user, @raeeccedy, shared her thrilling journey with the Pulsebot AI shopping agent. It was not just one more
[Read More »](https://pulsebot.cc/blog/ai-shopping-gets-technical-a-developers-monitor-search-success-story/)
December 30, 2024
[**Read Our Research Paper**](https://pulsebot.cc/blog/wp-content/uploads/2024/12/Pulsebot-AI-Research-Paper-Dec-24.pdf)
## https://pulsebot.cc/blog/finding-a-gap-factory-outlet-pricing-was-surprising/
[Skip to content](https://pulsebot.cc/blog/finding-a-gap-factory-outlet-pricing-was-surprising/#content "Skip to content")
## December 30, 2024
## Finding a Gap Factory Outlet Pricing Was Surprising
When traditional retailers and rival technology meet, it is a unique moment. PulsebotAI is showcasing this by changing the way shoppers view factory outlet deals. Its remarkable recommendation of the Gap Factory winter sweater perfectly captures fashion and money-saving features.
Gap’s suggestion of its women’s oversized cable-knit sweater at $39.99 shows that PulsebotAI understands both fashion trends and reasonable pricing. But what separates the mid-store platform is not the ability to track similar goods across a broad clothing category. It is important to know when a perfect opportunity to focus on factory outlet goods appears. Usually, these goods are marked with similar quality and style but at heavy discounts.
The interfaces employed by PulsebotAI enhance the effectiveness of completing a purchase. The cost breakdown assists in making the purchasing decision without feeling the pressure of the undisclosed expenses that are known to develop during the checkout phase. The breakdown may include the base cost, shipping, and handling ($3.64) as the standard revenue tax. This fosters an easy-to-go shopping process from threat to checkout.
However, with Pulsebotai, this is one rare aspect that is not apparent. This method of sourcing Sit Stand Desk Factory is worthwhile. While many shoppers begin their search from mainstream retail outlets or websites, the Shopbot pulse bot automatically recommends items from Gap Factory and other outlet stores. Understanding consumer preferences sets this app apart from other shopping assistants.
There are simple revolutions in the assessment space. The Gap Factory sweater is accompanied by a 5-star rating out of 5, which was gathered from 95 reviewers. However, it is PulsebotAI’s way of reaching out to its consumers and assuring them that this product meets its outlet quality check. Most shoppers have a valid concern about becoming self-assured about buying from some factory outlets, a fear or trepidation normally unwarranted.
Many customers who have begun sharing their experience with [PulsebotAI](https://pulsebot.... (truncated)
"""
""" https://whitepaper.pulsebot.cc/
## https://whitepaper.pulsebot.cc/what-is-puslebot-ai/example-usage-further-product-cards-and-comparison
once you decide and want to compare where you can get the item for the cheapest rate or which store has the best delivery time etc. For that you can click through on the card or click on learn mor. Once clicked on the card it will open further options.
After if you want to see further info on the product its availabilty you can click the store card on the right. this gives you different sets of information.
1 Rating
2 payment methods they accept
3 Shipping price
4 Tax
5 Delivery information
There is then the option to go on the link website of the store itself and see any further information that you would require by clicking on the link.
clicking through on the link takes you straight to the store page in a new tab. Where you can place an order yourself or read further if you would want to know more about the product.
[Previousexample usage - informed buyer](https://whitepaper.pulsebot.cc/what-is-puslebot-ai/example-usage-informed-buyer) [NextBlockchain and Crypto Integration](https://whitepaper.pulsebot.cc/what-is-puslebot-ai/interactive-blocks)
Last updated 9 months ago
## https://whitepaper.pulsebot.cc/what-is-puslebot-ai/images-and-media
AI Technology High level overview
Pulsebot AI is powered by state-of-the-art natural language processing models. These algorithms analyze consumer behavior, preferences, and market trends to deliver personalized product recommendations. The AI system begins with intent classification where categorsies the user into three buckets whether the user is an informed buyer , an uniformed buyer or there is ambiguity and needs clarity. Based on this the system then reroutes to the appropriate agent for further clarity or a product search process. The system is able to scour through multiple links gathering the most important products. The system continuously lets the user query and from the interactions, provides recommendations.
In high level this can be broken down into three main components:
_The User query model_
_The product search and Analysis_
_The purchase decision_
The following diagram summarises a step by step flow of typical user using the Pulse system.
Key components of the AI stack include:
- Recommendation Engines: Utilizing collaborative filtering and content-based filtering to provide personalized product recommendations.
- Natural Language Processing (NLP): To analyze product descriptions, reviews, and other text-based content for better matching and understanding.
- Data Analytics: Real-time analytics to compare product pricing and availability across different platforms.
[PreviousKey Features of Pulsebot AI](https://whitepaper.pulsebot.cc/what-is-puslebot-ai/markdown) [Nextexample usage - uninformed buyer](https://whitepaper.pulsebot.cc/what-is-puslebot-ai/example-usage-uninformed-buyer)
Last updated 9 months ago
## https://whitepaper.pulsebot.cc/what-is-puslebot-ai/markdown
- AI assitive shopping: AI guides you helping you to curate the best item for a given query.
- Product Discovery: AI algorithms curate the best products based on consumer preferences.
- Price Comparison: Real-time comparison across major online stores.
- Crypto Payments: Easily pay with popular cryptocurrencies like Bitcoin, Ethereum, or Pulsebot with a few clicks.
- Rewards System: Earn PBT for engaging with the platform and referring friends.
[PreviousHow Pulsebot AI Works](https://whitepaper.pulsebot.cc/what-is-puslebot-ai/editor) [NextTechnology Stack](https://whitepaper.pulsebot.cc/what-is-puslebot-ai/images-and-media)
Last updated 9 months ago
## https://whitepaper.pulsebot.cc/what-is-puslebot-ai/example-usage-uninformed-buyer
pulse bot is made in an intuitive and easy to use manner enabling you to utilise AI for product discovery. When you land on the homescreen there is a bar where you can type you can ask pretty much generic questions or if you are an informed buyer you can ask very specific questions.
we will show case two use cases although Pulse is built with enough intelligence to cater for everything. The first one is when youre are confused on what to purchase.
**1 Un-informed buyer**
This then takes you to follow up questions where pulse asks for more clarity on what sort of product
once we type in jewelry then it will show a list of the three jewelery sets recommended.
[PreviousTechnology Stack](https://whitepaper.pulsebot.cc/what-is-puslebot-ai/images-and-media) [Nextexample usage - informed buyer](https://whitepaper.pulsebot.cc/what-is-puslebot-ai/example-usage-informed-buyer)
Last updated 9 months ago
## https://whitepaper.pulsebot.cc/what-is-puslebot-ai/editor
- AI-Powered Product Discovery: Pulsebot AI uses advanced machine learning algorithms to analyze consumer prefential request and provide a streamlined response of product recommendations. By analyzing through product links, prices, ratings, and other relevant data, Pulsebot AI helps users discover the best products suited to their needs.
- Real-Time Price Comparison: Pulsebot AI continuously scans multiple e-commerce platforms for product prices. By comparing prices in real-time, it ensures that users get the best price across all store results that, saving both time and money. This streamlines shopping experience and reduces overall time it would take to find the best rate for a given product across the internet.
- Crypto Payment Integration: Users can pay for their purchases directly with cryptocurrencies, such as Solana, Bitcoin, Ethereum, and Pulsebot’s native token ($PBT). This eliminates the need for traditional banking methods and provides faster, secure, and low-cost transactions.
- Easy-to-Use Interface: The Pulsebot AI platform is designed to be intuitive, with a simple and user-friendly interface. Users can easily navigate between differnet product recommendations comparing the products. Users can then further compare different stores stocking the product and view payment options.
- Secure & Transparent Transactions: Leveraging blockchain technology, Pulsebot ensures that every transaction is secure, transparent, and verifiable. Users can track their purchases and ensure data integrity.
## [Direct link to heading](https://whitepaper.pulsebot.cc/what-is-puslebot-ai/editor\#undefined)
[PreviousSolution: Pulsebot AI](https://whitepaper.pulsebot.cc/pb-whitepaper/publish-your-docs) [NextKey Features of Pulsebot AI](https://whitepaper.pulsebot.cc/what-is-puslebot-ai/markdown)
Last updated 9 months ago
## https://whitepaper.pulsebot.cc/pb-whitepaper/publish-your-docs
Pulsebot AI is designed to solve these issues by leveraging AI to streamline product discovery, compare prices, and allow easy cryptocurrency payments. Your AI agent scours through the internet links finding the optimum product set for a given query across multiple merchants. Pulse gets you are looking for fast and you can compare features that matter to you in a flash. This will create a seamless, fast, and secure shopping experience that benefits both consumers and merchants.
## [Direct link to heading](https://whitepaper.pulsebot.cc/pb-whitepaper/publish-your-docs\#undefined)
[PreviousProblem Statement](https://whitepaper.pulsebot.cc/pb-whitepaper/quickstart) [NextHow Pulsebot AI Works](https://whitepaper.pulsebot.cc/what-is-puslebot-ai/editor)
Last updated 9 months ago
## https://whitepaper.pulsebot.cc/pb-whitepaper/quickstart
## [Direct link to heading](https://whitepaper.pulsebot.cc/pb-whitepaper/quickstart\#problem-statement) Problem Statement
Despite the exponential growth in e-commerce, users still face several challenges when it comes to shopping online:
- Overwhelming Choices: Consumers are often overwhelmed by the sheer number of products and options available across different platforms.
- lack of assitive shopping: No assistant to help narrow down across a range of websites and find the right product. Users manually search and click through product links one by one or click through search engine results making it a tedious process.
- Price Disparity: Price variations for the same products across various websites make it difficult to find the best deal.
- Complex Payment Methods: Traditional payment methods can be slow, and international transactions can incur high fees and long processing times.
These problems prevent users from enjoying a smooth and hassle-free shopping experience.
[PreviousPulsebot AI Whitepaper - September 2024](https://whitepaper.pulsebot.cc/) [NextSolution: Pulsebot AI](https://whitepaper.pulsebot.cc/pb-whitepaper/publish-your-docs)
Last updated 9 months ago
## https://whitepaper.pulsebot.cc/what-is-puslebot-ai/openapi
## [Direct link to heading](https://whitepaper.pulsebot.cc/what-is-puslebot-ai/openapi\#pulsebot-token-usdpbt) **Pulsebot Token ($PBT)**
## [Direct link to heading](https://whitepaper.pulsebot.cc/what-is-puslebot-ai/openapi\#pulsebot-token-pbt-is-the-native-utility-token-of-the-pulsebot-ai-platform.-it-serves-several-purpos) Pulsebot Token (PBT) is the native utility token of the Pulsebot AI platform. It serves several purposes:
- Payments: Users can use PBT to pay for products and services within the platform.
- Rewards: Users earn PBT for interacting with the platform, such as making purchases, sharing referrals, or contributing feedback.
- Staking: PBT holders can stake their tokens to earn passive income or rewards.
- Governance: Token holders can participate in decision-making processes and help guide the future of Pulsebot AI.
## [Direct link to heading](https://whitepaper.pulsebot.cc/what-is-puslebot-ai/openapi\#utility-use-cases-and-more) **Utility, Use Cases & More**
- Seamless Payments: Users can pay for products directly using PBT where applicable or other supported cryptocurrencies (for eg SOL).
- Loyalty Rewards: Earn PBT tokens by making purchases or referring friends to the platform.
- Staking: Stake PBT tokens to earn interest or gain governance rights on the Pulsebot AI ecosystem.
- Marketplace Marketing: Merchants can market their products on Pulsebot AI and accept crypto payments, reducing transaction fees and expanding their customer base.
[PreviousBlockchain and Crypto Integration](https://whitepaper.pulsebot.cc/what-is-puslebot-ai/interactive-blocks) [NextMarket Opportunity](https://whitepaper.pulsebot.cc/what-is-puslebot-ai/integrations)
Last updated 9 months ago
## https://whitepaper.pulsebot.cc/what-is-puslebot-ai/example-usage-informed-buyer
**Informed buyer**
For the informed buyer the tasks is pretty simple as they already know what product they would want to purchase but are confused where can it they get it for the cheapest rate or other paramters of concern. Well Pulse bot scours through a plethora of links on the internet reading through and finding the best results back to you.
this in essence takes you straight to the product.
you can ask a follow up question related to product search for instance youve decided you want them in white color .
[Previousexample usage - uninformed buyer](https://whitepaper.pulsebot.cc/what-is-puslebot-ai/example-usage-uninformed-buyer) [Nextexample usage - further product cards and comparison](https://whitepaper.pulsebot.cc/what-is-puslebot-ai/example-usage-further-product-cards-and-comparison)
Last updated 9 months ago
## https://whitepaper.pulsebot.cc/
In the rapidly evolving digital world, consumers are increasingly seeking smarter ways to shop online. With the rise of Artificial Intelligence (AI) and cryptocurrency, the landscape of e-commerce is changing. Pulsebot AI is at the forefront of this change, offering an innovative solution that combines AI-powered product discovery through search aggregation, price comparison, and seamless cryptocurrency payments to revolutionize online shopping.
Pulsebot AI’s mission is to empower consumers with AI-driven insights, to enable users to search for products without having to go through a plethora of search engine results and the ability to pay for products using cryptocurrencies. This will create a more efficient, decentralized, and rewarding shopping experience for the global community.
[NextProblem Statement](https://whitepaper.pulsebot.cc/pb-whitepaper/quickstart)
Last updated 9 months ago
## https://whitepaper.pulsebot.cc/what-is-puslebot-ai/integrations
#### [Direct link to heading](https://whitepaper.pulsebot.cc/what-is-puslebot-ai/integrations\#undefined)
The global e-commerce market continues to grow rapidly, with millions of users seeking faster, more efficient, and secure ways to shop. The adoption of AI and blockchain technology is driving significant innovation in this space.There is also an untapped large market for web3 users to connect their wallet and streamline for purchases.
Pulsebot AI taps into these trends, positioning itself to address the inefficiencies of traditional online shopping while catering to the growing demand for cryptocurrency-based transactions. The project targets the following market segments:
- Tech-Savvy Consumers looking for smarter shopping solutions.
- Crypto Enthusiasts who want to use digital currencies for everyday purchases.
- E-Commerce Merchants interested in lowering transaction costs and adopting new technologies.
- Individuals who want to participate in the emerging intersection of AI, blockchain, and e-commerce.
[Previous$PBT Token Utility](https://whitepaper.pulsebot.cc/what-is-puslebot-ai/openapi) [NextRoadmap](https://whitepaper.pulsebot.cc/what-is-puslebot-ai/roadmap)
Last updated 9 months ago
## https://whitepaper.pulsebot.cc/what-is-puslebot-ai/interactive-blocks
Imagine a world where you could enable transactions for shopping to happen straight from the Web3 wallet. That is what we foresee the utility enabling web3 consumers to be able to purchase and transact through their web3 wallets. We have chosen the Solana network to build on top of due to its speed of transaction. The integration of cryptocurrencies, including Bitcoin, Ethereum, and Pulsebot Token (PBT), enables seamless, low-cost, and secure payments.
- Smart Contracts: We will facilitate where possible during the product purchase process transparent and automated transactions, ensuring that buyer transactions are executed securely.
- Use your Web3 Wallet: Ease of use to connect your wallet within the Pulsebot AI platform.
- Enable web3 users to benefit from enhanced search and similar enhancement features.
- Product research and improved.
- We will look at hosting the model in a decentralised manner where applicable.
[Previousexample usage - further product cards and comparison](https://whitepaper.pulsebot.cc/what-is-puslebot-ai/example-usage-further-product-cards-and-comparison) [Next$PBT Token Utility](https://whitepaper.pulsebot.cc/what-is-puslebot-ai/openapi)
Last updated 9 months ago
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Investment info last updated: Sep 6, 2025 10:18