All platforms, one view
Unified sales data
Every sales channel had its own dashboard. Getting a clear picture meant logging into each one and doing the maths yourself.
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Running a handmade goods business across multiple sales channels meant checking three platforms just to understand how the day was going. Sales figures lived in separate places, there was no easy way to see what was actually moving, and production decisions were based on a rough read rather than real data.
The knock-on effect hit the workshop. Without a clear picture of demand, it was too easy to cut the wrong things - spending time on products that weren't selling while popular customisations fell behind.
We built an internal platform that pulled live sales data from multiple channels into a single view. Instead of logging into each one separately and piecing together a picture, the team could see exactly what was selling and how fast.
The real value was what came next. That sales data fed directly into production planning, surfacing which customisations were in demand and what needed to go through the laser cutter. Less guesswork, less overproduction, fewer days where the wrong things got made.
Built to scale. The foundation was designed to absorb more channels, ad spend tracking, and real-time margin data as the business grew.
Unified sales data
Every sales channel had its own dashboard. Getting a clear picture meant logging into each one and doing the maths yourself.
Demand-driven production
Sales trends fed straight into the production queue, showing which customisations to cut next. The laser cutter ran on real demand, not gut feel.
Built to grow
Designed from the start to bring in ad spend from Etsy and Facebook, giving a real picture of margin per product rather than just top-line revenue.
Before this, figuring out what to make meant checking each platform, making notes, and hoping the read was right. It worked at small scale but it wasn't going to hold up as the product range and order volume grew.
With live data in one place, the team could make faster calls on what to prioritise. Which designs were moving, which platforms were performing, and what was sitting in the queue waiting to be cut.
Small team, but the system wasn't built to stay that way.
We stopped guessing what to make. The system told us exactly what was selling and we cut to match it.