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Vogo : Powering a mobility platform with insights from IoT data

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Vogo is an automated dock-less scooter rental platform that aims to solve the problem of last- mile connectivity with an on-demand service that enables users to commute instantly.

The platform is built with a blend of IoT and Bluetooth technology, supplemented with state-of-the-art mobile and data frameworks. In this virtual session, know how Vogo’s hybrid system leverages the AWS stack to ingest data generated by IoT sensors, consumer and fleet apps, to empower dynamic bookings and engines such as real-time fraud detection, demand forecasting, dynamic pricing, among others.



Abhimanyu Goyal

VP of Engineering, Vogo

Gaurav Dingolia

Chief technical architect, Vogo


Sanup Haridas

Head of Data Science, Vogo


Rahul Shringarpure

Solutions Architect, AISPL

Key Takeaways

  • Know the challenges of a micro mobility company from a vehicle engineering, IoT, software and data standpoint.

  • How Vogo generated value for its business by tapping into huge volumes of IoT data.

  • How Vogo leveraged AWS data stack to efficiently gather insights from massive volumes of data.

  • How Vogo optimised its cloud cost to 50 percent without compromising on their quality of service.

  • How to optimise query performance for running complex queries with Amazon Athena.

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