Hotel software vendors all claim ROI. Most of those claims are vague. Here is the actual calculation — the one you can run on your own numbers, for your specific property, before spending a rupee.
"Save 3–4 hours per day." "Increase occupancy by 15%." "Reduce OTA dependency by 30%." These claims appear on every hotel software vendor's website, including competitors of NetShine. They are not lies — they are best-case results from cherry-picked properties. They are not your numbers.
The only ROI calculation that matters is the one based on your property's specific revenue, your OTA mix, your current ADR, and your operational cost structure. Here is how to build it in 20 minutes.
Open your PMS or channel manager reports and find for the last 3 months:
Formula: OTA Revenue × Average Commission Rate = Monthly Commission Spend
Count how many peak weekends, festival periods, and high-demand dates your property has in a typical month. For most Indian leisure destinations this is 6–10 high-demand nights per month.
On those nights, estimate what your current ADR is versus what it could be if you priced dynamically — not based on guesswork, but based on live demand signals and competitor positions. Conservative estimate: ₹200–500 per room per peak night captured earlier and at a higher rate.
Formula: (Additional rate per room) × (Rooms sold on peak nights) × (Number of peak nights) = Monthly AI pricing recovery
Example: ₹350 extra × 25 rooms × 8 peak nights = ₹70,000 per month in additional revenue that would have been missed with static pricing.
The direct channel recovery is the most powerful long-term ROI driver — it compounds over time as your direct guest base grows.
Start with a modest target: shifting 10% of your current OTA bookings to direct over 6 months. On your numbers:
Formula: (OTA Revenue × 10%) × Commission Rate = Monthly direct shift saving
Example: ₹25.8L OTA revenue × 10% shift × 18% commission = ₹46,440 per month saved. After 12 months, if direct continues to build, the saving compounds.
This is the least visible ROI line but it is real. A fragmented hotel software stack (separate PMS, channel manager, booking engine, payment gateway) requires manual data reconciliation. Studies of Indian hotel front desk operations show 45–90 minutes per day in manual data entry and reconciliation that a connected platform eliminates.
At ₹15,000/month front desk salary, 60 minutes per day of eliminated manual work equals approximately ₹3,750/month in staff time recovered. For a team of three, that is ₹11,250/month.
Adding the three recovery lines:
For a property paying ₹25,000/month for NetShine ONE, the payback ratio is approximately 5:1 in month one — and improves as the direct channel builds over subsequent months.
The honest caveat: these numbers are conservative estimates, not guarantees. The actual recovery depends on how aggressively you adopt direct booking tools, how quickly your guest database builds, and how much peak demand variability your destination has. But even at 50% of these estimates, the ROI is strongly positive.
Run these numbers on your own revenue figures before any conversation with any hotel software vendor — including us. The calculation tells you whether there is a real business case, and it keeps vendors honest about what they are actually claiming.
Book a 30-minute session — we will walk through your specific hotel and show you exactly where the gaps are.
