Bootstrap your large scale forecasting solution on Databricks with Many Models Forecasting (MMF) Project.
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Updated
Jul 17, 2024 - Python
Bootstrap your large scale forecasting solution on Databricks with Many Models Forecasting (MMF) Project.
Create advanced customer segments to drive better purchasing predictions based on behaviors. Using sales data, campaigns and promotions systems, this solution helps derive a number of features that capture the behavior of various households. Build useful customer clusters to target with different promos and offers.
Use personalized images to enhance the output of an image generating model
Semantic product search on Databricks
Translating text attributes (like name, address, phone number) into quantifiable numerical representations Training ML models to determine if these numerical labels form a match Scoring the confidence of each match
Get started with our Solution Accelerator to rapidly ingesting all data sources and types at scale, build highly scalable streaming data pipelines with Delta Live Tables to obtain a real-time view of operation, and leverage real-time insights to tackle your most pressing in-store information needs
Ingest sample retail data, build visualizations to explore past purchase behavior and use machine learning to predict the likelihood of future purchases
Products We Think You Might Like: Generating Personalized Recommendations Using Matrix Factorization
Create fine-grained and viable estimates of buffer stock for raw material, work-in-progress or finished goods inventory items that can be scaled across the supply chain. Free up working capital that would be tied up in inventory and reallocate to more productive uses.
How an RFM segmentation can be performed and operationalized to enable personalized workflows
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