How AllWhere built a data platform it could trust — without hiring a data team

AllWhere is a fast-growing startup that runs a global supply chain: coordinating third-party logistics (3PL), OEM partners like Apple, Dell, and Lenovo, and distribution across the world. Two teams sit at the center of that operation: supply chain, led by Brayden Campbell, and asset management, led by Jadyn. Both run entirely on data: order flow, stock levels, escalation rates, SLA adherence, and the operational health of every vendor.

But for years, that data lived in a raw warehouse that forced every team member to become a part-time data architect just to answer basic questions. Polyform replaced that setup with a structured foundation and an external data team — and did it in weeks, not quarters.

AllWhere operated out of QuickSight on a raw data warehouse. Inexperienced users were forced to extract and manipulate their own data, navigating a warehouse where endpoints could be duplicated and named several different things. Getting a sound answer meant understanding the whole territory first.

That uncertainty landed squarely on Brayden. He had to keep immense oversight of what the team pulled, and usually be the one pulling it himself, just to be sure it was right. His team spent about an hour every morning extracting raw data, running it through spreadsheets, and rebuilding dashboards before they could even see how the operation was performing.

The deepest problem was structural. For two and a half years order-level and asset-level data had never been merged. Because the asset process continues after an order technically closes, AllWhere couldn’t see when an order was truly complete without joining two separate warehouses by hand. The hidden cost wasn’t only time; it was scale. As an early-stage startup building fast on legacy code, the mess compounded and left to their own devices, the team could clean up symptoms but never the structure.

AllWhere didn’t just need extra hands. It needed expertise it couldn’t build internally fast enough.

Just as important, Polyform showed up as thought leaders by challenging how the team framed a problem rather than only executing tickets.

The turnaround was immediate. Within the first two weeks, Polyform merged the order and asset datasets that had lived apart for two and a half years, rebuilt the manual spreadsheet dashboards directly into the database, and stood up automated, auto-emailed reports. That single change removed Brayden from the equation faster than he expected.

The relationship is what makes it stick. Brayden can raise an issue and be on a call within 15 to 30 minutes, and complex problems that were not solvable in half an hour, routinely are with. For Jadyn’s asset-management team, the same structure produced a dedicated SLA adherence tab and dashboards that finally made the numbers clear.

Two and a half years of siloed data was merged in two weeks. An hour of manual extraction every morning became automated, auto-emailed reporting. Response times that used to stretch to 72 hours collapsed to a 15-to-30-minute call. Most importantly, Brayden was removed as the bottleneck, his team is now self-serve with confidence and gets on calls with Polyform directly to build what they need next.