CDiscount

All client cases

Contents

Issue

The logistical activity of the warehouse is very variable from one day to the next and difficult to anticipate, which leads to a loss of efficiency.

35 %

days are over/under-staffed

Solution

Artificial intelligence forecasts the activity and logistics flows for the coming weeks and recommends the optimal number of staff to meet the needs.

150

optimised schedules / year

Result

Reduction of logistical costs, increase of the general efficiency of the team, improvement of working conditions.

+10 %

overall team effectiveness

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