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Perform fine-grained forecasting at the store-item level in an efficient manner, leveraging the distributed computational power of the Databricks Lakehouse Platform.

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databricks-industry-solutions/fine-grained-demand-forecasting

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Fine-grained Demand Forecasting

https://www.databricks.com/solutions/accelerators/demand-forecasting

Generate more accurate forecasts in less time Perform fine-grained forecasting at scale with the Databricks Solution Accelerator for demand forecasting with causal factors. 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. Get started now.

Improve forecast accuracy Scale for millions of iterations Accelerate analytics to meet tight SLAs

To run this accelerator, clone this repo into a Databricks workspace. Attach the RUNME notebook to any cluster running a DBR 11.0 or later runtime, and execute the notebook via Run-All. A multi-step-job describing the accelerator pipeline will be created, and the link will be provided. Execute the multi-step-job to see how the pipeline runs.

The job configuration is written in the RUNME notebook in json format. The cost associated with running the accelerator is the user's responsibility.

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Perform fine-grained forecasting at the store-item level in an efficient manner, leveraging the distributed computational power of the Databricks Lakehouse Platform.

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