Workforce planning
The application allows you to forecast the level of activity in your warehouse and adjust resources to avoid overstaffing and understaffing while maintaining service quality.
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Workforce planning features
Discover all the features of our AI application.
Dashboard
Visualisation of activity history as well as flows and parcels per warehouse and per day.
Activity forecast
Estimation of the level of activity thanks to Machine Learning, taking into account historical data and external factors (weather, trends, promotions, etc.).
Adjustment of resources
Recommendation of the precise level of resource by type of item, based on the forecast activity for a given day.
Optimal planning
Optimisation of resources to ensure optimal service levels and working conditions.
Our application is compatible with
Our application is compatible with
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Benefits of Workforce Planning
Discover the different benefits of our application for users.
Avoiding overstaffing and understaffing
Rationalisation of logistics costs
Increasing the quality of service
Improving operational efficiency
Improving working conditions
Anticipation of activity peaks
An operational application in record time
We integrate our applications into your company in less than 7 weeks.
Week 1
01
Technical framing
The data available at the customer's premises is audited.
Week 3
02
Data Collection
The data connectors are created in compliance with RGPD constraints.
Week 4
03
Application integration
The application is integrated within your company and into your existing tools.
Week 7
04
Operation of the application
The application is ready to be used in production.
Week 7
05
Evolution and maintenance
The application benefits from all evolutions and permanent technical support.
Our case studies

CDiscount
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