Each of the 45 studios in the franchise ran its own bike system, and performance data stayed exactly where it was generated. A member's ride stats lived and died inside that one studio's system, delivered as a one-off email after class and nothing more, with no way to see how a ride compared to last week's, let alone a ride at a different studio.

That siloing worked against the franchise's own structure. Members who trained across more than one studio, which the brand's model encourages, had no personal trend view connecting those rides together. Every studio was an island as far as a member's own history was concerned, even though the franchise itself was one network.

Headquarters felt the same gap from the operator's side. With no network-level picture of occupancy or instructor performance across the 45 studios, schedule decisions, when to add a class, which instructors were drawing riders, were made on gut feel rather than on any shared view of what was actually happening studio by studio.

We built a central data platform that ingests bike telemetry and booking data from all 45 studios into one place, so a ride's data no longer stays trapped in the studio that generated it. That single platform became the foundation for two products built directly on top of it.

For members, we built in-app dashboards showing personal records, trends and cross-studio ride history, so a rider training at more than one studio finally sees one connected picture of their own progress instead of a series of disconnected one-off emails.

For studio owners and headquarters, we built a BI suite giving a network-level view: occupancy heatmaps, instructor benchmarks and early-churn indicators drawn from data across all 45 studios, letting schedule and coaching decisions be steered by evidence instead of gut feel.