Connect Dataiku into all current systems to utilize past transactions, demand forecasts, shipping costs, warehouse supply data, and lists of stores and warehouse nodes.
Quickly adjust settings with the Dataiku App to set inventory constraints and optimization parameters.
Easily customize workflow and project structure to suit specific goals and supply chain processes. Leverage the Dataiku Solution for Demand Forecast to power the Inventory Allocation Optimization Solution. Add the expertise of Grid Dynamics to deliver advanced AI projects across the entire organization.
Review diagnostics information and optimization insights in ready-made dashboards, then easily share results with supply chain teams.
Design the pipeline to continuously recalculate stock levels and refresh input data, rerun the optimization, and send the results to downstream teams.
The Dataiku Solution for Inventory Allocation Optimization helps answer a broad range of questions like:
Pick optimization parameters, compare baseline metrics, and get deep supply chain insights. Make the most out of current stock levels across locations, improve fulfillment speeds, and cut down order shipping costs.
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.