How much of your unknown loss is a function of system failures, master data errors, wrongly set up shippers, scanning errors, etc?

For one retailer, nearly every year they remove 20-30% of the shrink that is not shrink, leaving the stores with a smaller but truer shrink number. Removing these errors has removed any doubts the store manager may have had about the shrink number, increasing their confidence in the final shrink number and has strengthened accountability.

This meeting is not about proving the presence of upstream causes of loss, or indeed the scale of such forms of losses but more, it is about exploring how different loss prevention teams are investing in head count and systems to discover and then resolve upstream causes of loss.

To get the discussion started, we will hear from one retailer who has just doubled their investment in head count resources to remove the shrink that is not shrink.

In their presentation they will share how they are organised, the work they do, and the tools they are using to bring together multiple data sets, including the external stock count data, to identify these systematic errors, and then working with vendors and finance internally to manage the "losses" out of shrink and back into the correct parts of the P&L.

The group will then provide feedback and share their own approaches to finding the shrink that is not shrink. This meeting is for retailers, CPG's and academics only.