Case Studies
07 February 2022
C H A L L E N G E
Utilizing an ERP software that was “not good enough” at forecasting:
- Unable to find patterns amongst similar products
- Cannot use economic or other data to improve accuracy (examples: stock prices, upcoming US holidays, seasonality)
- No capability to predict new products due to lack of historical data
The limitations with the supported forecasting tools within the ERP software lead to COVID supply and demand forecasting shocks, in which historical data became useless.
W I N
Through leveraging our solution technologies, the percentage of forecasting errors was reduced by 24.46%. This lead to a reduction in stock-outs and inventory costs
Have you experienced a similar issue? Contact us – we would love to speak with you!