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Managed retail data and analytics platform unifying retail brand data into a single trusted warehouse.
42 Technologies consolidates retail data from multiple sources into one data warehouse with a retail semantic layer, enabling consistent metrics and AI-ready analytics for retail brands. It supports ecommerce, POS, ERP, marketplaces, and marketing data integration.
Updated Oct 23, 2026
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42 is a managed retail data and analytics platform built for brands. 42 unifies data sources into one data warehouse, so your team and your AI work from numbers you trust.
Store Point of Sale Assess the retail business and performance, regardless of your POS system. NewStore Learn more Heartland Retail Learn more Shopify POS Learn more KWI Learn more Teamwork Learn more
Your definitions of sell-through, markdown and attribution live in one place, so every team works with the same context.
Workflows, skills, and agents, can be built on these definitions, so that teams do not have to rebuild the business logic each time.
Generic models have to guess at retail definitions. 42 has a semantic layer which means you get answers regarding your own channels, hierarchies, and history.
We’ve reimagined what’s possible when it comes to retail reporting so it feels like magic. 42 empowers merchandisers to access real-time insights, in one place. Zoom out, drill down, and group SKUs to get a better view of your business.
Want to see which items have the best sell through this week? No problem. 42 is designed for retail, so we generate reports with images, analyzing the data any way you want.
With our user-friendly reporting, it's easy for anyone to get the data they need.
Whether you want to compare full price vs. mark-down inventory or see your same-store growth rate for the month, it's easy to get trustworthy answers — fast.
See — and share — an overview of your business in seconds. 42 makes it easy to track sales performance over time. Plus, use our NRF calendar filter to make accurate comparisons for any time period.
Custom
on request
Custom
on request
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