Demand Forecasting for

an Australian Office Wholesaler

Sep 2019, Sydney

Eamonn Barrett

Improved business processes by offering an average of 20% improvement in forecast across the range. 

Challenge

Powerful customers, antiquated forecasting

and replenishment systems, and inefficient working capital

Solution

The client was in a state of flux, acquiring new businesses, and trying to keep all customers happy in the process. 

One of the first cabs off the rank as part of their new technology strategy was to implement the latest in artificial intelligence demand forecasting methods to begin to align their inventory operation with the market leaders.

Remi AI was engaged to help the client in this endeavour, and began by connecting the client to the Remi AI demand forecasting suite. 

The operational side of the Remi team also helped the client change their forecast schedule from monthly down to a weekly cycle which leaves the door open for regular replenishment optimisation decisions to be made as the client executes their technology transformation.

Results

The results of this project were delivered via the forecasting module in the Remi AI platform which can be connected directly to the client’s ERP to facilitate batch ordering and safety stock calculations. 

 

The operational and technological changes implemented for this client have provided an average increase in forecasting accuracy of 20%, driven more efficient inventory management and business planning, and allowed the client to test the world of A.I in their business operations.