SOLUTION

Yango Recommendations

Personalized AI recommendations that boost conversions and lifetime value. Deliver highly relevant product discovery — in real time, for anonymous and logged-in shoppers

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WHY YANGO TECH

Action = result

Turn every click, hover and scroll into actionable signals. Predict the Next Best Action instantly, replacing static rules with context-aware personalization that drives measurable GMV and AOV growth

Proven impact

Typical integrated GMV uplift of 10-12% and recommendation-driven revenue attribution up to 40%

Session Intelligence

Instant personalization for anonymous shoppers — strong cold-start performance without prior history

Multi-surface optimization

Dedicated endpoints for Search, Product Pages and Cart to maximize discovery, consideration and last-mile conversion

TECHNOLOGIES

UserAction Models

Real-time ranking that combines behavior, product attributes and context to predict clicks and purchases

READY-MADE PRODUCT

Session Intelligence

Session-level inference for instant personalization and cold-start resilience for anonymous users

AUTONOMY

Behavioral Data Model

Highest-performance model using full event streams for deep 1:1 personalization

ANALYTICS

Historical Co-purchase Model

Quick-to-launch model based on order history and co-purchase signals when behavioral data is limited

READY-MADE PRODUCT

Static Recommendation Lists

Curated fallback lists for reliability during API failures or minimum-data scenarios

RETAIL AI

Abstract Boost Coefficients

Merchandising controls to promote or downweight items while preserving algorithmic placement

RETAIL AI

CASES

Drive discovery at scale

Yango Recommendations replaces generic lists with context-aware recommendations that increase recommendation views per session (reach 30–60% of sessions) and boost CTR in recommendation blocks to 4–10%. By surfacing relevant and inspirational items across entry points, we deepen browsing sessions, increase product interaction rates, and create more opportunities for cross-sell and category exploration

Boost last-mile conversion

Cart-optimized recommendations focus on AOV and GMV growth, delivering +6–15% add-to-cart uplift and larger baskets (+0.5–1.5 items). The models surface complementary or higher-value items at checkout moments, converting intent into incremental revenue and improving cart-to-checkout conversion

Recover anonymous shoppers & cold starts

Session Intelligence reads live behavior to make accurate first-touch predictions, enabling personalization even without authentication. This reduces abandonment by interpreting immediate session signals (clicks, scrolls, searches) and delivering relevant product suggestions with no historical profile required

Fast time-to-value without storefront rework

LAPI-first integration and dedicated endpoints let you deploy in weeks — from kickoff to production. Clients retain full UI control while using our analytics and A/B testing APIs to validate uplift, and fallback static lists ensure reliability if the recommendation API is unavailable

KEY CAPABILITIES

Real-time intent prediction

Our ML analyzes thousands of signals—behavior, product attributes and context — to predict the most relevant items in milliseconds

Multi-surface optimization

Search, Product Page and Cart endpoints are optimized for different user objectives: discovery, consideration and conversion

Transparent control & measurement

Abstract boosts for merchandising, client-managed A/B testing, and analytics dashboards to track reach, CTR, add-to-cart, AOV, GMV and funnel progression