Data Engineering & Analytics
Strategic Management Consulting
Client is an automotive and industrial lubricants and auto care products company
Lacking a forecasting mechanism for demand, capacity and production planning.
Outdated manual processes and methods must be replaced with advanced models and customizable criteria.
Low order fulfillment rate and an inability to provide consistent delivery result in customer service failures and lost revenue.
High costs associated with inventory storage.
Using artificial intelligence (AI) and statistical models, provided a solution that intelligently produced accurate forecasts of demand, capacity and production planning
User-friendly dashboards to visualize important metrics
Continuous model improvement allowing for increased forecast accuracy over time
Model allows for reduction of inventory storage cost, increased demand-based sales and improved customer satisfaction/retention
Azure, Synapse, SAS Viya, Power BI
Accuracy in Monthly Forecast
Increase in Forecast Accuracy