Every case below is live in production. IP fully transferred to the client on delivery. We don't retain access or use your data for model training.
Recommendation AI5.1
AI Personalisation Engine — From Catalogue to Conversation
A D2C brand with 800+ SKUs was showing the same homepage to every visitor. Cart abandonment was high and repeat purchase rate was declining. We built a real-time personalisation engine that adapts product display, recommendations, and promotional offers to each user's purchase history, browsing behaviour, and cohort patterns — updating with every session.
Outcome: Repeat purchase rate +34%. Average order value +22%. Cart abandonment reduced 28% in the first 60 days.
28%
Cart abandonment reduction
Real-time personalisationBehavioural AICohort modellingDynamic display
Multi-Outlet CRM5.2
Unified Customer Intelligence Across 40 Retail Outlets
A retail chain with 40 outlets and an online store had no unified customer view. A customer who bought offline was a stranger online. Loyalty points didn't sync. Staff couldn't see purchase history. We built a unified customer intelligence platform that merges all touchpoints, surfaces complete customer profiles at POS, and enables outlet managers to act on retention signals — from lapsed customers to high-value upsell opportunities.
Outcome: Cross-channel repeat purchase rate +41%. High-value customer churn reduced 33%. Average basket size per loyalty member +27%.
41%
Cross-channel repeat rate
33%
High-value churn reduction
27%
Loyalty basket size lift
Unified customer dataPOS integrationLoyalty intelligenceRetention AI