AI agent is a term which has been used for decades. But here we are talking about an AI agent with a large language model. So you are making or plan to make an AI shopping agent by leveraging a large language model (LLM). You have probably already decided which LLM model(s) to use, closed models such as Anthropic or Gemini, vs. open models such as Llama or Mistral, US-based models such as OpenAI or xAI, vs. international models such as DeepSeek or Alibaba’s Qwen. But as Google AI agent whitepaper[1] mentioned, you probably need to integrate with some tools in order to make AI shopping agents do amazing things for your customers.

It is likely that you are focused on how to utilize LLMs to build an awesome agent and you need some external tools to help you do some shopping errands such as getting a merchandising catalog and making an order. You are not interested in doing this ecommerce plumbing work. Fortunately, there are some tools in the markets already available for this. CloudStore AI is such a tool. What can CloudStore AI do to empower your exciting AI shopping agent innovation?

Here are 3 must-haves for your AI shopping agent.

• Catalog API. You can easily get a merchandising catalog from more than 300 merchants, 6000 American and European brands, and 10,000,000 merchandising SKUs. You do not need to find ways to find this huge merchandising supply since we have been building this in the last 10 years and we keep adding supplies and improving the quality of this merchandising catalog such as data freshness.
• Order API. If you are truly a shopping agent, one action is a must-have, i.e., order a product, say, a pair of sneakers for your customers. Ordering sounds simple, but it is messy engineering work in reality. Fortunately, CloudStore AI has successfully made 5,000, 000 orders and delivered more than $1,000,000,000 worth merchandising items for clients all over the world (USA, China, South Korea, Australia, South America, etc.).
• Logistics tracking API. Your AI shopping agent may keep customers informed about where ordered merchandising items are located. Logistics tracking API enables your AI shopping agent and your customers to know the step-by-step journey of merchandising items, maybe from the other side of the world, say, Manchester of UK to the doorstep of your customer home in Los Angeles, California. We have accumulated shipping performance data over 10 years and know which merchants to recommend.

In addition, there are some additional tools such as Search API. If your shopping agent needs the search feature among 10,000,000+ merchandising items and you do not want to focus on this feature, you do not need to reinvent the wheel since CloudStore AI already offer the search API.

We strongly believe in the bright future of AI shopping agents. Different AI shopping agent innovation may cover the whole path of the shopping journey or only a part of the shopping journey. It may also get humans involved in the loop, as Langchain calls ambient agents[2]. But no matter what, CloudStore AI will provide a strong toolkit to AI shopping agents to fulfill the shopping errands in the whole shopping journey.

[1] https://www.kaggle.com/whitepaper-agents
[2] https://blog.langchain.dev/introducing-ambient-agents/