World-wide leader in manufacturing & distribution on health, beauty & home products, via a direct selling with a multi-level marketing strategy.
They are facing enourmous pressure on their warehouse operations, in terms of both asset utilization and workforce capcity. This is caused by a high volatility and unpredictability in orders placed by their customers, which have to be delivered within a limited number of days.
Especially unexpected high peaks in demand are causing high stress on the warehouse and potentially a decreased service level.
By leveraging internal and external data, combined with LOP’s machine learning models, they have built a prediction model for their short term orders & installed an alert system which predicts upcoming peak days.
In this way they have a better visibility on what’s potentially coming, and anticipation actions can be taken. Moreover, they are gathering more and more information on what the ultimate drivers of orders are, and better
Create a virtual twin
Get end-to-end visibility
Set smart parameters
Optimize end-to-end financials
Monitor the control tower
Visibility on predicted peak days
Anticipation possibilities for operations
Identification of influencing factors