How HobbsPeak Turned a Custom Headwear Brand Into a Live-Catalog E-Commerce Operation

HobbsPeak (operating as HobbsHats) is a family-owned West Georgia custom headwear and apparel brand serving construction crews, electricians, landscapers, churches, schools, and growing companies across the Southeast. The team needed to move from manual quoting and order tracking to a true e-commerce operation with live wholesale catalog pricing, digital proofs, and bulk-order workflows — without giving up the personal-service model that defines the brand.

Custom headwear is unusually complex to sell online. Inventory is essentially infinite (every S&S Activewear blank, in every color and size), but pricing is wholesale-tier and changes constantly. Each order needs a digital proof, decoration method selection (leather patch, embroidery, screen print), and artwork on file. Repeat customers expect a portal — not a fresh quote form every time. The owner needed an admin console covering products, pricing, orders, customers, messages, build sheets, and live builds. A standard Shopify build could not handle the live wholesale catalog sync or the artwork-digitizing pipeline.

QuantLab built HobbsPeak.com as a headless commerce platform on Next.js 16 + React 19, with Stripe checkout, Vercel Blob for artwork storage, Neon Postgres for transactional data, and a full server-side catalog pipeline pulling live pricing and inventory from the S&S Activewear API. Email and order events flow through Resend; shipping rates and labels run through EasyPost. We built a proprietary digitizer subsystem combining @imgly/background-removal, tesseract.js OCR, potrace raster-to-vector tracing, opentype.js font handling, and a benchmark suite (bench:digitizer) to validate output quality. AI-assisted preview is exposed under /api/digitize-ai-preview for instant customer-facing proofs.

Quote turnaround dropped from days to under 48 hours, with most digital proofs returned same-day. The customer artwork-on-file portal turned repeat orders into two-click events, and the owner's workload shifted from manual quoting to reviewing AI-generated digitized previews. One platform now replaces separate tools for catalog, quotes, orders, customer comms, and affiliate tracking — e-commerce and quote-driven revenue grow through the same operations stack.