The Story Behind Winding River Software

[Placeholder for origin story - 2-3 paragraphs about how Winding River Software started, the founder's journey, and what led to building this company.]

The best software comes from understanding a problem deeply before writing a single line of code. That's why we started by spending time in the shops, watching how inventory moves, seeing where the friction lives.

What we found was a gap: powerful AI tools existed, but nobody was building them for the specialty retailer who needed nuance, not just speed. The consignment shop owner who knows the difference between a Taisho-era obi and a Showa reproduction. The antique dealer who can date a piece by its joinery.

Our Philosophy

Relationships first. We don't offer self-serve software because inventory classification isn't a one-size-fits-all problem. Your business has unique needs, unique inventory, unique workflows.

Understanding before building. Every engagement starts with listening. We want to know your business, your challenges, your goals before we talk about technology. The best solutions emerge from genuine understanding.

Expertise matters. We specialize in specialty retail—the consignment stores, vintage shops, antique dealers, and textile collectors who deal in items that resist simple categorization. That focus lets us build tools that actually work for the complexity you face.

Human + AI. We believe the best results come from combining AI capabilities with human expertise. The technology handles the heavy lifting; you maintain control and add the judgment that only comes from experience.

Meet Craig

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[Placeholder for founder bio - Professional background, technical credibility (Python, AI/ML, integrations), and personal touch about what drives him.]

With a background in software development and a deep interest in how AI can augment human expertise rather than replace it, Craig founded Winding River Software to bring thoughtful technology solutions to specialty retailers.

When not working with clients, you'll find him [personal interests placeholder].

Want to learn more?

I'd love to hear about your business and explore whether we might be a good fit.