The challenge
A cloud-kitchen operator running 4 brands across 18 dark kitchens in Bangalore and Hyderabad was watching Swiggy and Zomato ratings slip into the 4.0-4.2 band. Negative reviews stayed unanswered for weeks because no one owned the response. The customer database had 84,000 unique numbers but no segmentation. Loyalty was an Excel sheet. Repeat order rate was 19% and falling.
How we deployed
- Pulled live Swiggy and Zomato review streams across all 18 locations into a unified dashboard.
- AI auto-drafted brand-voiced responses to every 1-3 star review within 30 minutes; humans approved with one tap.
- Segmented the 84,000-customer base by recency, frequency, average order value and brand preference.
- Ran reactivation campaigns over WhatsApp Business — different offer per segment, never blanket discounts.
- Built a WhatsApp loyalty stamp programme — fifth order earned a free dish in the same brand, automatically.
What changed
- Average rating lifted from 4.1 to 4.5+ across all 18 locations in 75 days.
- Rs 78 lakh in net-new orders recovered from previously lapsed customers in one quarter.
- Repeat order rate climbed from 19% to 33% over 4 months.
- Negative review response time dropped from 9 days to under 30 minutes.
- Brand-level rating differential narrowed — weaker brands caught up to flagship.
"On Swiggy a 4.2 vs a 4.5 is the difference between top-of-list and page two. The ratings move alone paid for the engagement."
— Founder · Cloud-kitchen brand