Case Study: Restaurant Management Group optimizes labor and reduces costs with Messina Group’s AI and advanced analytics

Restaurant Management Group optimizes labor across 700 stores in 3 months with Messina Group

The Messina Group helped a restaurant management group, a large operator of over 700 locations, overcome its challenge of efficiently allocating labor and managing costs across its diverse portfolio of stores. The client needed a flexible, data-driven solution to optimize labor models for each store based on various parameters like concept, geography, and sales patterns.

Messina Group developed a solution using machine learning and AI on Microsoft Azure to analyze granular sales and labor data. This provided the client with crucial insights into store performance and generated informed staffing recommendations. The implementation significantly optimized the client's labor model and resulted in substantial savings on their labor spend.