For more than 130 years, Bianchi has been part of bicycle history, with an international presence across racing and everyday bikes. In 2020, the company launched a new production plant with a clear objective: bring industrial capacity closer to the heart of the brand and bring the plant up to full operating speed. The challenge came from a production environment that was becoming more demanding by the day: greater product variety, smaller batches, increasing customization, and a target of up to 500 bicycles per day. Producing more was no longer the whole point. Bianchi needed a plant able to stay fluid and resilient, even as every order became less standard than the previous one.
500 bicycles per day,
with growing variety.



From live data to operational decisions.




Return on AI,
produced on the shop floor
Production target reached and maintained, even with greater product variety, smaller batches, and increasing customization.
Machine states are monitored across working time, setup, idle time, errors, and micro-stops.
Traceable control across kitting, components, and configuration reduces the risk of errors before production of each individual unit begins.
Process deviations are detected as they happen, with data and analytics that help read anomalies, recurring issues, and operational patterns.
Each frame becomes a unique production unit: order, workstation, components, and progress remain connected to the individual piece.
Live data and AI analytics help managers understand production performance while it happens. KPIs, anomalies, delays, and critical signals become actionable information before they become operational costs.