How OmniReach partnered with a major B2C ecommerce retailer to design and deliver predictive purchasing, seasonal trend modeling, and AI driven personalization, resulting in improved product discovery and measurable site wide revenue growth.
OmniReach partnered with the retailer to design and deploy a predictive AI personalization framework that moved beyond static rules and reactive merchandising.
The solution was built to understand customer behaviouravior, timing, and intent and act on it in real time across the site.
At its core, OmniReach implemented:
Predictive purchasing models to anticipate restock needs based on historical buying cycles, consumption patterns, and seasonality
Seasonal trend modellingeling to dynamically adjust recommendations as demand shifted throughout the year
AI driven personalization that worked seamlessly for both registered and guest shoppers using behaviouralavioral and lookalike intelligence
The system continuously learned from live interaction signals, allowing personalization quality to improve over time while reducing operational effort for merchandising teams.
The deployment of predictive purchasing and AI driven personalization delivered immediate and measurable business impact across the retailer’s ecommerce platform.
Across the site, OmniReach enabled a shift from reactive selling to predictive, intent driven commerce delivering experiences that felt natural to shoppers and profitable for the business.
OmniReach helped the retailer shift from rule based personalization to predictive, intent driven commerce. By combining AI driven personalization with seasonal and purchasing intelligence, the solution delivered measurable revenue growth and scalable impact across the site.