Ingest your time tracking data
Ingest time tracking data and ETA - from overnight batch to real-timeExplore !
The goal of this template solution is to show warehouse managers and production planners teams how Dataiku can be used to leverage tracking data of incoming trucks to manage their allocation to the warehouse’s docks and optimize yard management efficiency. More details on the specifics of the solution can be found in the knowledge base .This solution is only available on installed instances.
Imagine a large warehouse facility. Trucks are constantly arriving and leaving. Often they show up late or require a specific dock that is being used by someone else. Miscommunication might mean they show up at the wrong time… Managing slots in these facilities is not easy. There are just so many moving parts and constantly evolving factors. Throw in third-party carriers contracted by shippers for ad-hoc pick-ups, which gets more complicated.
Delivery dock optimization is, therefore, a vital touchpoint for warehouses, carriers, shippers, and suppliers. Across studies done between 2020 and 2021, truck drivers report a surge in average waiting time to access delivery docks, often exceeding the two-hour mark. This, in turn, leads to an increase in costs, and impact on goods quality – not to mention people retention issues as drivers are becoming an increasingly scarce resource. Acting upon dock delivery management becomes a critical source of competitive advantage for all companies dependent on fret management.
With this solution, warehouse managers and production planners can quickly integrate data from their truck providers to deliver a comprehensive and extensive view over the planned schedule, analyze performance, run scenarios, and optimize the slots of docks by reallocating slots to adapt to potential delays. Eased integration with Shippeo allows near-real time and more accelerated optimization, paving the way for more resilient management of supply chain & logistics.