🎉 Gate Square Growth Points Summer Lucky Draw Round 1️⃣ 2️⃣ Is Live!
🎁 Prize pool over $10,000! Win Huawei Mate Tri-fold Phone, F1 Red Bull Racing Car Model, exclusive Gate merch, popular tokens & more!
Try your luck now 👉 https://www.gate.com/activities/pointprize?now_period=12
How to earn Growth Points fast?
1️⃣ Go to [Square], tap the icon next to your avatar to enter [Community Center]
2️⃣ Complete daily tasks like posting, commenting, liking, and chatting to earn points
100% chance to win — prizes guaranteed! Come and draw now!
Event ends: August 9, 16:00 UTC
More details: https://www
Agent-type AI and Web3 Integration: Leading a New Revolution in E-commerce
The Combination of Agent-type AI and Web3: A New Revolution in the E-commerce Sector
In discussions about how AI is changing the world, a new form called "Agent-type AI" is quietly emerging in the e-commerce sector. Unlike traditional AI chat tools, Agent-type AI is an "agent" that can autonomously perform tasks based on instructions. When combined with Web3 technology, it can not only recommend products but also execute smart operations like placing orders, making payments, and managing wallets.
Efficiency Pain Points in E-commerce and AI's Precise Solutions
Although current e-commerce platforms offer a vast selection, users often face the problem of low decision-making efficiency. For example, during holiday shopping, choosing the right gift from numerous products can take a long time. To address the issue of "high attention cost," Agent-type AI provides innovative solutions.
For example, users only need to provide a simple description of their requirements, such as "a birthday gift suitable for a 8-9 year old child who loves science within a budget of 200 yuan", and the AI can quickly filter, sort, and recommend the best options. This experience transforms from "users searching for products" to "optimal products being actively presented", greatly improving shopping efficiency.
Web3 Provides an Ideal Landing Environment for Agent-type AI
The traditional financial system has strict restrictions on AI-operated funds, which has become a major obstacle to the comprehensive application of agent-type AI in the e-commerce sector. The emergence of Web3 technology provides a potential solution to this problem.
In the blockchain ecosystem, each AI agent can have its own dedicated cryptocurrency wallet and autonomously complete payments and other operations through smart contracts. This means that AI can not only place orders on behalf of users but also complete the entire purchasing process, including the payment phase. Some innovative companies have already begun to practice in this area, developing open e-commerce infrastructure for AI, realizing the entire on-chain operation from product search to payment.
The Appeal of Web3 E-commerce to Merchants
The Web3 e-commerce model not only facilitates users but also offers significant advantages to merchants:
Reduce payment costs: Traditional payment systems often charge a fee of 2%-3%, while Web3-based payment systems can significantly reduce this cost.
Improve cash flow: The blockchain system supports near real-time settlement, enhancing the efficiency of fund utilization for merchants, which is especially beneficial for cross-border sellers who require quick turnover.
Innovative Business Ecosystem: Through the DeFi structure, users can become investors or liquidity providers for merchants, creating a more dynamic and open business ecosystem.
User experience is key
Although technologies like AI and blockchain may be unfamiliar to ordinary users, excellent product design can make these complex technologies "invisible" to users. Some pioneers are working to create products that are "as easy to use as magic but as simple as a mobile app," allowing users to enjoy the convenience brought by innovative technologies within a familiar interface.
Conclusion
The combination of Agent-type AI and Web3 is pioneering a new era in the e-commerce field. This integration not only enhances decision-making efficiency but also optimizes the transaction execution process. With further development and application of technology, the future shopping experience may become more intelligent and convenient, allowing users to simply describe their needs and the AI to complete the entire process from selection to purchase. This transformation is not just a technological advancement, but also an innovation in consumption methods.