The Grand Resort

A Journey into Hospitality Data

THE FOYER

Optimising Revenue Leakage & Profitability in the Hospitality Sector

A data-driven investigation into revenue leakage, occupancy gaps, and platform ROI across 7 properties and 230,000 bookings.

Prepared ByAkash Yadav
THE COURTYARD

THE SYSTEM

A nationwide footprint of 7 luxury and business properties across 4 major Indian cities.

MumbaiDelhiBangaloreHyderabad
Historical Records
0+
across 5 operational datasets
THE GUEST CORRIDOR

Rooms as Data

230,765 booking records · 100 representative room nights

OCCUPIED (68%)
AVAILABLE (7%)
LEAKED (25%)
68.2%AVG OCCUPANCY
24.7%REVENUE LEAKAGE
₹13.7LMONTHLY LEAKAGE
57K+LOST ROOM NIGHTS
THE WATCHTOWER

WHAT WE SAW FROM ABOVE

Not every booking becomes realized revenue.

CANCELLATIONS
NO-SHOWS
FAILED REALIZATION
109,796SUCCESSFUL STAYS
57,204LOST BOOKINGS
THE DRAWING ROOM

Where is the revenue leaking?

To stop a leak, you first have to find it. We couldn't just look at overall occupancy.

We needed to break down the performance across cities and room categories to find exactly where our pricing strategy was failing to capture value.

"The data holds the map. We just need to read it."

THE LIBRARY

KPI Benchmarks by City

CATEGORYRevPARADROCCUPANCYLEAKAGE
RT1
Standard
36763862.6%18.06%
RT2
Elite
32957261.7%33.03%
RT3
Premium
793137261.0%27.26%
RT4
Presidential Suite
2393405563.2%21.66%

"Mumbai has the highest total capacity (especially RT2) and the highest ADR for RT3. However, it also shows the highest weekday revenue leakage — concentrated in Elite rooms."

THE DURBAR HALL

The Investigation Paths

20 distinct pivot tables were constructed across 4 core themes to isolate the variables.

01May is the strongest revenue month

BOOKING & REVENUE

Weekday vs weekend patterns, monthly seasonality, city-wise revenue distribution

DASHBOARD LINK
02RT2 Elite — 33.03% leakage rate

ROOM CATEGORY

RT1–RT4 performance, ADR vs RevPAR gaps, leakage by category

DASHBOARD LINK
03Delhi leads at 64.02% occupancy

CAPACITY

Supply vs demand, city-wise utilisation, property-level inventory gaps

DASHBOARD LINK
04OTA volume ≠ OTA quality

PLATFORM & OTA

Channel performance, booking volume vs revenue quality, rating analysis

DASHBOARD LINK
05Atliq Seasons — lowest utilisation

PROPERTY LEVEL

Atliq portfolio analysis — top contributors vs leakage hotspots

DASHBOARD LINK
06Spa uptake <50% in 3 cities

SERVICES

Spa, event hosting, room service utilisation — bundling opportunity sizing

DASHBOARD LINK
THE TERRACE

The Evidence

All 9 dashboards from the final submission, recreated in a clean, accessible format.

THE BOARD ROOM

Strategic Interventions

RT1Standard
10% Weekday Price Drop

Rationale:

RT1 guests are highly price-sensitive. Small pricing tweaks lift occupancy. Bundling showed limited ROI for this segment.

~41%Avg ROI
3–4 monthsPayback
+₹24.6LEst. Uplift
RT2Elite
Bundle: Spa + Breakfast + Room Service

Rationale:

RT2 ADR is moderate but leakage is 33% — the highest of any room category. Bundling raises realized revenue without price cuts, and ROI far exceeds discounting.

~58%Avg ROI
2–3 monthsPayback
+₹38.4LEst. Uplift
RT3Premium
Premium Bundle: Spa + Breakfast + Late Checkout

Rationale:

Premium rooms must preserve ADR at all costs. Bundling boosts perceived value and closes the leakage gap — 30% higher RevPAR vs baseline.

~48%Avg ROI
~3 monthsPayback
+₹28.1LEst. Uplift
RT4Presidential Suite
Luxury Bundle: Butler + Spa + Gourmet Breakfast

Rationale:

Never discount ultra-luxury rooms — it destroys positioning. Focus on elite experiences to drive profitability from a low-volume, high-margin segment.

~25%Avg ROI
4–5 monthsPayback
+₹6.9LEst. Uplift
THE GARDEN

ROI Laboratory

Adjust the strategy implementation targets to see the projected monthly revenue impact.

+10%
Worst (5%)Best (15%)
40%
Worst (25%)Best (60%)
1 Added
Conservative (0)Aggressive (2)
RT1 Pricing Strategy+₹24.6L
RT2/RT3 Bundling+₹66.5L
Projected Net Monthly Uplift
91.1L
THE BALLROOM

The Final Impact

0L

Projected net monthly revenue uplift across the 7 core properties.

A Case Study ByAkash Yadav