Embroidery Ordering System.

Getting a logo ready to embroider used to mean a manual back-and-forth: a customer would send over artwork, someone on the team would convert it into a format the embroidery machines could actually run, and the customer wouldn't see what the finished result looked like until it was already stitched. That loop ate staff time on every order and made small runs — the ones that don't justify much back-and-forth — hard to offer profitably.

A customer uploads a logo directly. The system converts the file to an EPS, then into the format the embroidery house needs to run it. Before anything is ordered, the customer sees a preview of what the finished design will actually look like stitched onto the hat they picked. The conversion and the back-and-forth that used to require a staff member are now something the customer does themselves, end to end.

The preview step is what makes the rest of the flow trustworthy enough to run without a person checking it. Converting a logo into an embroidery-ready file is a lossy process — detail gets simplified, colors get limited to what thread can actually reproduce, and small text can stop being legible once it's stitched. Showing the customer what that conversion actually produced, on the specific product they picked, before they commit to an order, is what lets the ordering step move from "staff reviews every file" to "customer approves their own file."

The system saves about 5 hours of staff time per minimum order — enough that small-quantity runs, which weren't worth the manual effort before, became affordable to offer at all. On mid-size orders (24-48 units), the project saw a 26% margin improvement.

Both figures are observed results from this specific project, not a guarantee of the same outcome for other businesses — the 5-hour figure is per minimum order, and the 26% margin improvement was measured specifically on the 24-48 unit order band, not across every order size.

This build sits at the more custom end of what we do. Most engagements start smaller — automating a repetitive handoff, or getting a process organized enough that it doesn't depend on one person remembering the steps. A build like this one comes later, once the smaller wins have shown what's worth investing in and the ordering flow itself is a big enough piece of the business to justify a dedicated system rather than a general-purpose tool.