Halo

Multi-Variate Demand Signal Management (MDSM) takes a more proactive approach than basing inventory and replenishment on shipment data – it gives better access to downstream data, analysis and insights to make decisions ahead of the demand curve. More than forecasting trends and seasonality, it is about identifying and measuring market signals, then using those signals to shape future demand. In this session you will learn how to integrate all relevant demand signals into a single source of truth and perform predictive and visual analytics that improve forecast quality and uncover insights to make decisions ahead of the demand curve.

Evaluating the impact of promotional activities is a challenging task. A significant portion of demand planning is driven by promotion factors which cannot be accurately forecasted using a traditional statistical model. In this session you will learn how to apply Artificial Intelligence (AI) to predict demand levels and create multiple scenarios for various combinations of promotional factors including price discounts, advertising impact, seasonality, and any other factor that may affect demand.