Python, LSTM

Our client is a major retailer of household and computer equipment.

The product developed by our team is an ML pipeline that incorporates neural networks and manages the optimization process. DNS utilizes the product to address its core tasks:

• Predicting parameters that determine the estimation of employee workload across branches.
• Calculating man-hours and creating monthly schedules.
• Optimizing employee schedules.
• Predicting parameters that influence pricing of goods by categories.
• Generating predictions for different time periods.