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Submitted URL: https://databricks.com/solutions/accelerators/demand-forecasting
Effective URL: https://www.databricks.com/solutions/accelerators/demand-forecasting
Submission: On November 08 via api from US — Scanned from DE
Effective URL: https://www.databricks.com/solutions/accelerators/demand-forecasting
Submission: On November 08 via api from US — Scanned from DE
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Skip to content Menu Menu * Platform * -Platform column- * The Databricks Lakehouse Platform * Delta Lake * Data Engineering * Data Warehousing * Data Governance * Machine Learning * Data Science * Data Sharing * Pricing * Open Source Tech * Security and Trust Center * Discover how to build and manage all your data, analytics and AI use cases with the Databricks Lakehouse Platform Read now * Solutions * -Solutions column- * Solutions by Industry * Financial Services * Healthcare and Life Sciences * Manufacturing * Communications, Media & Entertainment * Public Sector * Retail * See all Industries * -Solutions column2- * Solutions by Use Case * Solution Accelerators * Notebook Gallery * Professional Services * Digital Native Businesses * New survey of biopharma executives reveals real-world success with real-world evidence. 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According to McKinsey, a 10% to 20% improvement in supply chain forecasting accuracy is likely to produce a 5% reduction in inventory costs and a 2% to 3% increase in revenues. In a world where margins are increasingly narrow and critical, this percentage can be make or break. But traditional supply chain forecasting tools have failed to deliver the desired results, limiting success of retailers and manufacturers. GENERATE FINE-GRAINED FORECASTS AT THE RETAIL STORE LEVEL IN LESS TIME Perform fine-grained forecasting at the store-item level in an efficient manner, leveraging the distributed computational power of the Databricks Lakehouse Platform. This accelerator helps retailers overcome the technical limitations of legacy data analytics solutions that undermine forecasting accuracy. Instead, perform full forecasts on atomic-level data within tight service windows to do things like: * Construct a forecast for each store-item combination * Project demand for each product across stores * As new sales data arrives, efficiently generate new forecasts and append existing forecasts Download notebook FORECAST DEMAND AT THE PART LEVEL FOR STREAMLINED MANUFACTURING Perform demand forecasting at the part level rather than the aggregate level to minimize disruptions in your supply chain and increase sales. Leverage this accelerator to: * Build fine-grained demand forecasting that can be scalably performed on a more frequent basis * Manage material shortages and predict overplanning Download notebook RESOURCES ALL THE RESOURCES YOU NEED. ALL IN ONE PLACE. Explore the resource library to learn how to forecast demand at scale. 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