3 Factors Driving Machine Learning Performance in Your Supply Chain [Video]
The demand for seamless supply chains is becoming increasingly important and – thankfully – possible when using artificial intelligence (AI) and machine learning (ML). Three key factors, which include forecast accuracy, robustness and the explicability of data, influence your supply chain performance. JDA’s Srini Muthusrinivasan, a VP of pre-sales for manufacturing and planning, explain how these collective factors can impact immediate and future forecasts alike. Based on historic data and insight gained on current conditions such as weather patterns and product considerations, AI and ML can create a more profitable supply chain. Discover more in the video below.
With a seamless supply chain, you can have better accuracy in forecasts, become more profitable and reduce waste. To help your business reach these goals in an increasingly competitive marketplace, explore more from JDA here.