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ABOUT THE CLIENT
Ecologic.io is a dynamic technology startup offering an advanced fleet management system that combines safety, ecology, and corporate social responsibility. The company was founded after winning the Startup Fest Agora 2014 competition, and today it serves clients in Europe, Asia, and North America, supporting them in the digitalization and automation of fleet processes. Ecologic.io has achieved a leading position among comprehensive fleet software providers in Poland, regularly presenting its solutions at industry conferences and in fleet media.
Key
project elements
The Ecologic system is an advanced SaaS solution that transforms vehicle fleet management by combining driving style analysis, gamification, and artificial intelligence.
Implemented in organizations such as Unilever, PKO Leasing, and Philip Morris, it enables precise monitoring of driver behavior and generates measurable benefits in terms of safety, fuel consumption, and operational efficiency.
Thanks to the integration of telemetric data and personalized feedback, Ecologic not only streamlines fleet management but also tangibly changes the driving culture within organizations.
INITIAL REQUIREMENTS / CONSULTING
In its early development stage, Ecologic.io faced the challenge of finding a technology partner to help translate an ambitious product vision into a scalable and reliable enterprise-class solution.
After a series of proof-of-concept tests and initial pilot deployments, the startup needed a team that not only understands the complexity of Big Data projects but can also design an architecture capable of handling hundreds of thousands of telemetric devices operating in real time.
During the first conversation with the development team, the client clearly emphasized that they expect a strategic partnership, not just code execution.
The startup needed consulting on technology selection, cloud architecture (AWS), telemetric data processing models, and ensuring business continuity with a growing number of users and vehicles.
As a result, a product and technology partnership was launched, aiming to build a stable and scalable fleet platform from scratch.
The solution was designed to process data from thousands of vehicles in real time and create a stable foundation for Ecologic.io’s further expansion into international markets.
CHALLENGE / ANALYSIS
The biggest challenge in the project for Ecologic.io was the scale and throughput of telemetric data generated by OBD2 devices.
Every vehicle connected to the system continuously transmitted a massive amount of raw data — including speed, engine RPM, acceleration, braking, fuel consumption, diagnostic errors, and GPS position. With hundreds of thousands of active
A key determinant of the project’s success was for the system to be able to interpret and present the fleet manager with the most important insights about driving style and driver routes in under 1 second, regardless of whether a single trip or data from several months was being analyzed.
This meant the necessity to develop efficient data aggregation and indexing algorithms, capable of processing large volumes of information instantly while maintaining analytical precision.
An additional challenge was synchronizing data arriving with a delay, incomplete, or corrupted, which is typical for GSM-based telemetric environments.
The devices installed in the vehicles transmitted data at varying frequencies and under different network conditions, which required the implementation of anomaly detection, packet validation, and automatic reconstruction mechanisms for missing data fragments.
Let’s talk about your situation
Together with the Ecologic.io team, we defined a set of key technological and business goals that were to provide a competitive advantage and enable global product development.
High performance and scalability
Designing a Big Data architecture capable of processing millions of records daily while maintaining response times under 1 second for analytical queries of any time range.
Data resilience and consistency
Implementing mechanisms for automatic validation, reconstruction, and synchronization of data transmitted with a delay, in incomplete form, or corrupted during transmission from OBD2 devices.
Advanced analytical layer
Developing models aggregating data on driving style, routes, and vehicle technical parameters, allowing for real-time insight generation.
Security and regulatory compliance
Designing a Big Data architecture capable of processing millions of records daily while maintaining response times under 1 second for analytical queries of any time range.
Flexible cloud architecture
Utilizing AWS infrastructure with auto-scaling, data replication, and performance monitoring, enabling global system availability.
Solution description
For our client, we designed a complete, scalable ecosystem for processing telemetric data from thousands of vehicles in real time.
PROJECT DETAILS / IMPLEMENTATION
The AWS-based architecture enables the analysis of millions of events daily and the interpretation of results for the fleet manager in under 1 second.
Data from OBD2 devices goes to the central cloud, where it is automatically validated, cleansed, and synchronized — even in cases of delays or transmission gaps. The system uses Machine Learning to identify driving style, anomalies, and generate personalized recommendations for drivers.
The system has been secured with multi-layer protection (AES-256 encryption, GDPR, ISO 27001 audits) and operates in a SaaS model, featuring auto-scaling and continuous deployment of new features (CI/CD).
The result is an environment capable of real-time interpretation of telemetric data and presenting key decision-making information in a fraction of a second — regardless of the number of vehicles in the system.
FLEET MANAGEMENT SYSTEM
Web panel for fleet managers (React + SignalR) with full analytics and reporting
ANDROID / iOS MOBILE APP
Mobile applications for drivers (Kotlin, Swift) with individual driving style scores and gamification elements.
Results and business
impact
After 10 years of development and operation in a production environment, Ecologic.io maintains a reliability level of 99% SLA, handling data from hundreds of thousands of vehicles in real time.
The system has been repeatedly audited by independent pentesters, confirming a high level of security and GDPR compliance.
The platform analyzes over 800 types of road events, using Machine Learning algorithms for classification, driving style assessment, and risk forecasting.
Key operational data is interpreted in under 1 second, allowing fleet managers to make immediate, fact-based decisions.
Measurable deployment outcomes include:
- an 84% reduction in the number of damages,
- a drop in fuel consumption by 1.1 l / 100 km,
- an increase in driver engagement thanks to the reporting and gamification system.
Today, Ecologic.io is a stable and scalable fleet platform that combines Big Data analytics, machine learning, and the highest security standards in a single ecosystem.
Everything starts with a conversation
No sales pressure. With a full understanding of the TSL reality.