A Modern Data Operating System
for Retail and CPG
Make your data usable with DataOS. Adapt your customer experiences, inventory, and operations in real-time with data-driven decisions.
Adapt your customer experiences, inventory, and operations in real time.
We are witnessing drastic changes in consumer buying behaviors and unprecedented supply chain disruptions. To win in this context, retailers must be able to adapt quickly by leveraging their digital channels and e-commerce to deliver a better customer experience and transform supply chains.
DataOS® enables retail and CPG organizations to access, manage, and share data seamlessly to positively impact every aspect of the business. It empowers businesses to focus on outcomes rather than data wrangling.
Real-Time Data
Create highly customized profiles based on data points generated throughout the entire lifetime of a customer, then use them to power personalized experiences and offers.
Customer 360
Integrate data from every customer touchpoint — from digital to brick and mortar — to deliver a consistent omnichannel brand experience.
Data Sharing
Enhance your demand forecasting, allocation, and replenishment capabilities when you can easily track and manage tens of thousands of SKUs across various channels.
Advanced Analytics
Leverage browsing patterns and purchase history to increase the relevancy of product recommendations.
Featured Blogs
Creative Ways Retail Business Intelligence Delivers Value to Customers
How Retail Can Build a Security-First Data Architecture
Transforming Retail Legacy Systems with a Data Operating System
You Don’t Have to Abandon Customer 360
Featured Resources
Take Your Retail Data Transformation Investments Farther
The Retail Reset Unlocking the Potential of Digital Transformation in Retail
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A Modern Data Strategy for Enterprises – 2nd Edition
R.I.P. Rip and Replace – Discover the Better Way to Modernizing Your Retail Data Architecture
3 Things Retailers Need to Consider in Data Transformation
The Latest Look in Retail – Powering Sales and Strategy with Advanced Analytics
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The Future of Retail: Key Challenges and Opportunities
Think Data Products. Think DataOS
Think Modern.