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REVENUE ANALYSIS

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HOSPITALITY MANAGEMENT

Analysis of Revenue Loss in AtliQ Grands' Five-Star Hotels

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OVERVIEW

AtliQ Grands, a prominent player in the hospitality industry, is currently experiencing a decline in revenue for its five-star hotels. This analysis aims to thoroughly investigate and understand the factors contributing to this revenue loss, enabling stakeholders to make informed decisions for strategic improvements.

AtliQ Grands

Atliq Grands owns a collection of 25 five-star hotels situated in Mumbai, Delhi, Hyderabad, and Bangalore of India.

Peoperties

PROPERTY ID
LUXURY BUSINESS
Property Name / City Atliq Grands Atliq Exotica Atliq Blu Atliq Bay Atliq City Atliq Palace Atliq Seasons
Delhi 16558 16561 16562 16560 16563
Mumbai 17558 16559,17559 17561 17562 17560 175634 17564
Hyderabad 18558 18559 18561 18562 18560 18563
Bangalore 19558 19559 19561 19562 19560 19563

Types of available rooms

Room ID Room Class
RT1 Standard
RT2 Elite
RT3 Premium
RT4 Presidential

THE DATA SETS

Revenue

We can mainly use two datasets. One of the datasets contains information on both the revenue generated and the revenue realized from each property from May to June. Additionally, it includes data on the booking status, indicating from which platform customers booked the hotel.

Booking Details

The other datasets presents details on hotel bookings, capturing the count of successful bookings and the total room capacity for each room category within various properties on a daily basis.

ANALYSIS (PYTHON CODE)

Analysis On Revenue

Explore the code at the following links for analyzing total revenue, encompassing both generated and realized figures across cities, properties, and room categories.

The following assessment provides both monthly breakdowns and an overall summary for the three-month period from May to July.

The following will provide week wise analysis

RESULTS AND SUGGESTIONS FROM ANALYSIS

REVENUE FOR THREE MONTHS

Results 1: Revenue Genrated By Each City In Three Months


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Mumbai generated highest revenue followed by Banglore, Hyderabad, Delhi.

Each city generated an average revenue of 427192807.25 for the three months.

Consistency in Percentage of Revenue Realized:

Across all cities (Bangalore, Delhi, Hyderabad, Mumbai), the percentage of revenue realized with respect to revenue generated is consistently around 85%. This suggests a common trend of achieving approximately 85% realization of the generated revenue.

Suggestions

The 85% benchmark can serve as a reference for evaluating future performance. Cities with percentages below this benchmark may need attention to enhance their revenue realization processes.

Analyzing the factors contributing to the 15% difference between generated and realized revenue could uncover opportunities for optimization.

Results 2: Revenue Genrated By Each Property In Three Months


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Atliq Exotica in Mumbai generated the highest revenue for the three months. Atliq Grands in Delhi generated the lowest revenue for the three monnths.

The mean revenue generated by each property for the three months is 80301848.6

Distribution of revenue realised with respect to revenue generated for each property

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The percentage of revenue realized with respect to revenue generated is low for the following properties

Property ID Property Name Category City
3 16561 Atliq Blu Delhi
5 16563 Atliq Palace Delhi
6 17558 Atliq Grands Mumbai
8 17560 Atliq City Mumbai
10 17562 Atliq Bay Mumbai
17 18563 Atliq Palace Hyderabad
20 19560 Atliq City Bangalore
23 19563 Atliq Palace Bangalore

Result 3: Revenue From Each Room For Three Months


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RT2 and RT3 (Elite and Premium) are the best performing room categories, while RT1 (Standard) is the least performing one.

Mean revenue generated by each room catagory for the three month is 427192807.25


REVENUE FOR EACH MONTHS


Result 4: Total Revenue In Each Month


Month Revenue Generated Revenue Realized Revenue Difference
May 683,882,555 581,930,666 101,951,889
June 651,939,535 553,932,355 98,007,180
July 671,724,125 572,908,208 98,815,917

The revenue difference in the month of May is quite high compared to that of June and July.

Result 5: Revenue by each city, each property, and each room category on a monthly basis


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We observe a consistent pattern in the monthly revenue across each city, property, and room category: revenue peaks in May, dips in June, and then settles at a level between the two in July

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REVENUE ANALYSIS


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