Building a platform that serves fleet managers, OEMs, vehicle makers, and financiers simultaneously is complex. How do you prioritize product features when each stakeholder group has fundamentally different needs?
ROQIT approaches this as a modular platform design problem rather than a feature prioritization exercise. Different stakeholders require different outcomes but building separately for each lead to fragmentation. Instead, the platform is structured around core modules, such as asset tracking and trip management, that can be configured across use cases. This allows us to serve multiple stakeholders without over-engineering for any single one.
At the core is a simple abstraction: an asset represents any operational unit, and a trip represents its movement or utilization cycle. Whether this is a vehicle on a route or equipment operating within a defined cycle, the same building blocks apply.
Bhanutej Mallangi, Chief Product Officer, ROQIT
Today, customers are increasingly relying on ROQIT to understand how much of their asset movement is actually productive versus incidental, and this is already starting to change how operators identify and reduce non-productive movement in their operations.
Most systems focus on where an asset is. ROQIT focuses on whether its movement is actually creating value. The industry has largely solved for visibility—the next challenge is enabling better operational decisions.
This approach is already being applied across varied operating environments, including large-scale electric fleet operations that are closely tied to broader logistics networks, where the same system can adapt to very different movement patterns without structural changes.
India’s EV charging infrastructure is still patchy. How does the platform factor in charging infrastructure gaps when doing route planning or fleet scheduling?
ROQIT is designed to operate within real-world constraints rather than ideal conditions, particularly in environments where EV infrastructure is still evolving.
Today, the platform focuses on trip intelligence and asset utilization, helping operators distinguish between productive (revenue-linked) and non-productive movement. In current deployments, this is already starting to change how operators identify and reduce non-productive movement, and how routes and operations are structured.
In one such environment, the platform is being used across a large electric fleet operating at scale, where trip creation and execution at the fleet layer are directly aligned with downstream logistics flows. Operational systems can generate trips, which can be orchestrated through ROQIT and fulfilled through driver-facing applications, ensuring continuity between planning, movement, and fulfilment.
A “trip” in this context is not just distance covered, it represents a unit of work or output, whether that’s a delivery route or an operational cycle.
On the EV side, ROQIT integrates available telemetry and is evolving to incorporate charging-aware insights, including station availability through ecosystem integrations.
Looking ahead, we are working towards enhancing route intelligence by incorporating factors such as energy feasibility, terrain, payload, and traffic conditions, progressively moving towards more predictive and EV-optimized planning.
ROQIT positions itself at the intersection of electrification and AI-led transformation. But for fleet operators who still run mixed fleets like part diesel, part EV. How does the platform handle hybrid fleet management without penalizing operators still in transition?
Most fleets today operate in a hybrid state, and ROQIT is designed to support this transition without introducing operational complexity.
The platform provides a unified operational layer, enabling operators to manage different asset types within a single system, with consistent visibility across utilization, trip patterns, and efficiency. This abstraction allows fundamentally different asset behaviors to be compared through a common lens—how effectively each asset is being utilized within its operational cycle.
At the same time, we recognize the need for deeper, asset-specific intelligence. Capabilities such as battery health analytics, degradation tracking, and advanced diagnostics are part of the next phase of the platform’s evolution.
Our approach is to establish a strong operational baseline first, and then progressively layer in specialized intelligence, ensuring that decision-making improves over time without disrupting existing workflows.
ROQIT is built to comply with India’s national and state-level EV policies, which are still evolving rapidly. How do you build regulatory compliance into the product without making every policy update a major re-engineering effort?
ROQIT approaches compliance as a configurable and evolving layer, rather than hardcoded functionality.
While this capability is still being built out, the direction is towards a rule-driven framework where regulatory requirements can be translated into configurable guardrails, reducing the need for repeated engineering changes.
Today, the platform captures granular operational and usage data at the asset and trip level, which forms the foundation for compliance and reporting.
Building on this, we are working towards enabling policies to be applied dynamically based on factors such as geography, asset type, and usage context, ensuring that compliance aligns with how assets are actually being operated.
This becomes increasingly important in environments where regulatory frameworks vary significantly across use cases, requiring flexibility without compromising consistency.
Looking ahead three to five years, where do you see the biggest technology disruptions in fleet and logistics management and how is ROQIT’s product strategy positioning itself to lead rather than react?
Over the next 3–5 years, fleet and logistics management will be shaped by three shifts: AI-driven decision-making, deeper asset intelligence, and the emergence of carbon as a measurable and monetizable layer.
A key shift will be how movement is interpreted—not just as distance covered, but as output generated. Platforms that can contextualize asset behavior within its purpose will define the next phase of operational intelligence.
ROQIT is being built around this principle. By structuring the system around assets and their operational cycles and acting as a layer through which trips can be orchestrated across systems, the platform is designed to extend across industries where utilization, efficiency, and output are tightly linked.
This allows ROQIT to evolve from a fleet management system into a broader asset intelligence and orchestration platform, without changing its core architecture.
The focus is on enabling customers to measure, optimize, and derive financial and operational value from how their assets are used.
-Author Bhanutej Mallangi, Chief Product Officer, ROQIT
About The Author
