Recovering 38% of abandoned carts with WhatsApp AI
38% cart recovery · BDT 2.4M extra revenue in Q1
🔥 The challenge
Ribana Fashion sells on WhatsApp and a Facebook shop, where a large share of buyers ask a question, add items, then go quiet — classic cart abandonment. With no system to follow up, those near-sales simply evaporated. The team could not manually chase every dropped conversation in Bangla at the right moment, and discounting blindly would have eroded margin. They needed a way to recover abandoned carts that felt personal, spoke Bangla, and protected average order value.
⚡ The solution
We deployed ShopBoost agents that detect cart abandonment and re-engage shoppers on WhatsApp in natural Bangla. When a buyer drops off, the agent follows up at the right interval with a personalized, on-brand message — referencing the exact items, answering the last objection, and offering a targeted incentive only when it makes sense, rather than a blanket discount. Bundle and upsell prompts were tuned to lift basket size rather than just close the sale, so recovered orders also came in larger.
🎯 The outcome
The agents recovered 38% of abandoned carts that would otherwise have been lost, and average order value rose 22% as the upsell prompts did their job. Together that added BDT 2.4 million in extra revenue in Q1 alone — from buyers the shop had already paid to acquire. Because the follow-ups run automatically in Bangla, the team captures this revenue without staffing late-night chases, and the recovery flow keeps working during sales spikes and holidays when manual follow-up would have collapsed.
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