The Dataiku Solution for Delivery Dock Optimization allows you to get an overall and near real-time view of your warehouses’ activities and shipment statuses, reallocate docks by accounting for shipment delays and delivery specificities, and improve supply chain efficiency.
Easily ingest all tracking data from your trucks or your truck data provider to log arrival times and schedule changes, as well as warehouse data. Leverage the provided flow to develop a strong data baseline to understand past trends, model impact of changes in delivery time, and make decisions.
Get operational insights at different levels of granularity (by truck, dock, inventory levels, etc.) through a visual, user-friendly interface. Enter planning changes dynamically and factor changes.
Understand initial vs. proposed allocation across delivery docks. Ensure field decisions are powered by data for maximized reactivity to delivery time evolutions.
Easily generate near real-time alerts for all team members. Warehouse managers, supply chain analysts, and other operators receive the right alerts at the right time and can adjust their activities based on them.
Leverage the Dataiku Solution for Delivery Dock Optimization as is, adjust data inputs, and instantiate across supply chain facilities with fine-tuning of specific parameters through a business-friendly Dataiku Application.
Move to near real-time tracking and optimization by leveraging Shippeo for truck data arrival time. Seed data integration from your truck logistics providers and benefit from improved data freshness and forecasted ETA.
The Dataiku Solution for Delivery Dock Optimization helps answer a broad range of questions like:
Design a comprehensive view of planned schedules, analyze performance, run scenarios, and optimize dock slotting to adapt to potential delays. Integration with Shippeo allows fast optimization, paving the way for more resilient management of supply chain and logistics.
A composite organization in the commissioned study conducted by Forrester Consulting on behalf of Dataiku saw the following benefits:
reduction in time spent on data analysis, extraction, and preparation.
reduction in time spent on model lifecycle activities (training, deployment, and monitoring).
return on investment
net present value over three years.