Uber partnered with Opinov8 to accelerate Python app development—gaining speed, flexibility, and access to top engineering talent.
About the customer
Uber, a global leader in ride-sharing and mobility solutions, operates in numerous markets worldwide. As part of their expansion strategy, Uber sought to enhance their driver onboarding process in developing markets, focusing on Latin America and Eastern Europe. This expansion required a tailored solution to address specific challenges faced by new drivers in these regions.
Onboarding for Growth Markets
Uber needed a more efficient way to onboard new drivers in emerging markets. The existing process was slowed by limited access to car leasing options, inconsistent training resources, and a fragmented registration experience. To scale effectively, Uber required a dedicated side platform that would centralize leasing opportunities, provide onboarding support, and streamline driver registration — ultimately boosting activation rates and enabling smoother integration into the Uber ecosystem.
What We Delivered for Uber
Our approach blended cloud modernization, automation, and advanced data architecture to simplify onboarding at scale.
Cloud-Based Modernization
We migrated the platform to the cloud using Databricks and Apache Spark, implementing a medallion architecture to optimize and structure data flow.
Automation and Security
CI/CD pipelines, Terraform, and Azure DevOps automated infrastructure provisioning, while a multi-tenant SaaS model with strict data segregation ensured compliance and security.
Advanced Data Processing
Support for new data types enabled seamless integration with BI, AI, and ML tools, unlocking real-time insights for faster, data-driven decisions.
The solution developed by Moqod, now part of Opinov8, helped Uber scale
its driver onboarding with speed, structure, and strategic impact.
Increased Driver Onboarding
The platform significantly improved the efficiency of onboarding new drivers, leading to a larger, more reliable driver base in the targeted regions.
Enhanced Driver Support
By providing a centralized platform for car leasing and training, the new drivers received better support, leading to higher satisfaction and retention rates.
Operational Efficiency
The streamlined registration and onboarding process reduced administrative overhead for Uber, allowing them to focus on core business operations.
Market Expansion Readiness
The scalable platform enabled Uber to launch and adapt quickly in new regions, accelerating entry into untapped markets.
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