Our client is an American retail giant with a promising e-commerce business. For their e-commerce website, the client wanted to build a recommendation engine that understands the preferences and intent of each customer and shows ‘what is trending’ in real time.
Datametica built the block which envisages a rich recommendation strategy and identifies customer preferences such as their category preference, brand preference, price sensitivity and more.
Datametica also implemented localization by adding filters based on weather, occasions, weekends, and holidays. SKU Intelligence is based on quantity of sales by ranking SKUs and selecting the fastest selling items above 60 percentile. Tuning is done by brushing off highly expensive items.
Improved Customer Experience
Increased Customer Loyalty
Maximized revenue streams
Up-selling & Cross-selling
Tools / Technologies
- Hadoop Ecosystem