The use case: how Macy's deploys H2O.ai
Macy's uses H2O-3 to build predictive models much faster, so it can find short-lived patterns and act on them quickly to increase sales and customer satisfaction.
In the customer’s words
With H2O we are able to build models quickly so we can find patterns that we can use right awayOther AI tools used by Macy's
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Explore Macy's’s AI stackOther companies using H2O.ai
Customers across industries, with public evidence.
See all H2O.ai customersGo straight to the source
Based on H2O.ai’s published case study. We check the public evidence; the results are reported by the vendor.
h2o.ai- Last checked
- Oct 29, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Macy's.
- The numbers in our summaryChecked
Each one is printed on the page.
- Macy's uses H2O.aiChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
If Macy's could take the model building process from weeks to days or even hours, they could find patterns that they could use this week or even for just a few days to increase sales or increase customer satisfaction.










