Retail & CPG Turn fragmented retail data into AI-driven growth
DataOS unifies it into consumption-ready data products, moving you from reactive reporting to proactive, AI-driven revenue growth, without ripping out the systems you already run on.
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Proven impact with DataOS
Retail and CPG organizations that use DataOS see measurable gains in revenue, speed, and cost efficiency.
Why retail data breaks down
Most retail and CPG organizations don't lack data. They lack a way to activate it. Customer, sales, and inventory data live in separate systems, and by the time anyone reconciles them, the moment to act has passed.
When retail and CPG data stays fragmented:
How DataOS solves it
One governed data layer. Every team and every model works from the same foundation.
Who this solution is for
DataOS for Retail & CPG is designed for organizations managing complex product, customer, and channel data at scale.
Consumer packaged goods brands
Beverage, spirits, and CPG manufacturers managing distributor relationships, account targeting, and reorder cycles.
Multi-store and fashion retailers
Retailers unifying sales, inventory, and customer data across thousands of store locations.
Beverage and spirits distributors
Distributors managing complex account territories, hunting and farming targets, and reorder cycles.
Digital commerce and e-commerce platforms
Platforms scaling personalization, clickstream analysis, and cost governance across millions of users.
SUCCESS STORY
How Lobos 1707 turned fragmented data into a growth engine with DataOS
“With DataOS, we shifted from reactive sales to proactive, AI-driven revenue generation, and cut our time-to-market on data use cases in the process.”
— Carlos Vigil, President, Lobos 1707 Tequila
51% faster cycles via predictive reorder alerts
19% revenue lift through ML optimization
8 weeks to deploy AI-powered data products
What retail data activation looks like with DataOS
Traditional retail data
- Customer and sales data scattered across systems
- Reorders and churn detected too late to act on
- Reporting takes days; insights arrive stale
- Dashboards slow down or crash under real load
- Data engineering rebuilt for every new use case
Retail with DataOS
- Unified customer, sales, and inventory data model
- ML-embedded churn and reorder prediction
- Real-time reporting with instant BI load times
- Governed data products scale to any team
- New data applications built in under 2 days
Ingest ERP, POS, CRM, e-commerce, loyalty, and distributor data into one governed commerce data model.
Consumption-ready data products embed ML models for customer segmentation, churn prediction, and demand forecasting.
Continuous monitoring compares plans against actuals so stockouts and overstock surface before they compound.
Automated 'buy again' alerts and at-risk account flags turn reactive sales into proactive outreach.
A shared semantic layer powers Power BI, dashboards, and AI agents without duplicating logic or metrics.
Built for retail and CPG at scale
Frequently Asked
Questions
DataOS is an AI-native data platform that unifies ERP, POS, CRM, e-commerce, loyalty, and distributor data into governed, consumption-ready data products with embedded machine learning for segmentation, churn prediction, demand forecasting, and reorder intelligence.
No. DataOS integrates with your existing systems. Your ERP stays, your CRM stays, and tools like Power BI keep working; DataOS supplies the governed data layer underneath them.
Pre-built, consumption-ready data products with embedded ML can accelerate time-to-insight by up to 90% compared with traditional data engineering projects. One CPG brand deployed segmentation, churn, and reorder models in 8 weeks.
Yes. DataOS has been deployed by beverage and spirits manufacturers, multi-store fashion retailers, distributors, and digital commerce platforms, each using the same underlying data product architecture.
Embedded ML models continuously analyze purchase patterns to trigger automated 'buy again' alerts and flag at-risk accounts before revenue is lost, replacing manual account review.
Yes. DataOS has scaled Power BI deployments to 150+ concurrent users and 1M+ rows with zero crashes, and supports headless BI so insights aren't locked into a single dashboard tool.
Yes. DataOS is used by Fortune 1000 enterprises and has been deployed across platforms serving 30M+ users, retailers operating 3,700+ stores, and multi-brand CPG portfolios.