Success Stories

Maximized sales revenue using basket analysis for a quick-service restaurant

About the client

A quick service global café chain operating out of airports, malls, and retail stores in US.

Problems:

40% of the café transactions were single item tickets i.e., mainly coffee. A customer wanted to drive revenue by influencing the buyer behavior and increase the number of items bought per buyer.

Solution:

Innover helped the customer by applying machine learning-based solution on their point of sale data. Our market basket analysis enabled them to understand product affinities and purchase behavior to identify the right food combinations for the buyer. Based on the result, store reps were trained to ask buyers to purchase these combos at a special price proactively. This resulted in a successful marketing campaign with increased revenue for the customer.

Impact Delivered:

12%

Increase in single item to multiple item conversions

USD 67M

Increase in customer bottom-line

Partners

Adobe | Innover - AI & Machine learning
Arctic Wolf | Innover - Digital Transformation Solutions
AWS | Innover - Intelligent Automation Solutions
Blitzz | Innover - Digital Transformation
BlueLeap | Innover - Building Connected, Insight-Driven Businesses
Field Nation | Innover - Data Science
GAICHU | Innover - Data Analytics and AI
Google | Innover - Digital Transformation Service Provider
Microsoft | Innover - Digital Transformation Solutions
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SAP | Innover - Machine Learning Solutions
Snowflake | Innover - Robotic Process Automation Solutions
Thomson Reuters | Innover - Digital Transformation Services
UI Path | Innover - RPA Solutions
UPS | Innover - Digital Services Provider
Vertex | Innover - Digital Transformation Services
VSI | Innover - AI Solutions

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