GHG operates primarily in the real estate sector while managing a fast-growing Electric Vehicle (EV) Fleet Management business. The company deploys a commercial fleet of electric vehicles operated across major ride-hailing platforms such as Uber, Ola, and Yatri Sathi. To maximize fleet utilization, GHG operates under two distinct driver models: a Commission-Based Model, where drivers earn a fixed revenue share per week with the balance retained as company profit, and a Subscription-Based Model, where drivers pay a fixed weekly fee and retain all trip earnings. As the fleet scaled, managing multi-model driver settlements, daily vehicle expenses, odometer tracking, and real-time profitability across disjointed spreadsheets became a critical bottleneck. Leadership needed a unified, high-performance platform to control operations without administrative drag. The risk wasn’t in their vehicle assets or market demand. It was in manual ledger reconciliation, fragmented driver settlements, and tracking performance data across multiple ride-hailing networks.
As commercial EV operations expanded, several structural and technical bottlenecks impeded efficient fleet oversight:
Managing two entirely different financial models (Commission-Based versus Subscription-Based) simultaneously created immense reconciliation friction using manual methods
Tracking granular financial transactions, including driver earnings, settlements, expenses, and credits/debits, lacked an integrated, automated ledger system
Monitoring vehicle utilization, maintenance costs, daily odometer readings, and overall business profitability required tedious cross-referencing of trip data
Implementing high-frequency GPS location tracking and detailed trip history presented a severe technical hurdle: storing continuous location pings natively inside Zoho Creator would have triggered massive data bloat and performance degradation
Drivers, routes, and vehicle movement reports lacked a centralized, real-time analytics hub to evaluate individual driver performance and trip earnings accurately