The post 2020 world has been marked by extreme volatility in all spheres of business and life. In such times, scientific predictions of demand have become a must-have capability for organizations.
A lot of noise has been generated in data through disruptions driven by community lockdowns, characterized by different conditions and durations. This has made it more complicated to predict demand and plan resources across the supply chain.
A single model is no longer sufficient to predict sales for a given product. We need a more sophisticated approach to forecast sales across different time-intervals.
Decision Point is leveraging state-of-the-art A.I to develop ensemble models that leverage the right models to forecast sales across different time periods – the upcoming week, month, quarter and years.
And a forecasting process is not just purely about the numbers. It is imperative that the forecasting outputs are well integrated with the business processes to enable agile scenario planning, perform gap analysis and drive the most optimal business interventions.