How much would AI/ML improve your demand planning accuracy?

Learn how your planning – and your bottom line – gets better with artificial intelligence

You know that demand planning has never been more difficult. Changing consumer behavior, shorter product lifecycles, and increasingly frequent supply chain disruptions make demand planning more difficult and demand planners increasingly anxious.

But help is on the way. In recent years, artificial intelligence (AI) and machine learning (ML) have shown great promise improving your forecasts. Research from the McKinsey Global Institute found that AI can improve forecast accuracy by 10 to 20 percent, resulting in up to a 5 percent reduction in inventory, and revenue increases of 2 to 3 percent.

Our white paper explains AI/ML in the context of demand planning, and why this technology could be the help you need to win the demand planning game.

Key Benefits:

•  Discover why the time is right to implement AI/ML in your demand planning efforts.
• Learn how easy it is to use Anaplan’s PlanIQ with Amazon Forecast, and how ease of use makes it a tool for your entire planning team
• Understand the specific benefits of AI/ML-driven planning in your industry segment
• See how one company used AI/ML to shorten planning cycles, account for seasonality, and reduce inventory carrying costs
• Learn how easily you can deploy AI/ML with Anaplan Demand Planning