DataRobot and Palantir Technologies Inc. announced a new partnership designed to create unique, agile, and real-time solutions to help solve the most pressing demand forecasting problems. Demand forecasting models are often outdated, rigid, and poorly equipped to deal with change. The speed in which supply chains, consumer demand, and shipping logistics have changed over the past year has forced organizations to rethink their approach when it comes to demand forecasting for the future. To support retailers in managing this challenge, DataRobot and Palantir have partnered to create a custom, newly developed framework that will empower companies to take on a more nimble strategy to demand forecasting, eliminating the time and resources spent on manual data cleansing and one-off manual modeling. The framework combines the best of Palantir Foundry and DataRobot model development capabilities to give customers the ability to create and test data-driven, easily updated forecasting models in minutes, not months, from a single platform. With a holistic view of the retail ecosystem, brands will be able to avoid previous blind spots, and make better and more impactful business decisions. To create and execute these models, the solution leverages Palantir Foundry’s Software Defined Data Integration to integrate multiple massive scale existing data sets, rapidly creating a high-quality data asset. This integrated data asset is then fed into DataRobot’s Augmented Intelligence technology, which trains and produces hundreds of forecasting models in the time it would take a data scientist to produce one. DataRobot’s unique ability to develop Time Series models and combine multiple data types into model development dramatically enhances the ability to forecast demand. The best models are then brought back into Foundry and infused into operational workflows, delivering massive scale data and AI to business users. The models are constantly updated and trained by DataRobot to keep them relevant and fed back into the organization’s integrated data asset. Future modeling becomes even faster, allowing each subsequent project to take advantage of Foundry’s data assets and previous modeling outcomes.