The challenge
A revenue-management group serving 41 independent hotels was running rate-shopping manually across Booking, MMT, Agoda and Goibibo. A junior analyst spent 4 hours every morning pulling competitor rates into Excel. By the time the rate decision was made, the market had shifted. Channel manager updates lagged 30+ minutes, causing oversell incidents at month-end. Property GMs had no visibility into why their rate moved.
How we deployed
- Built automated rate-shopping every 30 minutes against 12 competitor sets across Booking, MMT, Agoda and Goibibo.
- Sync layer pushed rate changes from the central pricing engine to all OTA channels in under 3 minutes.
- Built a competitor alert dashboard — flagged when a comp-set hotel cut rates more than 8%, ran a flash sale, or hit sold-out.
- Pushed daily rate-strategy briefs to each property GM's WhatsApp with the why behind each move.
- Ran weekend pricing-decision agent that adjusted rates for low-occupancy properties without human touch under guardrails.
What changed
- Blended RevPAR lifted 23% across the 41-property portfolio in 6 months.
- OTA channel sync latency held under 3 minutes from rate decision to live OTA listing.
- Oversell incidents dropped 94% — month-end OTA disconnects essentially eliminated.
- Revenue analysts reallocated from Excel pulls to high-value forecasting and segmentation work.
- Property GMs had a clear daily WhatsApp brief explaining their rate position vs comp set.
"Our analysts used to spend mornings pulling rates from screens. Now they spend mornings making decisions. RevPAR moved 23% on the same demand — that is the cost of the manual work we were doing before."
— Director · Revenue management group