Case Study: Global Logistics and Supply Chain improves restaurant labor planning with 10th Magnitude

Global Logistics and Supply Chain helps restaurant clients accurately predict sales activity

Global Logistics and Supply Chain, a leader in logistics for restaurant chains, needed a better way to help clients understand restaurant labor requirements. Over- or under-staffing was affecting both employee and customer satisfaction, so the company turned to 10th Magnitude for help, using a machine learning approach built on Apache Spark and Azure Databricks.

10th Magnitude developed a machine learning solution to model and predict customer sales activity in restaurants. As a result, Global Logistics and Supply Chain can help restaurant managers create more accurate labor schedules and better understand sales patterns, improving their ability to staff locations appropriately.