Composable retail intelligence
Adopt one module or the full suite. Every module shares a single product graph, customer graph, and measurement layer so search, recommendations, and media stay coherent.
DiscoveryOS by Particular Audience is a modular retail intelligence and retail media platform. It unifies AI-powered semantic search, personalization, recommendations, sponsored ads, display media, audiences, and unified reporting into 13 composable modules that retailers and retail media networks (RMNs) can adopt independently or together.
Adopt one module or the full suite. Every module shares a single product graph, customer graph, and measurement layer so search, recommendations, and media stay coherent.
Sponsored products, display, brand showcase, category sponsor, and guaranteed tenancy run on shared inventory and pricing — modelled in the free Retail Media Revenue Calculator across 14 verticals.
A live public MCP server exposes module metadata, case studies, and revenue-forecasting tools to ChatGPT, Claude, Cursor, and any MCP-compatible assistant.
AI-powered semantic search with keyword targeting and autocomplete.
Alternatives, cross-sell, bundles, brand and attribute conquesting on PDPs.
Homepage, category, and 1:1 personalized experiences across surfaces.
Automated rules, pinning, boosting, and category curation.
Cart cross-sell, complete-the-look, and bundle uplift.
Predictive reorder and subscription nudges based on purchase cycles.
Agent-ready APIs, MCP server, and assistant-commerce surfaces.
Onsite display, sponsored brand, and contextual placements.
Category takeovers and share-of-voice ad products.
Brand stores, hero placements, and editorial slots.
Guaranteed share-of-voice and fixed-tenancy ad products.
First-party audience building, lookalikes, and activation.
Unified measurement, attribution, and cross-module benchmarking.
Retail media network executives, heads of digital and ecommerce, RMN consultants, and brand-side investment teams building or benchmarking a retail media P&L.