Porter. Order matching, pricing and ML platform for on-demand logistics.
Porter is an on-demand logistics platform for goods movement, serving customers and driver-partners across India.
Over a 2+ year engagement, we helped Porter make its core logistics systems faster, more reliable, and smarter, from matching orders and quoting prices to running fleets and onboarding drivers.
We built a data science platform that let teams build, test, and ship machine learning models faster, turning experiments into live features more reliably.
We built an AI system that reads driver documents with 90% accuracy, cutting manual paperwork and getting driver-partners onboarded faster.
We rebuilt the system that matches orders and generates price quotes across India. Uptime rose from the low-99% range to 99.9%, response times dropped from 1.5s to 300ms, and new data science models delivered 3% more fulfilled orders.
We redesigned the driver onboarding system by aligning product, design, analytics, and engineering teams around a shared model of the driver's journey.
We moved Porter's core logistics platform toward an event-driven design, making it easier for teams to build reliable features as operations kept changing.
We also advised Porter's leadership on engineering strategy, AI opportunities, and the architecture and practices needed to support their long-term product vision.