Case Studies Operating Hours: What are the most profitable operating hours?

Edit This Case Study Record

	Operating Hours: What are the most profitable operating hours?

Operating Hours: What are the most profitable operating hours?

Technology Category	Analytics & Modeling - Predictive Analytics Analytics & Modeling - Real Time Analytics
Applicable Industries	Automotive
Applicable Functions	Business Operation
Use Cases	Predictive Replenishment Process Control & Optimization
Services	Software Design & Engineering Services System Integration
Challenge	Executives at a leading auto service chain wanted to identify the optimal operating schedule for its locations. Given heavy customer traffic on the weekends, management planned to open its service centers two hours earlier on Saturdays, but first wanted to understand the total profit impact of the change. Specifically, the client sought to understand if the extended hours would generate a sufficient increase in sales to offset the associated costs. Read More
About Customer	The customer is a leading auto service chain with numerous locations across the United States. The company is known for providing a wide range of automotive services, including maintenance, repairs, and inspections. With a large customer base and significant weekend traffic, the company is focused on optimizing its operations to maximize profitability. The management team is proactive in exploring new strategies and technologies to enhance customer satisfaction and operational efficiency. They are particularly interested in data-driven approaches to decision-making and have partnered with APT to leverage advanced analytics for their business operations. Read More
Solution	Using APT’s Test & Learn for Sites software, the client designed an in-market experiment to test the new hours in a representative subset of service centers and measure the incremental impact on profit. The software compared 'test locations,' where the hours were changed, to customized groups of similar 'control locations,' that did not undergo hour changes, to isolate the incremental profit impact of the operating hour changes. APT’s rigorous test-and-control analysis showed that the extended hours led to an 8.4% ($210 per location) lift in Saturday gross profit throughout the test period. The software revealed that the lift in profit came primarily from the extra hours and only caused slight cannibalization of mid-morning profits. However, while there was negligible impact on weekday profit, the analysis identified a 1.1% ($28 per store) decline in Sunday gross profit. Accounting for this cannibalization of Sunday profit and the required $170 in additional labor/operating costs per store, the auto service chain found that extending hours would cause a $43 decline in profit per store on average. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Predictive Analytics

Analytics & Modeling - Real Time Analytics

Applicable Industries

Automotive

Applicable Functions

Business Operation

Use Cases

Predictive Replenishment

Process Control & Optimization

Services

Software Design & Engineering Services

System Integration

Challenge

Executives at a leading auto service chain wanted to identify the optimal operating schedule for its locations. Given heavy customer traffic on the weekends, management planned to open its service centers two hours earlier on Saturdays, but first wanted to understand the total profit impact of the change. Specifically, the client sought to understand if the extended hours would generate a sufficient increase in sales to offset the associated costs.

About Customer

The customer is a leading auto service chain with numerous locations across the United States. The company is known for providing a wide range of automotive services, including maintenance, repairs, and inspections. With a large customer base and significant weekend traffic, the company is focused on optimizing its operations to maximize profitability. The management team is proactive in exploring new strategies and technologies to enhance customer satisfaction and operational efficiency. They are particularly interested in data-driven approaches to decision-making and have partnered with APT to leverage advanced analytics for their business operations.

Solution

Using APT’s Test & Learn for Sites software, the client designed an in-market experiment to test the new hours in a representative subset of service centers and measure the incremental impact on profit. The software compared 'test locations,' where the hours were changed, to customized groups of similar 'control locations,' that did not undergo hour changes, to isolate the incremental profit impact of the operating hour changes. APT’s rigorous test-and-control analysis showed that the extended hours led to an 8.4% ($210 per location) lift in Saturday gross profit throughout the test period. The software revealed that the lift in profit came primarily from the extra hours and only caused slight cannibalization of mid-morning profits. However, while there was negligible impact on weekday profit, the analysis identified a 1.1% ($28 per store) decline in Sunday gross profit. Accounting for this cannibalization of Sunday profit and the required $170 in additional labor/operating costs per store, the auto service chain found that extending hours would cause a $43 decline in profit per store on average.

Impact #1	APT software identified select locations in the network where the hour changes would have a positive impact.
Impact #2	The software automatically analyzed thousands of factors, such as market demographics and store attributes, to identify characteristics associated with higher performance.
Impact #3	Specifically, the software revealed that in service centers located in areas with lower income, larger households, and more competitors nearby, the extended hours would drive a large enough profit increase to have a positive net profit impact.

Impact #1

APT software identified select locations in the network where the hour changes would have a positive impact.

Impact #2

The software automatically analyzed thousands of factors, such as market demographics and store attributes, to identify characteristics associated with higher performance.

Impact #3

Specifically, the software revealed that in service centers located in areas with lower income, larger households, and more competitors nearby, the extended hours would drive a large enough profit increase to have a positive net profit impact.

Benefit #1	8.4% ($210 per location) lift in Saturday gross profit throughout the test period.
Benefit #2	1.1% ($28 per store) decline in Sunday gross profit.
Benefit #3	$170 in additional labor/operating costs per store.

Benefit #1

8.4% ($210 per location) lift in Saturday gross profit throughout the test period.

Benefit #2

1.1% ($28 per store) decline in Sunday gross profit.

Benefit #3

$170 in additional labor/operating costs per store.

Download PDF Version

Overview

Operating Hours: What are the most profitable operating hours?

Operational Impact

Quantitative Benefit