Utilitarian

Utilitarian

When circularity meets agility

How we helped Utilitarian build a scalable AI-powered platform for in-store product returns, from rapid prototype to live deployment across multiple retail stores.

The Challenge

For retailers, circularity is no longer optional: products must be taken back, reuse must be proven, and results must be reported. New regulations increase the pressure to make this practical. Utilitarian therefore made the pivot from a broad sustainability app to a focused solution for in-store returns, and looked for a local partner to quickly build a first version.

Our Solution

In a single day, we built a first working version of the app: a tool that recognizes shoe brands as they're returned in-store, using AI image recognition. This early version could be put straight to work to convince retailers and end users. We pulled it off by making sharp choices: not training our own AI model, and not over-investing in architecture up front.

The Outcome

The collaboration kept growing, with several follow-up sessions dedicated to scalability, analytics and design. The solution now runs in multiple stores, including INTERSPORT and Runnersworld, where data and customer engagement are made directly visible.

From mission to momentum

By the time we met Tim Lee, founder of Utilitarian, he had already made quite a journey, both literally and figuratively. Originally from Australia, he was building a European venture with a clear ambition: to make the circular economy work for retail brands, right down to the shop floor.

Where most take-back schemes stop at an anonymous drop-off bin, Utilitarian wanted more: customer interaction, actionable data, and a tangible contribution to sustainability goals. Think of customers returning shoes or electronics in-store, having them recognized by AI, receiving a reward, and enabling brands to prove what actually happens with the returned items.

The timing was perfect. European regulation such as EPR, CSRD, and the Digital Product Passport (DPP) is putting increasing pressure on brands to recycle and report. Utilitarian already had strong partners (including FastFeetGrinded), a clear vision, and was ready to build. The only question was: what was technically feasible, and how fast?

The power of a pivot

No startup follows a straight line. Utilitarian had once started with a broad sustainability app but learned that focus is crucial. So they made the pivot to a clear and urgent problem: making in-store product returns measurable and scalable.

Making such a choice takes courage. You have to let go of assumptions, sharpen your focus, and show your plan before it’s perfect. That’s where we came in. At 010 Coding Collective, we work in fast, collaborative loops - starting with a working concept and improving it through direct feedback and use.

On-location research at Runnersworld

From prototype to platform

Together with Tim, we moved from idea to working prototype in a single day and used that first version as a starting point for real-world learning. That first version was the beginning of an iterative process: each session brought new insights, sharper priorities, and a stronger product.

During the first session, we walked with Tim to a nearby Runnersworld store to observe how returns worked on the ground.

“Building technology without understanding how it’s actually used? That’s not how we work.”

As pilots followed in INTERSPORT and Runnersworld, we focused on what was needed next: secure data processing, automated email flows to reward customers, support for multiple brands, and integration into Utilitarian’s AWS infrastructure. We also made sure the platform could be deployed as a white-label solution so each store could maintain its own look & feel without duplicating effort.

The result is a platform that grew through real conversations, real usage, and real decisions, built to run in stores, adapt to change, and keep evolving.

Utilitarian platform in action

Super agile. But also robust.

We’re often asked to deliver that very first version, because someone has an investor demo at the end of the week, or needs something usable for spontaneous customer conversations. And we love doing that. But just as important is what comes next.

With Utilitarian, each version brought sharper focus and stronger foundations. It was about learning quickly, adapting confidently, and building a platform that could grow in real-world conditions. That’s what agility means to us: speed, with staying power.

Key outcomes

  • Fast validation: From concept to working prototype in a single day
  • Iterative growth: Platform evolved through continuous feedback and real-world use
  • Scalable infrastructure: White-label solution integrated with AWS, supporting multiple retail brands
  • Live in stores: Active pilots in INTERSPORT and Runnersworld locations
  • Customer engagement: Automated email flows and analytics driving circularity goals

Lessons learned

  • Learning fast beats launching fast
    We started with a working version in a single day and improved it based on real use, not assumptions.

  • Understand how something is used first
    Before we built, we walked the shop floor. Context determines whether technology holds up in practice.

  • Sharp choices make the difference
    No training our own AI model, no over-engineering the architecture. Deliberately leaving things out let us validate faster.

  • Speed and solidity aren’t mutually exclusive
    Every iteration brought sharper focus and a stronger foundation, built to keep running on the shop floor.

Services Used

The services we provided to deliver this solution.

Our Focus

Rapid Prototyping & MVP Development

Fast development of working prototypes and MVPs to validate your ideas and demonstrate to investors. From concept to clickable prototype in weeks, not months.

Build your software

Have custom software, a web application, or an app built by senior developers. From concept to production, or your AI-generated software made production-ready. Free scoping call up front.

Software development in Rotterdam

Looking to have software, an app or a web application built in Rotterdam? A senior studio at Hofplein that pairs AI tools with 15+ years of experience. From concept to production.

Additional Expertise

AI automation that keeps running in production

Frequently Asked Questions

Can you build an AI prototype for an investor or customer demo?

Yes. For Utilitarian we built a working first version in a single day: a tool that recognizes shoe brands as they're returned in-store. That version could be put straight to work to convince retailers and end users. We made sharp choices to get there, not training our own AI model and not over-investing in architecture up front, so we could validate quickly.

Does a fast prototype grow into a scalable platform?

With Utilitarian it did. After the day-one prototype we worked in follow-up sessions on scalability, analytics and design. We added what was needed: secure customer data processing, automated email flows, support for multiple brands and integration with their AWS infrastructure. The solution now runs white-label in stores including INTERSPORT and Runnersworld.

Do I need to train my own AI model for image recognition?

Far from always. For Utilitarian we deliberately chose not to train our own model, which let us build a working version in a single day and validate quickly. By deliberately leaving things out you learn faster what works, before investing in heavier technology.

How do you make sure technology fits real-world use?

By first understanding how something is used. On the first day we walked with the founder to a Runnersworld store to see the returns context for real. That context determines whether technology holds up on the shop floor; building without understanding how it's used is not how we work.

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