Crisp Announces AI Master Data to Unlock Retail Insights for CPG Brands Across Product Portfolios. Check out the press release here and more on our blog here.

Actionable insights for you and your team

Capture the full value of data across your retail portfolio with reporting that is powerful, fast, and flexible.

See it to believe it

In just a few clicks, you can find those “aha” moments to grow sales and keep products on shelf. Check out our interactive demo to see for yourself.

The data you need, when you need it

Crisp’s cloud-based platform efficiently loads, normalizes, and harmonizes the latest data across your retail partners. And with interactive, user-friendly dashboards, it’s easier than ever for teams to get the insights they need, fast.

Powerful tools to unlock critical insights

Crisp Retail Analytics includes pre-built dashboards for sales, supply chain, and category management. Easily perform holistic analysis across your retail portfolio or drill down to banner-, store- and item- level detail.

Flexible enough for you and your team

Data and reporting can easily be customized and enriched to meet your team’s needs and conventions. Have something else in mind? Crisp enables ad-hoc reporting in Excel and offers custom reports to meet your specific needs.

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Tools to level up your analytics

Get more from your data with features including:

  • Custom Attribution
  • Transparent metrics
  • Historical Backfill
  • Automated Refreshes
  • Drill Down
  • Consolidation and Harmonization

FAQs about retail analytics

  • What is retail analytics?

    Retail analytics is the practice of using sales, inventory, and supply chain data to improve product availability, pricing, and demand planning. It helps brands and retailers replace guesswork with data-backed decisions that reduce stock issues and increase profitability.

  • What types of data does a retail analytics platform track?

    Retail analytics platforms like Crisp track real-time point-of-sale (POS) data, including inventory levels, distribution, and supply chain movement at the retailer, store, and SKU level. Reports can be leveraged to resolve out-of-stocks (OOS), improve sales velocity, and evaluate product and category performance.

  • How does real-time data improve retail decision-making?

    Real-time data allows teams to identify and address issues as they occur. This includes stockouts, demand spikes, and distribution gaps. Teams can respond faster, replenish inventory sooner, and prevent lost sales by acting on the most current information.

  • Can retail analytics software integrate with multiple data sources?

    Crisp’s retail analytics platform integrates data from multiple retailer portals, distributors, and internal systems, creating a single standardized view of performance. The clean data integrates seamlessly with most data destinations, including Snowflake, Databricks, Google Cloud, Power BI, and more.

  • What is predictive retail analytics?

    Predictive retail analytics leverages statistical models to forecast demand and identify potential supply chain risks. Enabling teams to understand past performance and plan for future outcomes.

See how Crisp brings value to your data

Crisp automatically ingests and analyzes data from 40+ retailers and distributors, giving brands timely, actionable insights to keep shelves stocked and sales growing.

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