A real enquiry pattern: two deluxe rooms, a price objection, an OTA comparison, a close. The right-hand column shows what the system is doing while the guest hears a conversation.
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Set your floor, then set what the guest pushes for. The discount ladder sits outside the model, so the agent is structurally incapable of going below the number you set. Published rate for this room type: ₹{{ publishedLabel }} per night.
Never quoted below, by anyone, ever. Set per room type per season.
Two nights, paying an advance today. That's what buys a concession.
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Rate quoted
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Off published
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Expected conversion
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Revenue per 100 enquiries
Push the floor down and revenue per hundred enquiries climbs, because at these elasticities volume wins all the way to the bottom. Which is the point: the floor, not the conversation, is the most consequential number you will set. Rate parity is enforced separately — the agent may add breakfast, an upgrade or a late checkout to beat an OTA, never a lower headline rate.
A live view of one 48-room property. Click anything — an hour, a stage, a date.
9am WhatsApp digest
34 calls, 11 bookings, ₹1.4L, 6 lost to price.
Owners check WhatsApp, not dashboards.
34
Calls answered
11
Bookings
₹1.4L
Room revenue
6
Lost to price
Calls by hour · click an hour
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Eight stages · click a stage
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March · enquiries you turned away · click a date
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₹4,32,000
Commission saved this quarter
₹7,400
Where leisure guests stop saying yes
41 mentions
Rival rates quoted to you on the phone
The cadence · click a step
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Most bookings die in the gap between "yes, interested" and money received. The moment the guest books, declines or opts out, the whole cadence stops.
Forty features, sequenced. Click a phase.
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A live sandbox for a fictional 48-room property. Haggle with it. Interrupt it. Switch to Hindi mid-sentence. Ask for a rate it isn't allowed to give.
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Request the number and we'll send it on WhatsApp, along with a rate card to haggle over.