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.

Test for free

Workforce Planning Demonstrator with our AI application
CDiscount
Ciblex
CDiscount
Ciblex

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.

touch

Optimal planning

Optimisation of resources to ensure optimal service levels and working conditions.

Our application is compatible with

Microsoft 365
EPICOR

Our application is compatible with

Microsoft 365
EPICOR

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