Boston – Cimulate AI has announced the introduction of its own platform to redesign product discoveries via the first commercially optimized leading language model (LLM) built for agent commerce.
Cimulate Commercegpt is the first AI-Native platform built for agent commerce. This phrase refers to the use of AI-powered agents to autonomously handle shopping tasks, from product discovery to purchases and even post-purchase activities such as returns.
The company says Cimulate Commercegpt will drive an ongoing paradigm shift in e-commerce as consumers directly control some or all steps of the shopping experience and delegate to intelligent software agents.
“Our unique approach – distillation through simulation – “We're committed to providing a range of services to our customers,” said John Andrews, co-founder and CEO of Cimulate. Close the gap. It gives your search, recs, and conversational co-pilot the context they have always lacked. This new engine not only improves product discovery, but redefines it. ”
It is built to understand shoppers' intent and promote conversion
Unlike Bing, Google, and other traditional search engines, LLM is built to understand language and guess reason about purpose and purpose, the company says. “They interpret meaning as well as matching keywords. They not only remember actions, but also respond to nuances.”
However, general purpose LLMs are too broad and expensive to provide contextual commercial transactions. Cimulate Commercegpt is optimized to avoid these issues. It is built to understand shoppers' intentions and encourage conversion, the company says. “We start by training a lightweight search model with each customer's product catalog and behavioral data and enriching it with synthetic shopping-related knowledge from a generic LLMS. This allows us to simulate millions of realistic shopping sessions, large-scale test results and learn what to actually transform.”
Cimulate also introduces an MCP server, a tool that helps retailers and brands optimize agent-to-agent commerce transactions.
“Agent commerce has quickly become a common term associated with agents supporting human prompts, but a new future in which agents speak to each other following human prompts will arrive soon. And retailers need to prepare to speak to fluent agents. “Our approach helps them speak to respond to engines like ChatGpt, Prperxity, Claude, and more, in a unique natural language way that is completely different from the marketing strategies used by retailers to appeal to two or three words in Google search.”
