"Like Google maps for warehouses"
"This directly improved our bottomline"
We provide you with the shortest route for order picking.
Run months or years of historical data through our solution to inspect potential gains. Directly giving you bottom line gains.
The Operational API processes picklists for each order, ensuring they are sequenced to ensure shortest walking or driving distance.
TruPath™ API visualization
Run historical data in our solution to discover potential gains for your warehouse.
No need for large upfront investments. A digital twin/3d model of your warehouse is swiftly generated by our solution.
Our solution will not disrupt your existing day to day operations. Your picking staff will need no additional training.
All we do is reorganize the picklist items in the background, ensuring the shortest route is used inside your warehosue.
Run months or years of historical data through our solution to evaluate potential gains before you take the step to use it operationally.
Our system will not interfere with your existing processes or solutions. Customers simply send and receive their pick lists using our API.
Indianapolis Warehouse Site - Historical Data Results
Easy to use optimization API and cutting-edge AI.
An API is used for sending in picklists for each order.
The incoming picklist are sequenced correctly to ensure the shortest path when beginning from the top.
The API will return the opimized picklist ready to be used by our picking staff. Note that there will be no changes in the way your picking staff operates its daily business.
Dedicated to logistics
We are a Norwegian / US based startup company focusing on optimization for the warehouse industry. Get in touch to test your historical data and our API to discover potential benefits.
At its core, this is a versatile, generic digital twin and optimization solution that is applicable to a multitude of disciplines. It is designed to deliver significant value across industries and problem areas with similar requirements. We are continuously seeking new problem spaces.