Optimal Scheduling of Staff in Retail
Staff is one of the highest expenses in retail. Having too many people working in the store significantly increases expenditure. However, allocating your staff so that no understaffing occurs is critical. The key is to predict the amount of customers on a given day in advance for good staff allocation.
Machine Learning Models can predict the amount of customers in the future, based on the latest internal and external data. This way the amount of staff that has to work per day and time can be optimized accordingly.
Modulos AutoML is designed to enable domain experts to build machine learning solutions without any prior knowledge in ML, enabling business analysts to find the right Machine Learning Model for their data.