YANGO AI SEARCH

Inventory-aware, relevance-driven results so shoppers find and buy what they want immediately, increasing GMV and reducing empty searches

API-first integrations and a sandbox pilot roadmap let you validate impact quickly without rebuilding your storefront

Models and ranking are trained on real retail signals (assortment, stock, geography) so results reflect what actually sells in your stores and warehouses

A pilot deployment drove a +12% GMV increase by surfacing inventory-available, high-conversion items and reducing abandonment. Personalized ranking and session awareness raised basket value and reduced cancellations, demonstrating immediate revenue impact

By combining semantic search with inventory signals, the share of empty-result queries is less than 1%, keeping users engaged and enabling faster fulfillment. The reduced friction translated into smoother operations and better delivery economics

Smart ranking improved retention and conversion by surfacing relevant items based on session context and user behavior. The system’s continual learning made results increasingly relevant over time, increasing repeat purchases

Context-aware recommendations and dynamic promo boosting increased discoverability of promoted items while maintaining relevance, driving higher CTR and average order value. Smart control rules preserved diversity and prevented promo fatigue, improving long-term engagement