Bicycle AI helps leaders in retail, payments, and travel turn real-time data into decisive actions.
Bicycle AI helps leaders in retail, payments, and travel turn real-time data into decisive actions.

UrbanPiper relies on Bicycle AI to track order flows across multiple restaurants and delivery platforms. Proactive alerts on failures help them minimize downtime and keep food orders moving seamlessly.

bigbasket leverages Bicycle AI for proactive, event-driven insights that prevent stockouts, reduce delivery delays, and enhance the overall customer experience.

A precious metals exchange, Alloy uses Bicycle AI to identify real-time patterns and insights across sellers, consumer behaviors, and potential software issues, bringing radical transparency to their industry.

A fintech company, TheGuarantors utilizes Bicycle AI to streamline its underwriting workflow for approvals. Their objective is to accelerate approval processing, minimize MTTR, and automate the alerting process.

By overlaying proactive data insights onto their complex logistics workflows, ACERTUS uses Bicycle AI to improve operational triaging and customer journey visibility.

As a leader in online travel deals, Priceline relies on Bicycle AI for real-time analytics and operations capabilities to help find and share the best travel deals with their customers.










“Our supply chain and logistics technology relies on real-time data from a variety of sources. Bicycle supplements our data science efforts by providing proactive, event-driven insights to help deliver a superior customer experience.”



“Focusing on aggregate metrics might boost our bottom line, but true profit growth often lies in the details. Bicycle empowers us to spot hyper specific opportunities and pinpoint key drivers. This shift from broad strokes to precision targeting is transforming our supply chain strategy.”



"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."



“Prioritizing proactive anomaly detection is essential to safeguard against critical disruptions and ensure resilient operations. Bicycle plays a instrumental role in achieving this objective and elevating our decision-making.”



