The frenzy of the 618 Shopping Festival has passed, and many people may still regret their impulse purchases. But the arrival of the era of AI agents may bring new possibilities to your consumption decisions. This article will explore how AI agents change our consumption habits, especially taking what is worth buying as an example, analyze how AI shopping guide agents can accurately recommend products, and ultimately create new business models.
When the smoke of 618 dissipated, what was left was the carnival of the hand-chopping party and the wailing of wallets. But don't worry, the new favorite in the AI industry - Agent, may be your regret medicine.
Since OpenAI's GPTs took the lead, agent platforms have sprung up, summoning different agents to collaborate with one click to create personalized intelligent assistants. No, on the Zhipu Qingyan platform, in addition to the official basic tools, third-party service APIs also come to join in the fun.
For example, plug-ins that generate mind maps with one click, or nearby search on Amap, or recommendations for good things worth buying, these intelligent agents are quietly changing our consumption decisions.
When it comes to what is worth buying, this e-commerce consumer guide APP is a great way to save money, with price comparisons, coupons, and good product recommendations all available. And when it is combined with AI, does it herald a new business model?
We tried to compare the agent on Kimi+ with the default Kimi intelligent assistant, and found that the AI shopping guide agent is more unified and clear in format and information presentation. It not only provides configuration information, but also displays the prices obtained during the 618 period, even down to the price differences of different configurations and colors.
And the "small value" in the What's Worth Buying APP has pushed the combination of AI and e-commerce to a new height. It can not only recommend products, but also jump to the e-commerce platform and add to the shopping cart with one click, achieving seamless connection from recommendation to purchase.
But what is the technical support behind this? What is Worth Buying Technology CTO Wang Yunfeng revealed that their AI strategy is to build a multi-agent architecture, self-developed large consumption models as the main force, and at the same time call on other large models to assist. This architecture decomposes different subtasks to specialized agents to achieve task collaboration.
Wang Yunfeng also mentioned that for large consumer models worth buying, they chose to enhance the professional skills of the model and give up some irrelevant capabilities. This differentiated choice provides new ideas for other Internet companies.
Therefore, what is special about AI shopping guide agents is not only that it provides more accurate consumption suggestions, but also how it combines with e-commerce to create new business models. In this large model ecosystem, how vertical industries find their own position and what AI practices are worth buying may provide the answer.
All in all, AI agents are profoundly changing the way we consume, and the convenience and accuracy they bring are expected to reshape the e-commerce industry. In the future, we will see more in-depth integration of AI and e-commerce, bringing consumers a smarter and more convenient shopping experience.