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Crisp Retail Data Platform
oleh Crisp, Inc.
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Facilitates the integration, access, & exchange of data between CPGs, retailers, and distributors.
Crisp is the leading AI powered 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 retail analytics do all the heavy lifting, so CPGs can focus on uncovering insights to grow sales and streamline operations.
We help consumer brands and retailers turn complex commerce data into clear actions that drive sales, profit, and cash by using AI to deliver outcomes, not just insights.
Features of Crisp's platform include:
- Integrations with many retailer and distributor sources
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’s AI Agents leverage daily intelligence across every store and SKU, delivering answers in minutes and action in seconds.
Agents are:
-Built specifically for retailer and role specific verticals
-Powered by Crisp’s retail data foundation
-Designed to deliver value immediately, not after months of setup
Crisp also helps CPG brands maximize their investments with Microsoft by integrating retail data into the Microsoft Azure, Databricks and Fabric technology ecosystem.
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.
Sekilas
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