Amazon Seller Central Integration

Unlock data-driven insights across your CPG with automated ingestion, powerful data modeling, and user-friendly analytics.

Seamlessly integrate Amazon Seller Central data into your current systems

Crisp ensures a reliable, secure flow of the data you get from Amazon Seller Central into the tools and systems you rely on.

With Crisp, you can spend less time maintaining data pipelines and focus more on value-added analysis – and everyone from sales to operations and management gets the information they need, where they need it.

Choose from source or normalized data sets

Suppliers must already have access to Amazon Seller Central data in order to use Crisp. Available data from Amazon Seller Central typically includes:

  • Inventory
  • Amazon Fulfilled Shipments
  • Daily Sales
  • Inventory
  • Fulfillment Channel
  • Geography
  • Inventory Planning
  • Merchant Listings
  • Promotions
  • Service Level

Crisp provides detailed data model documentation that includes primary keys and reference tables. To view Crisp’s full data schema, contact our team.

Feed your current data workflows with timely source data

Get to insights faster with standardized data and clear dimensions

Data that your teams can trust

Crisp transforms raw retailer data into clean, organized data ready for database storage, modeling, and reporting. Now, analysts can focus on value-added analysis and business teams can trust the data they’re using.

Data structuring and schema modeling: Crisp organizes disparate retailer data sets, creating fact and dimension tables that can easily be joined using true primary keys and foreign keys. Crisp also meticulously documents how items and reports connect back to source data – making it easier to write queries, build reports, and work with new data sets.

Harmonization: Crisp creates common nomenclature across reports and data sources (e.g. “warehouse” vs “DC”) to simplify reporting and help you uncover insights across the business.

Cleansing: Crisp trims away extraneous characters that can bloat data sets and standardizes formatting for cleaner-looking data.

Augmentation: Crisp converts store location data into coordinates, enabling mapping visualizations and census data integration while ensuring consistency as naming conventions change.

Semantic modeling: Crisp translates raw retail data into the language of your business, serving as the foundation for everything from user-friendly analytics to AI/ML applications.

Portal changes? No problem.

Crisp handles portal changes with ease, quickly adapting to new versions while maintaining previous schema versions. You can decide when to make the switch, minimizing impact to downstream reporting.

Even when vendor portals go down, Crisp is still up – so you can rest easy that data is always available when you need it.

Interactive dashboards make data-driven decisions easy

  • Performance Insights: Get a topline view of business performance with detailed analysis by product and store segments
  • Inventory Flow Analysis: Track inventory health across products, distribution centers, and stores
  • Pricing Dynamics: Deep-dive into pricing strategies by product segment and geography
  • Launch Success Tracker: Evaluates event impact with pre- and post-launch analysis

Case Studies

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    J.M. Smucker Pet

    J.M. Smucker used Crisp’s SOLYS platform to transform Target’s pet aisle into a haven for pet parents. Using real-time insights to drive seasonal sales, they were able to elevate the shopping experience both in-store and online​.

  • PopSockets

    PopSockets uses Crisp’s real-time data integration to optimize inventory, improve retailer relationships, and drive product innovation.