Foodle+

Real Insights. Smarter Decisions. Higher Revenue.

How Foodle+ Helped Boost Hotel Revenue Decisions By 35% Using Analytics

Discover how Foodle+ helped a hotel improve revenue decisions by 35% with real-time analytics and actionable insights.

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Revenue Growth

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Upsell Growth

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Add-On Sales

Guest using hotel services on a phone at a resort balcony

Overview

Introduction

A mid-size hotel in a stable travel market welcomes business guests and families alike. The property offers neat rooms, a restaurant, a spa, and a range of paid add-on services. Rooms stay busy across both high and low seasons. The team has run the place for years and knows its floor inside out. Loyal guests return often.

The hotel sold plenty of services. The catch was how it picked them. Revenue calls ran on gut feel, not facts. Nobody knew which offers made money and which lost it. Some weak offers lingered for months. Some strong ones barely got a push. Reports landed late and said little of use. The services were never the gap. The clear view was.

Before vs after

The Core Challenge

Weak revenue choices made without data. The hotel ran many services and offers. But the team could not tell what truly worked. Money slipped through the cracks every single month. Good ideas and bad ones looked the same on paper.

Key Issues

  • There were no figures on which services earned the most.
  • Reports were built by hand at each month's end.
  • Slow offers stayed live because nobody watched them.
  • High-margin services drew little focus or push.
  • Prices were set once and seldom revisited.
  • Lack of data on guest ordering patterns.

Most revenue calls were plain guesses. The team grafted hard yet ran blind. Without numbers, the same slip-ups came back month after month. Real profit sat unused all along. The guests were already buying.

What Foodle+ Delivered

  • A live dashboard tracking revenue by each service and offer.
  • Plain reports on what guests picked and what they ignored.
  • Revenue tools that flagged strong margins and weak spots.
  • Smart upselling that put the right offer before the right guest.
  • Daily figures the team could scan in seconds.
  • Staff still got live WhatsApp alerts for every guest request. They could act on each one straight from the chat, with no extra tool to open.

The Insight That Changed Everything

The Hotel Asked Foodle+ To Step In.

Foodle+ studied how the property kept track of its money. A clear way forward soon took shape. The fix was not fresh services. The fix was a sharp picture of what already paid off. The rooms and the menu stayed just as they were. The work was about insight, not extras. The aim was clear. Show the team what earned money and what did not, in plain numbers.

Rollout

How It Was Implemented

1

Week 1–2

Dashboard Setup

The dashboard loaded with all services and offers. Staff learned to read the daily figures. The first stream of live data arrived.

2

Week 3–4

First Live Numbers

The team saw real usage numbers for the first time. Weak offers were caught fast. Strong services climbed higher on the guest dashboard.

3

Month 2–3

Tune & Prioritize

Foodle+ followed each offer over time. Slow ones were dropped. Prices were tested and tuned. High-margin services rose to the top, week by week.

Guest using hotel services on a phone at a resort balcony
Outcomes

Results

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After a few weeks, the team's whole approach shifted.

They stopped guessing and started reading data. They could see which services paid and which leaked money, by day, by week, and by offer. Weak offers were cut within days. Strong services won better spots and more bookings. Prices now rested on real figures, not hunches. The team met each morning to scan the board. With every week, the calls grew sharper.

With clear data in hand, the right revenue calls become easy to make.

The same set of services was suddenly earning a lot more.

Performance data

Data Snapshot

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Avg. Revenue Per Guest

₹3,500₹7,020

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High-Margin Service Usage

38%58%

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Add-On Revenue Per Month

₹2,80,000₹3,75,000

Conclusion

The hotel already had the services, the guests, and the crew. All it lacked was a clear view of what was working. The data was always there. It simply had no shape before. Foodle+ carried the property from guesswork to data-led calls. Offers that drained money were cut. Services that paid well were pushed. Stronger revenue grew from the right Hotel Analytics Software, used on the guests already on site.

The numbers led, and the profit followed each month.