AMI Autonomous Marketplace Intelligence

AMI — Autonomous Marketplace Intelligence — is a multi-agent AI workspace that helps marketplace and e-commerce teams turn fragmented web signals into ranked, explainable business recommendations. Marketplace teams constantly need to decide what to sell, when to restock, how to price, which suppliers to trust, and which product opportunities are worth pursuing. Today, those signals are scattered across competitor marketplaces, supplier catalogs, product reviews, trend data, inventory movement, pricing changes, and availability signals. AMI uses Bright Data as its live web intelligence layer to collect marketplace, supplier, competitor, and trend signals from public web sources. Those signals are classified, normalized, and routed through specialized assistants. The system includes five coordinated agents: Trend Assistant: detects demand patterns, social momentum, and emerging product interest. Competitor Assistant: tracks pricing pressure, discounts, availability, and market saturation. Supplier Assistant: evaluates sourcing feasibility, supplier cost, delivery risk, and product match confidence. Inventory Assistant: analyzes stock posture, margin context, overstock risk, and operational opportunity. AMI Orchestrator: combines all assistant signals into a final recommendation with confidence, risk, evidence, and a suggested next step. Unlike a static dashboard, AMI is built around decision clarity. It does not simply display raw scraped data. It helps users understand what action to prioritize, why it matters, which agents contributed, what evidence supports the recommendation, and what risks or fallback limitations exist. The MVP supports product discovery, stock optimization, and revenue stock opportunity workflows. By combining Bright Data-powered web intelligence with a structured multi-agent decision layer, AMI helps teams detect opportunities earlier, validate sourcing risks, protect margins, and act faster in competitive marketplace environments.