Putting Al Behind Every Operational Decision in India's Largest Electric Fleet
As Lithium Urban Technologies expanded its EV fleet operations, critical workflows remained spread across multiple systems and manual coordination channels. The company needed a unified AI operations layer that could transform fleet data into action, automate routine operations, and provide teams with real-time visibility across the network.
challenge 1
A Connected Fleet, Still Run by Manual Coordination
Lithium had the data, but daily operations still depended on phone calls and disconnected applications. Without a unified view, issues often surfaced only after they had already affected trips, SLAs, or customer experience.
challenge 2
Resources Were Available but Never Where They Were Needed
Fleet capacity remained unevenly distributed across cities, with idle vehicles at some sites and shortages at others. Manual coordination could not keep pace with changing demand, leading to lower utilization and unnecessary operating costs.
challenge 3
Breakdowns Discovered Only Once It Was Too Late
Vehicle issues often surfaced after breakdowns, causing missed trips and higher maintenance costs. Valuable telematics signals existed, but they were not being used to predict failures early.
tericsoft x lithium urban technologies
Tericsoft Developed an AI Operations Layer Across the Entire Fleet
solution 1
AI Operations Co-Pilot for Fleet Orchestration
One intelligent layer monitors operations and acts when needed. A human-like voice agent reaches drivers across voice, SMS, and push. Routine coordination handles itself, while people step in where judgment matters. The team directs the operation.
solution 2
Demand Forecasting and Cross-Utilisation Engine
A real-time allocation engine balances charge, rosters, and live demand across sites. Supervisors message the AI on WhatsApp and get the nearest available vehicles in seconds. Optimization underneath, controlled conversations on top.
solution 3
Every Fault Caught Before It Happens
Driver inspections and live telematics became early warning signals, helping prevent failures. Maintenance shifted from reactive repairs to planned care, reducing breakdowns and keeping vehicles on the road.
SUCCESS STORY
~20% Gain in Fleet Productivity
Lithium Urban Technologies improved fleet utilization and operational efficiency by introducing an AI-driven operations layer for allocation, driver engagement, and predictive maintenance.
Impact Created by Lithium Urban Technologies Through AI-Driven Fleet Operations
<3 minutes
From repeated calls across sites to one seamless conversation
3X
Operations Capability Enabled Through AI Orchestration
5+
AI Systems Running in Production Across Operations
What our Partner Says...
Tericsoft has played a vital role in our digital transformation journey at Lithium. They have been extremely passionate and instrumental in helping us migrate to a scalable technology stack. Moreover, they have worked seamlessly with our team.
Sanjay Krishnan, Former CEO & Founder
Our Impact:
Turning Visions To Reality
Delve into our case studies to witness how we've successfully introduced remarkable solutions to the market, delivering top-notch service.
We helped Srinivasa Travels unify tours, transport, and airport mobility operations, increasing fleet utilization by ~15% and digitizing 20%+ workflows.