Presented at INFOCUS 2023
Session ID: 103690
More accurate demand forecasts allow companies to optimize their inventory levels while maximizing customer satisfaction. Legacy JD Edwards demand forecasting is limited to data that resides within the customer's instance of JDE while relying on dated algorithms, resulting in suboptimal forecast accuracy. But now some options exist where JD Edwards' data can be combined with other sources (both internal and external to the business) and leveraged to train ML-based models to generate accurate forecasts which can then be orchestrated back into JDE. The resulting effect allows JDE to run a more efficient MRP process, ultimately increasing margins for the company.
Come learn more about the types of data that can easily be combined with your sales history and leveraged with advanced ML that can transform your business using a data-driven landscape.