North American hair salon franchise

CASE STUDY

Helping a leading hair salon franchise more accurately predict wait times to grow their business.

A franchiser/operator’s CIO and new CEO are committed to digitally transforming the company, increasing customer satisfaction, and building business. The chain includes 1,800 salons spread across the United States and Canada, with some company owned and others owned by 400+ franchisees. Each location produces very valuable, high-volume data. Ironside is working to leverage machine learning (ML) / artificial intelligence (AI) to drastically improve the company’s ability to effectively collect, organize, analyze, and act on that data across locations, without burdening franchisees possessing differing levels of technical know-how.

BUSINESS NEED

To improve customer convenience and operations.

INDUSTRY

Personal Care Services

CLIENT

North American hair salon franchise

IRONSIDE’S SOLUTION

Built three machine learning models involving over 35 data points into a real-time, cloud-based application that delivers to customer a hyper-accurate prediction of how long their wait for a haircut will be. Results are delivered in under a half second, servicing over 1 billion API calls per year.

SUCCESSFUL OUTCOME

Providing accurate wait times to customers has led fewer customers to walk out and customer and revenue to increase.

The new AI platform also provides valuable data and insights to company executives, allowing them to improve operational effectiveness across 1,800+ locations.

How we delivered

USE CASE DISCOVERY

Identified 13 use cases for key criteria:

RAPID VIABILITY ASSESSMENT

Identified 4 use cases for further assessment

MACHINE LEARNING

Trained ML models

AI IMPLEMENTATION

Deployed 2 models into cloud native real-time app

PERFORMANCE MONITORING

Let’s talk about your data and all that it could be doing for your business.

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