The Revenue
Intelligence Platform
From reactive pricing to autonomous revenue management
90-Day Pilot Results & Scale Proposal
The Opportunity
₹6,435 Cr Gap to Accelerate 2030
381 hotels · 78% occupancy · 10M NeuPass members
The path to ₹15,000 Cr needs more than RevPAR optimisation — it needs intelligence.
The Problem
Revenue left on the table.
Every night.
⏱
Reactive Pricing
Rates change after demand peaks. By the time the revenue manager logs in, the window has closed.
🔔
Missed Signals
MICE events, competitor flash sales, and social buzz happen at 2am. No one is watching.
🗄
Siloed Data
OTA parity, RFP pipeline, and sentiment live in separate systems. Connecting them takes hours.
What is Agentic AI
Not a dashboard.
An agent that acts.
Traditional BI tells you what happened. Our AI watches 24 signals in real-time, reasons about them, and executes rate changes — without waiting for a revenue manager to log in.
Powered by DigiStay.ai
The Platform
One platform.
Three AI layers.
Before / After
Traditional vs Agentic Revenue Management
Traditional Way
Manual · Reactive · Slow
⏰Revenue manager logs in at 9am, reviews yesterday
📊Pulls reports from 3 disconnected systems
🤔Rate change takes 2–4 hours to approve & push
🔕MICE buzz & flash sales missed at 2am
👤1 RM covers 5–8 hotels — overwhelmed
With DigiStay AI
Autonomous · Proactive · Instant
⚡Agent monitors 24/7 — no login required
🔗Unified view: PMS + OTAs + social + MICE + flights
🎯Rate recommendation in <30 seconds, auditable
🔔Real-time alerts on demand anomalies, any hour
🏢1 RM oversees entire portfolio with AI copilot
Time to Decision
2–4 hrs→<30s
240× faster
Signals Monitored
3→24+
8× broader
Surge Capture
~60%→~94%
+34 ppts
Hotels per RM
5–8→50+
10× scale
Benchmarks: Hospitality industry ops study · STR & HSMAI 2024 · DigiStay pilot telemetry
The Bigger Picture
This is just the
first agent.
✓ Live
📊
AI Revenue Manager
Autonomous rate management across all channels
✓ Live
💬
AI Copilot — Rev
Natural language insights for revenue managers
Coming
🤝
Guest Experience Agent
Hyper-personalisation at check-in & pre-arrival
Coming
🍽
F&B Yield Optimizer
Cover forecasting, menu pricing, wastage reduction
Coming
🏭
Procurement Intelligence
Supplier negotiation signals, cost benchmarking
Shared data layer — one integration, multiple ROI streams across the entire IHCL estate
Integration
Plugs into your stack.
Zero disruption.
🏨
Opera Cloud PMS
103 hotels
Bidirectional rate push
⟷
🤖
DigiStay AI
Revenue Engine
Sense · Decide · Act
⟷
💻
I-ZEST
129 hotels
Occupancy signal read
+ OTA parity monitoring: MakeMyTrip · Booking.com · Agoda · Expedia
4-week integration · No change to front-desk workflow · SOC 2 compliant
The Proposal
90-Day Pilot — 3 Properties
Month 1
Deploy & Observe
3 pilot properties — no PMS integration required
Rev Copilot live for revenue managers
Demand signal monitoring begins
Baseline RevPAR & competitor benchmarks set
Month 2
AI Recommendations
Live Agent Theater demos for leadership
Daily rate recommendation reports
MICE & event signal alerts active
Revenue manager feedback loop
Month 3
Measure & Decide
RevPAR uplift vs comp set audit
Platform ROI report to leadership
Full integration & scale proposal
FY26 partnership agreement
Zero integration risk:
Pilot runs alongside existing systems. No workflow disruption. Measurable RevPAR uplift in 90 days or we walk.
3 Props · 90 Days
The Decision
The window is
narrow.
Every week without autonomous pricing is revenue your comp set is capturing.
"₹3.84 Cr in 30 days.
At scale: ₹100+ Cr annually."
Next Step: PMS API Access + Pilot Agreement
DigiStay · demo.taj.airevenuemanager.com · Contact: digistay.ai