A new study, "LLM-Based Multi-Agent System for Simulating and Analyzing Marketing and Consumer Behavior", shows how retailers can use AI-driven consumer simulations to test prices, promotions, and loyalty programs before launch. LLM-powered agents mimic real customer behavior, habit formation, and social influence … turning marketing testing into a science rather than a gamble. ≫ Why it matters: Simulations eliminate high-cost trial and error. ≫ What's needed: LLM tools, behavioral data, and scenario modeling. ≫ How it's used: Predict promo impact, discover loyalty drivers, and refine pricing instantly. With simulation-driven marketing, retailers can predict behavior, cut waste, and create smarter, faster strategies. #AI #RetailInnovation #PredictiveMarketing #ConsumerBehavior
Integrating AI-driven simulations can significantly enhance decision-making accuracy and reduce costly errors in retail strategies.
Using LLM-powered agents for testing promotions or pricing is a game-changer for efficient marketing strategies.
GenAI Lead at Exxeta
5dlink to the paper … https://arxiv.org/pdf/2510.18155