THE SOLUTION

A robust, enterprise-grade Fleet and Fuel Management Solution was rapidly implemented using the Devum low-code application platform, consolidating operational data across a cross-border fleet of heavy-duty trucks. The solution unified fuel-level monitoring, live vehicle tracking, driver compliance, route replay, predictive maintenance, and geofencing into a single, intuitive interface. By moving away from manual processes and fragmented systems, the operations team gained real-time visibility, actionable insights, and stronger control over fleet productivity, safety, and fuel efficiency.

Behind the scenes, Devum’s Microservices architecture simplified what would traditionally require complex custom development. Telemetry data from GPS devices and fuel sensors was ingested through REST API integration and structured within the Devum Data Modeller, while Domain Services applied rules, thresholds, and transformations to automate anomaly detection and compliance monitoring. On the front end, dashboards were assembled in App Studio using prebuilt components from the Library of Controls, such as Single Marker, Single Polygon, Charts, and KPI Builder, all configurable through drag-and-drop. With support for offline data capture and synchronisation, the solution ensured uninterrupted reporting even in low-connectivity zones, delivering an end-to-end fleet management system faster, easier, and with greater scalability than traditional development approaches.

CLIENT*

The end user is a prominent construction and infrastructure conglomerate with a strong foothold across South Asia. Established as a key driver of national and cross-border development initiatives, the group has built a legacy in diverse domains including civil construction, hydropower projects, highway infrastructure, and heavy logistics. With an extensive fleet of specialised equipment and heavy-duty vehicles operating across challenging terrains and international routes, the company is renowned for its commitment to timely project delivery, stringent compliance standards, and robust safety measures.

Recognised as an early adopter of cutting-edge digital technologies, the group continues to leverage innovation to enhance project execution, streamline logistics, and optimise resource utilisation. Their forward-looking approach reflects a commitment to operational excellence, sustainability, and technological advancement.

*All names and logos have been changed to respect the NDA.

THE PROBLEM STATEMENT

FUEL LEVEL MONITORING AND WITHDRAWAL TRACKING

There was no mechanism to monitor fuel usage or withdrawals. Fuel levels were tracked manually, which often led to discrepancies, delays in reporting, and an inability to detect unauthorised withdrawals or sudden drops. It was difficult for managers to verify whether fuel consumption matched actual utilisation, leaving room for pilferage and inefficiency.

Additionally, the absence of a unified mineral reserve monitoring system made it difficult to track deposit locations, estimate ore grades, and maintain visibility over reserve quantities – most of which were manually recorded.

To address the challenges of manual fuel tracking, the Fleet and Fuel Management Application built on Devum included a dedicated Fuel Monitoring Module. Powered by the Devum Microservices Framework, the solution integrated seamlessly with industry-grade fuel level sensors through REST APIs, using a simplified graphical interface that made connectivity both quick and efficient. Real-time data was captured directly from vehicles and storage tanks, then reformatted and standardised through Devum Domain Services, which offered pre-built functions to handle complex data transformations without the need for extensive coding. On the user interface side, Devum KPI Builder and the pre-built components in Devum App Studio transformed raw data into intuitive, actionable insights through simple drag-and-drop configurations. This allowed fuel levels to be tracked over time with Line and Area charts, fuel consumption to be compared against driving duration using Grouped Bar charts, and key records such as drops, refuelling events, and anomalies to be presented in clear, Unpaginated List formats. By eliminating delays and inaccuracies inherent in manual reporting, the solution empowered managers with automated monitoring and anomaly detection, enabling them to detect unauthorised withdrawals, identify sudden drops, and exercise tighter control over consumption. Ultimately, the organisation achieved greater transparency, improved cost control, and a substantial reduction in the risk of fuel pilferage across its operations.

MANUAL DATA CONSOLIDATION CAUSING REPORTING DELAYS

Before automation, operational data from trucks and sensors was consolidated manually. This process was time-consuming and prone to errors, resulting in delayed insights. By the time reports were generated, they were often outdated, making them less actionable. Managers struggled to take timely decisions due to this gap. 

To eliminate manual inefficiencies, the application incorporated an automated reporting module powered by Devum Domain Services and the Devum Report Scheduler, enabling advanced data analytics with minimal effort. GPS and fuel telemetry data were integrated into the platform through secure APIs, ensuring a steady flow of accurate, real-time information. Prebuilt transformation functions in Devum Domain Services then structured this raw input into standardised formats within the Devum Data Modeller, making it immediately available for analysis. Once the data pipeline was established, dashboards were configured in App Studio using prebuilt, drag-and-drop components that converted complex datasets into intuitive, actionable insights. This combination of seamless API integration, automated data processing, and low-code dashboard configuration ensured that critical intelligence was available instantly. As a result, managers no longer had to rely on delayed, error-prone manual reports and could instead make quick, informed decisions backed by accurate, up-to-the-minute data. 

LIMITED FLEET VISIBILITY AND LACK OF DRIVER BEHAVIOUR MONITORING

The operations team had little to no visibility into vehicle movements or driver actions. Managers could not track where trucks were in real-time, reconstruct travel history, or detect issues such as unauthorised stoppages, harsh driving patterns, or unsafe behaviours like speeding and prolonged idling. This lack of transparency created risks around asset utilisation, route deviations, compliance, and overall fleet productivity. In remote mining zones, it further caused delays in decision-making and limited the ability to promote safety or enforce accountability across drivers.

To address these challenges, the application introduced a comprehensive Fleet Tracking and Driver Compliance Module built on Devum. GPS data from vehicles was captured and processed into a structured schema using the Devum Data Modeller, forming the foundation for both real-time tracking and behaviour monitoring. Leveraging dynamic layers in the App Studio 2D Map component, trucks were visualised on an interactive, map-based dashboard. Prebuilt Map controls such as Single Marker plotted live vehicle positions, while marker lists reconstructed complete travel paths for historical analysis. Since these components are part of the Devum Library of Controls, they could be dragged and dropped onto the application canvas and configured with minimal effort, eliminating the need for complex custom development.

Building on this, the Single Polygon component was used to create geofences directly on the map, which were then bound to business rules in Devum Domain Services. This enabled the system to automatically trigger alerts for restricted area entries, prolonged stoppages, or deviations from defined routes. At the same time, thresholds were configured within Domain Services to detect unsafe driving patterns such as harsh braking, rapid acceleration, or over speeding. All such events were logged into the schema and surfaced on dashboards built in App Studio, where prebuilt charts and tabular views transformed them into actionable insights. By combining automated GPS tracking, geofencing, and driver behaviour monitoring within a single low-code solution, the operations team gained real-time visibility into fleet movements, the ability to analyse historical journeys, and actionable insights into driver performance. This not only improved asset utilisation and operational efficiency but also established a foundation for enforcing compliance, promoting safer driving practices, and making faster, more informed decisions in the field.

DATA LOSS RISKS IN LOW-CONNECTIVITY ZONES

Mining operations often take place in remote areas with weak or no connectivity. In such zones, trucks could operate for days without transmitting real-time data, creating blind spots in monitoring. Without offline backup, managers risked losing entire chunks of operational data, making historical analysis and reconciliation unreliable.

To address connectivity challenges in remote mining zones, the application leveraged Devum’s offline data capture and synchronisation features. Even when vehicles entered areas without internet coverage, telemetry data from fuel sensors continued to flow into the mobile application, where it was cached locally in memory. Once connectivity was restored, the cached records were automatically uploaded to the server, ensuring that no data was lost. This functionality is natively available in Devum App Studio when creating mobile app pages: by enabling the Supports Offline option, administrators can configure which datasets should be cached on the device and how they should be synced back once online. This pre-configuration ensured that both critical and non-critical datasets were handled appropriately, giving managers control over whether all records or only specific events were stored locally. The Devum Data Modeller seamlessly merged cached and live data into the structured schema, while Domain Services applied ingestion rules such as prioritising the newest or oldest records first. On the front end, dashboards in App Studio updated automatically, maintaining a complete and uninterrupted view of fleet activity without reporting gaps. By combining app-level caching with configurable offline settings, the solution eliminated blind spots, safeguarded reporting accuracy, and empowered managers to make confident decisions regardless of connectivity conditions. 

NO PREDICTIVE MAINTENANCE INSIGHTS

The operations team lacked proactive measures to identify potential vehicle breakdowns before they occurred. Without predictive insights, trucks often went into unplanned downtime, affecting fleet utilisation and productivity. The inability to track key engine health parameters made the operations reactive rather than preventive.

To shift from reactive fixes to preventive monitoring, the application integrated a predictive maintenance capability that continuously analysed engine health. Telemetry data from smart fuel sensors were accessed via APIs and routed into the Devum Data Modeller, where prebuilt transformation functions standardised parameters for analysis. In Domain Services, thresholds and rules evaluated signals such as oil temperature, RPM, voltage irregularities, and sensor faults, automatically flagging anomalies. Dashboards in App Studio were then configured using the Library of Controls, allowing insights to be presented with minimal development effort. Line and area charts highlighted trend deviations, tabular lists displayed recent alerts, and the KPI Builder consolidated signals into fleet-wide metrics like Vehicles at Risk, Open Maintenance Alerts, and Mean Time Between Alerts. This unified view gave managers real-time visibility across the fleet and the ability to drill down to individual vehicles, enabling smarter maintenance planning. As a result, unplanned downtime was reduced, idle time was minimised, and fleet reliability and lifespan improved. 

INFOGRAPHIC: PROCESS FLOW DIAGRAM

Fleet and Fuel Management System - Process Flow Diagram

SCREENSHOTS

Real-time fleet and fuel metrics visualised on the map-based MineOne Fleet Management dashboard using Devum App Studio - Map Controls.	A detailed Fuel Consumption dashboard that offers complete visibility into fleet fuel usage, and detects anomalies using Devum App Studio, Domain Services and KPI Builder.
The Fleet Management dashboard being developed using Devum App Studio and Microservices Framework with Geofencing Polygons.	The Fuel Management report was built to visualise fleet fuel consumption using Devum KPI Builder, App Studio and Domain Services.

BUSINESS VALUE

 *Benefits and performance improvements are based on observed operational outcomes and internal benchmarks during and after deployment. Results may vary depending on site conditions and implementation scope.

By unifying fleet visibility, fuel monitoring, and driver compliance into a single platform, Devum enabled the client to achieve measurable cost savings, stronger safety compliance, and faster decision-making. The solution not only solved immediate operational challenges but also laid the foundation for scalable digital transformation across their logistics ecosystem.

Devum makes it easy to build bespoke enterprise-grade mining digitalisation applications – fast, without complexity.