OneWith
OneWithSwimwear · USA · 300+ SKUs · 65 A-class SKUs = 80% of revenue

Customer story

I've really been missing having that dashboard where I can just log on and see out of stock, healthy, dead stock. Turns out, it's pretty hard to find. You guys by far have the closest thing to it.

Hayley, Founder

OneWith
~50%A-class stockouts halved
65A-class SKUs covered
300+SKU catalogue
Oct 2025live date

About the brand

onewith is a DTC swimwear brand run out of Connecticut by founder-operator Hayley Cannon, who designs every piece herself. Appeared on Shark Tank in 2025. The catalogue has 300+ active SKUs; 65 A-class SKUs drive 80% of revenue. Stock ships from multiple suppliers across two continents on 30–90 day lead times.

OperatorHayley CannonFounder
Channels
Shopify

The challenge

Where OneWith was stuck

For years Hayley ran onewith on a simple inventory tool: log in, see what was out of stock, healthy or dead, make the call. Her FP&A team handled demand planning and forecasting. The tool only had to answer one question: what's happening right now.

Then the tool shut down.

She tried an ERP in the interim. It was the opposite of what she needed: complex, slow, and requiring more work to maintain than the manual process it was supposed to replace.

A sold-out size in February means a lost customer for the whole summer.

Turning point

Why the old setup ran out of runway

The replacement search landed right before peak season. Swimwear customers plan summer in January and February. A bestseller that stocks out in February doesn't come back in May. It's gone until next year.

Hayley needed a visibility layer she could trust through peak, without ripping out the forecasting work her FP&A team already owned.


What Rewize did

A visibility layer that fit the business

onewith went live on Rewize in October 2025, just in time for the peak planning window. We didn't replace the FP&A team's demand planning. We filled the visibility gap the old tool left behind.

  • Real-time dashboard across 300+ SKUs, refreshed continuously
  • Out-of-stock / healthy / dead classification at a glance
  • Multi-supplier, two-continent visibility with 30–90 day lead times
  • Left existing FP&A forecasting intact — surfaced the data it was missing
  • Log-in-and-decide workflow instead of spreadsheet wrangling

Results

The numbers that matter

A-class stockouts (the 65 SKUs that carry 80% of onewith's revenue) roughly halved through peak ramp. B-class SKUs are next as the system calibrates; the long C-class tail of seasonal variants and discontinued colourways sits dormant by design.

You guys by far have the closest thing to it.

Hayley, Founder — onewith

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