Beyond Spreadsheets: AI-Powered Sales Forecasting with Infor EPM
Accurate sales forecasting is fundamental to effective planning, yet many organisations still rely on spreadsheets that struggle to keep pace with changing demand, promotions, seasonality and evolving market conditions.
Join us to explore how Artificial Intelligence (AI) within Infor EPM enhances sales forecasting by combining proven statistical forecasting techniques with Generative AI. The result is faster, more informed forecasting, with the reasoning behind each forecast visible to the planner.
In this session, we'll demonstrate how Generative AI can generate SKU-level sales forecasts. You'll see how model selection, forecasting methodology, prompt design and data configuration all contribute to producing accurate, reliable forecasts. We'll also show how quickly different forecasting scenarios can be created, giving planners greater flexibility while keeping them firmly in control of the forecasting process.
Throughout the session, the focus will be on AI augmenting the expertise of planners and business users, enabling better-informed decisions rather than replacing human judgement
Who should attend:
Executives seeking greater forecasting confidence and business agility, and planning, finance or technology professionals interested in the AI capabilities within Infor EPM.
What you'll learn:
- How statistical forecasting and Generative AI work together in Infor EPM, with live demonstrations
- How AI supports forecasting at a granular SKU level while accounting for promotions, seasonality and changing demand patterns
- The role of prompts, configurable parameters and AI model selection in producing reliable forecasting outcomes
- Best practices for validating forecasts and ensuring AI complements business expertise
- Implementation considerations for organisations exploring AI-enabled forecasting
Speaker
Peter Mayall
Infor Lead, Dyflex
Peter is the consulting manager for Infor EPM at Dyflex and has over 20 years’ experience in implementing Infor EPM. Peter has led the implementation solution architect, project manager role or as the lead consultant with 80+ clients. This has involved a wide range of industries such as financial services, insurance, oil and gas, farming, hospitality, not for profit sector, state and local government, education, property development, engineering and more.