Replaced spreadsheet reconciliation across millions of monthly shipments with near real-time, channel-level inventory visibility.
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In their words
What our customers say.
With OnePint, the statistical baseline that used to take roughly three weeks to assemble now runs in one day. That shifts our planner’s attention to the edge cases that actually need judgment.
Tyler ChristensenCOO, KURU FootwearBefore OnePint, our forecast lived in Excel, and building it consumed most of the month. By the time our demand planner finished, there was barely any runway left to actually use the forecast — no time to investigate emerging trends, no time to dig into a category that looked off. The process was manual, labor-intensive, and prone to error. The biggest pain point wasn’t the accuracy of the forecast. It was that producing it ate all the time we should have spent acting on it.
With OnePint, the statistical baseline that used to take roughly three weeks to assemble now runs in one day. That shifts our planner’s attention to the edge cases that actually need judgment, and it takes out a whole class of manual error.
Footwear makes this harder than most categories. We don’t buy a style — we buy a size run, and we commit to it months ahead against long offshore lead times. A style that sells through at 90% still leaves money on the table if the 9s and 10s are gone by week six and we’re sitting on 5s and 15s. Broken size runs are where margin quietly disappears. Getting the size-level distribution right at the moment of commitment is the problem we’re pointing OnePint at.
As the forecast feeds into NetSuite, we expect to generate purchase orders automatically and balance inventory across our fulfillment network — saving time and heading off the cross-shipments between facilities that have cost us money.
When planners and buyers aren’t spending weeks assembling numbers, they can go find out why the numbers look the way they do. I’d rather have our team analyzing a demand shift in week two than finishing a spreadsheet in week four. The time we get back turns into insight the rest of the business can use.
What stood out to us about OnePint’s platform was not just eCommerce enablement, but its AI-first approach, robust foundation, and focus on flexibility and performance.
Sree SreedhararajCTO, IPSYOur goal was to create a unified, intelligent view of inventory availability that could support the scale and complexity of our business. We needed a platform that could grow with us; highly customizable and the one that enables smarter decisions, not just solves short-term operational challenges.
What stood out to us about OnePint’s platform was not just eCommerce enablement, but its AI-first approach, robust foundation, and focus on flexibility and performance. At OnePint, we saw a partner ready to rethink inventory from the ground up and customize with minimal efforts to cater to the complex subscription ecosystem needs.