AI-powered Optimal Forecasts for all Seasons

Demand Planners have one of the toughest and thankless jobs. They are expected to deliver precise and accurate estimates of future demand every month in face of highly volatile and seemingly unknowable demand across thousands of Product/Location level planning combinations. What makes their job even more complex is inflexible and primitive planning solutions from the pre-AI era, which are only marginally better than Microsoft Excel. Demand Planners are unfairly judged either way: either because they went conservative resulting in stockouts and lost sales or because they went aggressive resulting in excess inventory. They just can’t thread the needle every month across thousands of combinations, but that’s the expectation from them.

Demand Planners need a Digital Planning Twin: an AI engine that can evaluate demand patterns at a granular Product/Location level relevant for Supply Chain decision-making (what inventory where when), learn from both historical data as well as forward-looking demand drivers to produce an Optimal Forecast which both senses and optimally shapes Demand.