With Bicycle, UrbanPiper detects store availability, menu, and order-processing issues in real time across a global restaurant network, cutting resolution from days to hours.
With over 45,000 restaurant locations leveraging the UrbanPiper software and processing millions of orders every week, Bicycle has been pivotal in our approach to data-driven decision-making.
A restaurant technology company running multi-aggregator operations at global scale.
Across hundreds of restaurant locations with 50 to 100+ items each, UrbanPiper lacked real-time visibility into store and pipeline health. Issues surfaced through customer complaints, not proactive detection, and restaurant clients were losing confidence in reliability.
Restaurants appeared offline on delivery aggregators while physically operational, and menu items were marked unavailable despite being in stock.
Watching store and menu status by hand was impossible across hundreds of locations, so problems were caught late or not at all.
There was little insight into cancellations, unaccepted requests, rejections, and error-rate spikes, and no clear view of order flow between aggregators and POS systems.
Critical failures were detected at end-of-day rather than as they happened, eroding restaurant-client trust in the service.
UrbanPiper deployed Bicycle on its existing event streams, Kafka and webhook APIs, to monitor store availability and order flow continuously without disrupting the systems already in place.
Bicycle detects anomalies in store online and offline status and menu availability as they happen, so problems surface before customers notice.
Multi-channel alerting reaches area and store managers via Telegram, email, and SMS, with stock intelligence that supports proactive inventory decisions.
Order journeys are tracked from aggregators through POS systems, pinpointing where orders fail to reach POS and why.
Cancellation and rejection monitoring with automated root-cause analysis explains what changed, backed by journey visualizations that expose bottlenecks.
Interactive dashboards with drill-down analytics and role-based access let teams self-serve, with the service offered back to restaurant clients as a white-label option.
Availability blind spots, turned into real-time awareness and faster fixes.
UrbanPiper acts on store and order issues as they emerge, instead of learning about them from complaints.
Resolution shifted from days to hours, with teams catching store and order problems before they reached customers.
Area managers understand availability issues as they emerge, preventing lost sales instead of reacting after the fact.
Orders failing to reach POS are identified and resolved, with degradation points visible across the full order journey.
Improved service reliability and multi-channel alerting support higher restaurant-client retention and continued international expansion.
Bring one revenue-critical KPI. We'll show how Bicycle detects the movement, explains the cause, and recommends the next step.