The Core Challenges

With over 20 years of experience in the Logistics space, the client’s leadership team was on a constant hunt to leverage digital technologies; in order to offer IoT logistics solutions and expands its customer base. Most logistics customers have four main business concerns; real-time tracking & monitoring of vehicles, understanding driving habits of workforce, tracking vehicle idling & fuel usage trends, and predicting vehicle failures. With the existing fleet tracking systems, they had no means to monitor their fleet of vehicles in real-time; to avoid any breakdown, failure, or delay in their supply chain operations. There were no insights for the companies to understand the driving habits of workforce like harsh braking, cornering, etc., due to which they were unable to put focus on improving the performance of inefficient & discourteous drivers through trainings.

In addition, they had no means to identify unplanned stops of each vehicle, drive time versus customer service time and vehicle idle time. In addition, their existing system lacked capabilities to track vehicle idling & fuel usage trends to optimize fuel consumption, making it impossible to set up a cost-effective fleet optimization engine. Unexpected failure/breakdown of vehicles resulted in a huge loss in vehicle productivity and maintenance costs. Also, their existing manual process for vehicle repairs and maintenance was time-consuming.

Our client wanted to address all these impediments smartly with an efficient IoT fleet management solution that utilizes diagnostic data of the vehicles, drivers and history of unplanned events. And, such data needs to be obtained from installed GPS enabled devices (IoT assets) in the vehicles. These devices provide information - vehicle speed, engine coolant temperature & RPM, trip mileage/fuel consumption, hard acceleration/brake, engine idle time etc.

By analyzing the collected data, a complete picture of real-time operations can be made available. These insights would help them select the most appropriate route, maximize uptime, control costs, and reduce fuel; thereby boosting productivity, increasing operational efficiency, and optimizing fleet. However, to architect such a solution they required an integrated IoT & Data Analytics platform; which supports any kind of device and possesses an ability to perform analytics for critical insights. To create such a robust predictive analytics fleet management solution, they engaged Saviant as their IoT & Data Analytics consulting partner.

IoT Fleet Management Solution using Azure

Azure IoT Hub, Azure Table Storage, Stream Analytics, Event Hub, Azure ML, App Service & Power BI

Saviant’s cold-chain monitoring & logistics expertise helped create an IoT Fleet Management solution, using Azure platform. It provides intelligent business insights to improve fleet operational efficiency. The solution creates a positive impact on IoT vehicle tracking, preventive vehicle maintenance, driver performance and overall fleet operations. The client’s logistics customers can login to a web portal to track & monitor their vehicles, schedule maintenance activities, supervise driver behavior and predict asset failure for improved operational efficiency and faster operational support.

Azure IoT based Fleet Management Solution

Devising the IoT Solution

While building the IoT Fleet management solution, our project teams faced three major challenges involving - how to

  • Provide support for any IoT device installed in the vehicle
  • Receive & store data from the respective IoT devices and
  • Analyze the collected telematics data

Saviant’s team of IoT & Data Analytics consultants overcame these obstacles by developing the solution architecture leveraging Microsoft Azure IoT. The IoT gateway supports any kind of IoT devices such as GL213 and 618; which are GPS vehicle tracking devices that collect data related to vehicle speed, engine coolant temperature & RPM, Trip Mileage/Fuel Consumption, hard acceleration/brake, engine idle time etc.

In this IoT Fleet management use case, the Analytics engine utilizes the collected IoT vehicle tracking data to derive real-time & predictive insights and Power BI tool helped to generate various analytics reports for intelligent decision-making. Although this Smart Fleet Management IoT solution was delivered as a proof-of-concept, our Middle East client was impressed on gaining visible potential benefits, one of which includes the solution’s scalability to handle up to 5000 vehicles.

Fleet Management Solution using Azure IoT hub

vehicles' real-time data related to vehicle speed, engine coolant temperature & RPM, Trip Mileage/Fuel Consumption, hard acceleration/brake, and engine idle time can now be tracked for intelligent insights.


IoT Fleet Management solution

helps in taking intelligent actions quickly, to manage their fleet of vehicles effectively.

Backed by Azure,

the Fleet Analytics engine provides deep insights into driver performance, fuel usage trends & real-time vehicle tracking.

Predictive maintenance of vehicles

is made possible for Logistics customers; which also improves operational efficiency, thereby helps in maximizing business outcomes.

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