3 days ago
iGowise ties up with Elektrik Express to deploy 2,000 AI-enabled e-trikes for urban deliveries
Elektrik Express
has partnered with
iGowise Mobility
to deploy 2,000 AI-integrated BeiGo 2.5-wheeler
electric pickup trikes
. The rollout will begin with a pilot phase starting on 15 August 2025 in Mumbai, Pune, Bengaluru, and Hyderabad.
The deployment will continue in phases over the next 24 months, with plans to expand into Tier 1 and Tier 2 Indian cities and later into Southeast Asia, Africa, and Latin America.
At the core of the initiative is MicroLogi, Elektrik Express's
logistics intelligence platform
. The system uses real-time IoT data, predictive analytics, and workflow optimisation to improve delivery network performance. During the pilot phase, selected fleets will be tested in partnership with quick-commerce operators.
The collected operational data and rider feedback will be used to refine route planning, energy consumption, and fleet behaviour before full-scale deployment.
Elektrik Express aims to address mid-range logistics categories involving loads between 50 and 150 kg and volumes between 100L and 500L, which it considers underserved by conventional two-wheelers and larger cargo vehicles.
Smart fleet integration and operational efficiency
The BeiGo 2.5-wheeler pickup trike developed by iGowise features a 100+ km range, swappable LFP batteries, and fast charging in 2.5 hours. The vehicle includes integrated smart telematics that communicate directly with MicroLogi to optimise routing, monitor fleet health, manage rider workloads, and oversee energy use.
Chintamani Sardesai, Co-founder, Elektrik Express, said, 'EVs are no longer a novelty—they are a necessity. But electrification without intelligence is just a half-step. With this partnership, we're creating a delivery infrastructure that is not only zero-emission but also self-optimising.'
Sravan Kumar Appana, CEO, iGowise Mobility, added, 'The BeiGo 2.5EV Pickup Trike is more than a vehicle. Our engineering has always been driven by real-world logistics pain points. Integrated with MicroLogi, our trikes become intelligent agents in a living, learning fleet capable of scaling smarter, safer, and more profitable delivery networks.'
Commercial rollout model
The full deployment of the 2,000 units will follow a two-phase model. The first is a pilot phase in collaboration with quick-commerce operators to assess AI performance through operational data. The second phase will be commercial deployment through a Partners Lease Program, which enables fleet operators, startups, and enterprises to adopt the vehicles without significant upfront investment.
The initiative's core features include AI-assisted route learning, predictive maintenance, centralised fleet monitoring, and integration with existing delivery platforms through quick-commerce APIs. The aim is to create a scalable and responsive delivery network designed for the urban logistics needs of India and similar global markets.
