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Crisp Retail Data Platform

Crisp, Inc.

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Crisp Retail Data Platform

Crisp, Inc.

Facilitates the integration, access, & exchange of data between CPGs, retailers, and distributors.

Crisp is the leading retail data collaboration platform that aggregates, normalizes, and analyzes data across valuable retailer and distributor partners.

To leverage retail data for everyday decision-making, today’s CPGs are faced with a difficult task: aggregating data from multiple sources, ensuring that it’s clean, trustworthy, and usable; and enabling teams to leverage data in daily decision-making. Crisp’s scalable data platform and best-in-class analytics suite do all the heavy lifting, so CPGs can focus on uncovering insights to grow sales and streamline operations.

Crisp equips consumer goods teams across sales, marketing, supply chain, and category management with actionable, daily insights. Crisp Retail Analytics is refreshed each day with the latest clean, usable data from all of your retailer partners.

Features of Crisp's platform include:

  • Automated data ingestion from many retailer and distributor sources
  • Normalized and harmonized data sets reduce manual data work and ensure a complete, clean, and analytics-ready dataset.
  • Easy-to-use, interactive dashboards that drill down to store- and item- level detail
  • Semantic model designed specifically for the retail industry, along with a Data Dictionary to provide transparent dimensions and metrics
  • Demand and inventory forecasting; order management and automation
  • AI Blueprints - pre-built templates for data scientists to build faster insights including anomaly detection, store clustering and weather trends data
  • Pre-configured data destinations allow data to be shared with your datalake/data warehouse in minutes
  • AI Agent Studio - agent library honed for retail - allows non-technical user to query data using natural language.
  • AI MDM/Master Data Management solutions allow category managers and other stakeholders to build different views of multiple data sources on the fly handling product attribution with ease.
  • Retailer & Distributor data sharing program support - offering full scale infrastructure to manage thousands of clients & partners


    • Crisp Retail Analytics is also available to enable suppliers to take advantage of the full breadth and depth of the their retail data in user-friendly dashboards. Available dashboards include sales, supply chain, category and marketing use cases.

    Crisp also helps CPG brands maximize their investments with Microsoft by integrating retail data into the Microsoft Azure, Databricks and Fabric technology ecosystem.

    By delivering data into customer-owned workspaces, Crisp encourages CPGs to use the tools, products, and services that are readily accessible and familiar to them to dive deeper into retail data and unlock meaningful insights. Crisp provides multiple pathways for customers to connect to retail data sources within their Fabric environment, from data lakehouses like OneLake, to warehouses like Azure Synapse, to reporting tools like Power BI. With Crisp, data science teams can leverage Databricks and Azure AI to train models for sales, supply chain, and merchandising, while analysts and end-users can get to insights quickly by building upon out-of-the-box Semantic Models for Power BI Premium.
    Learn more
    Crisp for Enterprises Case Study: ZURU Group Microsoft Integration Flow Web Page: Microsoft Integrations
    https://store-images.s-microsoft.com/image/apps.16080.905c0115-2ccf-433d-b2b6-4998c164d6f4.11427e44-04dd-4261-ae02-4b28ffd4088c.c325dac2-ce1d-4c52-83e3-557643c46d32
    https://store-images.s-microsoft.com/image/apps.16080.905c0115-2ccf-433d-b2b6-4998c164d6f4.11427e44-04dd-4261-ae02-4b28ffd4088c.c325dac2-ce1d-4c52-83e3-557643c46d32
    https://store-images.s-microsoft.com/image/apps.55573.905c0115-2ccf-433d-b2b6-4998c164d6f4.11427e44-04dd-4261-ae02-4b28ffd4088c.39516817-7978-4157-9141-1d09ba838114
    https://store-images.s-microsoft.com/image/apps.57649.905c0115-2ccf-433d-b2b6-4998c164d6f4.11427e44-04dd-4261-ae02-4b28ffd4088c.fc5659eb-310a-4512-b61b-6017628facfd