One of worlds’ largest privately held food corporation Active in feed and nutrition services for livestock and fish species, amongst other business units.
In order to remain its competitive position within the market, they were looking for a solution which would enable them to run fast financially driven supply scenarios to take long-, mid- and short term decisions around their distribution network set-up and identify the most optimal allocation flows towards their customers .
LOP.ai enabled this customer to quickly set-up a Virtual Twin of their E2E supply chain network.
Using the E2E Simulation capabilities of LOP ai, they were able to automatically run financial optimizations over the network, create a distribution plan & spot opportunities in their distribution flows
Next, they were able to frequently and quickly run what-if scenarios about the future design of their distribution network; such as opening/ sealing / closing some of the distribution centers. These scenarios were evaluated against key KPls such as EBITDA, transport costs, raw material purchase costs, etc. which enabled management to take strategie decisions.
Create a virtual twin
Get end-to-end visibility
Set smart parameters
Optimize end-to-end financials
Monitor the control tower
Financially optimised future asset network
Optimized distribution / allocation flows
Short term pockets of improvements identified
lncreased speed in decision making process