This repository contains a collection of notebooks that demonstrate how to use the Crisp Data Platform to build analytics solutions.
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Stay ahead of disruptions: Identify irregularities in sales data and respond proactively to changes. |
Reveal where your product mix is underperforming to fine-tune assortments by store and grow sales. |
Get ahead of demand shifts with retail-specific forecasts that reduce stockouts and overstock. |
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Reallocate sales from closed or underperforming stores to nearby locations to preserve revenue and optimize inventory placement. |
Identify high-potential stores with unmet demand to expand product reach and accelerate growth. |
See how weather disrupts sales and inventory so you can adjust plans and stay in stock. |
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Keep shelves stocked and customers happy: Monitor on-shelf availability to detect issues like phantom inventory and zero sales, ensuring optimal stock levels and reduced lost revenue. |
Understand how price changes affect demand to fine-tune pricing strategies, maximize revenue, and protect margins. |
Visualize trends, act faster: Group stores by location, customer demographics, and behavior to uncover hidden sales patterns. |
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Plan smarter, sell better: Analyze weather patterns' effects on sales to improve inventory and demand forecasting. |
To deploy a notebook in Colab, click on the badges in particular notebooks.
To deploy a notebook in Databricks:
- Open your workspace and navigate to the folder where you want to import the notebook.
- Click the triple-dot icon (next to the Share button).
- Select Import and choose URL as the import method.
- Paste the notebook's URL and click Import to complete the process.