Elektrik Express and iGowise Mobility have joined forces to launch a fleet of 2,000 AI-integrated electric pickup trikes aimed at transforming India’s urban delivery sector. The collaboration targets a logistics space between two-wheelers and cargo loaders for last-mile delivery loads between 50 to 150 kilograms and volumes ranging from 100 to 500 litres. The vehicles will be rolled out in phases over the next 18 months, starting with a pilot in four major cities, Mumbai, Pune, Bengaluru, and Hyderabad, on 15 August 2025.
At the core of this initiative is the BeiGo 2.5W electric trike developed by iGowise, combined with Elektrik Express’s MicroLogi platform. The trike is designed specifically for intensive urban delivery with a focus on stability, comfort, and payload efficiency. It features a 100+ km range, LFP swappable batteries, and a 2.5-hour fast charging system.
During the pilot phase, quick-commerce operators will provide live operational data, rider feedback, and delivery heatmaps. These inputs will allow the AI system to evolve its understanding of city traffic patterns, delivery volumes, and time cycles. The aim is not only to increase operational efficiency but also to make deliveries smarter and less resource-heavy over time.
The partnership also includes a flexible leasing programme for operators, allowing fleet managers and logistics startups to join the deployment with limited upfront investment. This model is expected to appeal to small and mid-sized businesses looking to adopt electric mobility without large capital expenditure. The focus on operational affordability is supported by a claimed 65 percent cost saving compared to conventional internal combustion engine vehicles.
The BeiGo trike’s integration with MicroLogi, a logistics platform that uses real-time data, predictive algorithms, and rider input to continually improve routing, vehicle performance, and energy use. This also enables predictive maintenance, rider workload balancing, and real-time fleet health monitoring. By focusing on AI-powered planning and on-road feedback, the platform aims to create a delivery system that not only reduces emissions but also scales more logically with growing demand. With a central dashboard and compatibility with existing delivery APIs, the system is plug-and-play ready for most current urban logistics models.
Also Read