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Powerfully Simple Demand Forecasting

Surrounded by an explosion of valuable data, most forecasting systems have no way to take advantage of it.

Businesses complexity is growing, driven by multi-channel marketing, the growing influence of demand shaping (media, promotions, NPI), and the impact of the internet on buying behavior - to name just a few factors. To manage and ultimately profit from this complexity, marketing and sales departments are investing in modern data infrastructures to unlock valuable clues to customer sentiment and behavior.

Unfortunately most companies’ supply chain systems and processes haven’t begun to catch up. Most are still using forecasting approaches based on cumbersome algorithms and time series of aggregated sales history. This inability to integrate, analyze and take advantage of increasingly available data is causing forecast accuracy to get worse when it could be getting better.

The good news is that most companies already have the data they need to achieve big improvements in forecast accuracy. Those wanting to move to the ‘next generation’ of forecasting to achieve greater demand and supply reliability have readily available data and powerful tools at their disposal.

Read Case Study Pharmaceutical
Read Case Study Pharmaceutical
Read Brief SCP Brief Data, Data, Everywhere….But Most Manufacturers aren’t Using it to Improve Forecasting