Manually updating rates across a calendar takes hours every week.
Hundreds of future nights, several room types, more than one channel. Something always slips, and it is usually the dates furthest out, where early bookers set the tone.
AI dynamic pricing for hotels
Stop setting rates by gut feeling.
Let demand set the price.
Bichanakya adjusts your room rates automatically from real demand signals, local events, booking pace and competitor pricing, so you capture more revenue on busy nights and fill more rooms on quiet ones.
- Your floor and ceiling, always respected
- Every change on the record
- Full automation is opt-in
Rate DeskIllustrative sample property
Forecast occupancy65.1% next 30 nights
Projected ADR₹5,775demand-weighted
Projected RevPAR₹3,762 updates on every change
Guardrails₹3,200 to ₹9,500 set by owner
Next 30 nights
Auto-apply within limitsMon₹4,200
Tue₹4,450
Wed₹4,700
Thu₹5,400
Fri₹6,250
Sat₹7,450
Sun₹6,050
Mon₹4,500
Tue₹4,250
Wed₹4,650
Thu₹5,000
Fri₹6,550
Sat₹7,250
Sun₹5,750
Mon₹4,800
Tue₹4,100
Wed₹4,550
Thu₹5,200
Fri₹6,950
Sat₹7,350
Sun₹6,150
Mon₹5,100
Tue₹4,100
Wed₹5,000
Thu₹6,100
Fri₹6,500
Sat₹7,600
Sun₹5,750
Mon₹5,150
Tue₹4,200
Adjustment logevery change recorded
- Sat, night 13₹6,700 ₹7,150Pace ahead of forecast Applied
- Tue, night 2₹4,400 ₹4,200Soft pickup Applied
Rate boundarySelected night
₹6,550
Floor ₹3,200Ceiling ₹9,500
- Largest single move20%
- Channels in sync All
Read together,
for every future night
- Booking paceHow fast each date is filling
- Local eventsConcerts, conferences, festivals, fixtures
- SeasonalityMonth and holiday patterns
- Day of weekWeekday and weekend behaviour
- Lead timeHow far ahead guests book
- Competitor ratesYour comparable set, per night
The problem
A rate sheet can't see Saturday coming.
Most hotels still price the next few months from a spreadsheet, a hunch and a quick look at the property next door. The cost does not show up as a line item. It shows up as nights sold too cheaply and nights left empty.
Local events and demand spikes get missed until it is too late.
By the time a sold-out weekend is obvious, most rooms have already gone at the ordinary rate. The spike was visible in booking pace days earlier.
Undifferentiated pricing leaves money on the table on your best nights.
One weekday rate and one weekend rate treat a quiet Sunday and a festival Saturday the same way. Your strongest nights end up subsidising your weakest.
How Bichanakya works
One loop, running every day.
Forecast, optimize, compare, sync. The same four steps a seasoned revenue manager follows, applied to every night on your calendar without waiting for Monday morning.
Step 01
Every future night gets a demand outlook.
Booking pace, seasonality, day-of-week behaviour, lead time and local events are read together to project how full each date is likely to be, and how firm that projection is.
Demand outlook14 nights
On the books Forecast at arrival
What the AI actually does
Clear about what it does, and what it never will.
Pricing is your decision. Bichanakya brings the evidence, does the arithmetic and carries out the change inside boundaries you define.
It does
- Forecasts demand per date using booking pace, seasonality and local event data
- Suggests an optimized rate for each night, with the reasons behind it
- Automatically applies rates within your limits, if you switch automation on
- Tracks comparable competitor rates for context on every date
- Logs every change, who or what made it, and why
It does not
- Override your minimum or maximum rate rules, for any night, for any reason
- Force full automation on you. Automation is opt-in and can be switched off at any time
- Change rates on dates or room types you have locked
- Hide its reasoning. Every suggestion shows the signals that produced it
Independent hotels
Revenue management, without hiring a revenue manager.
For owner-operators and small teams who set rates between check-ins and staff rosters. Simple setup, clear suggestions, and hours back every week.
Explore for independentsHotel groups and chains
One pricing discipline across every property.
Portfolio-wide consistency with per-property rules, a central revenue dashboard and a single audit trail across the group.
Explore for groupsThe facts that matter
Built around three commitments.
Daily
Demand forecasting, updated continuously as new bookings, cancellations and signals arrive.
Bounded
Automation that only moves inside the floor and ceiling you set. You own the limits.
Multi-channel
Rate sync across the booking channels connected to your PMS or channel manager.
Transparent, not a black box
Every rate change leaves a receipt.
Automated or approved, each adjustment is logged with the night, the old and new rate, the signals behind it and where it was sent. Review it, export it, question it.
Adjustment logSample entries
- Fri, night 12Local event detected, forecast 94%₹6,300 ₹7,450Auto
- Tue, night 9Pickup below reference curve₹4,300 ₹4,100Auto
- Sat, night 20Comparable set median +11%₹6,900 ₹7,300Approved
- Sat, night 27Suggestion held at ceiling₹9,500Limit
Pushed to connected channels Confirmed
Questions owners ask first
Before you hand over the rate sheet.
More detail on the pricing page and in Data & Security.
Will it change my rates without asking?
Only if you turn automation on. Out of the box, Bichanakya suggests and you approve. When you do enable automation, you can limit it to certain dates, room types or lead times, and it still never goes outside your floor and ceiling.
What do I need to get started?
Your property details, your current rate structure and access to your PMS or channel manager so we can read bookings and push approved rates. The revenue audit walks through your setup with you.
How does it know about local events?
Event data for your area is one of the demand signals the forecast reads, alongside booking pace. When pace on a date moves faster than expected, that is treated as evidence even if no event is listed.
Can I see why a rate was suggested?
Yes. Each suggestion shows the forecast, the pace against the reference curve, the comparable set position and the limits that applied. Every applied change is kept in the adjustment log.
Estimate your revenue lift
Put your numbers on the folio. See what a demand-led rate could be worth in a month.
Revenue folio30 nights
- Rooms
- 40
- Average nightly rate
- ₹4,500
- Occupancy
- 62%
- Current RevPAR
- ₹2,790
- Current room revenue, 30 nights
- ₹33,48,000
- Illustrative RevPAR with demand pricing
- ₹2,874 to ₹3,013
Illustrative additional revenue+₹1,00,440 to +₹2,67,840per 30 nights
This is an illustrative estimate based on typical patterns, not a live analysis of your property. It assumes a 3% to 8% RevPAR improvement range. Connect your PMS for your actual numbers.