Case Study: B.TECH achieves 18.6% attributable sales and 5% cross-sell revenue with Algonomy Recommend™

B. TECH Hyper-personalizes Key Touchpoints in Digital Commerce

B.Tech, Egypt’s number one consumer electronics retailer with 100+ stores and a fast-growing eCommerce business, needed to improve online product discovery and support complex, multi‑visit buying journeys across web, mobile site, Android and iOS apps. To deliver personalized experiences that help shoppers compare models, explore accessories and complete purchases, B.Tech partnered with Algonomy and deployed Algonomy Recommend™.

Algonomy implemented personalized placements sitewide — homepage, category and search pages, item pages with a “Compare with similar items” view, add‑to‑cart accessory recommendations and tailored cart‑page suggestions — plus real‑time profile and abandonment strategies. The solution drove measurable impact: attributable sales rose to 18.6% (from 11%), cross‑sell contributed 5% of revenue, cross‑sell RPMV was 2X the recommendations average, and cart‑page RPMV reached 10X the recommendations average.

B.Tech

Hazem Salah

Principal Product Manager for E-Commerce & Innovation