Case Studies

Case Study on Revolutionizing fleet data analytics: automated data insights & adaptive KPIs

iASYS has designed an advanced data management system that collects, integrates, and stores fleet data. This resulted in fast data collection, preprocessing, error reduction, and data-driven decision-making.

Transport Fleet Performance Data Analytics

Use case: – Digital twin synchronization using measurement data.

Goal: – Data import, standardization & analysisprocess automation.

Challenges: – Engine testing complexities, diverse data, manual entry errors, sequential analysis inefficiencies, and adapting to new KPIs challenge efficiency and standardization.

Solution :- Imported diverse truck data, applied KPIs with analysis windows, developed Python-based algorithms on BRIX lite for daily insights, and executed KPI-driven operational analytics.

Results :- Optimized data workflow, automated KPI analysis for consistent insights, and ensured adaptability to evolving KPIs for ongoing performance enhancement.

Download Case Study for More Information

Share the Post:

Why the BRIX Platform Is Essential for High-Volume EV Battery, Engine, and Vehicle Testing

The automotive industry is evolving at an unprecedented pace. Electrification, connected vehicles, software-driven architectures, and stricter regulatory requirements are fundamentally

CASE STUDY: UNIVERSAL EV POWERTRAIN TEST RIG

This case study highlights how iASYS delivered a Universal EV Powertrain
Testrig for a leading Japanese OEM, enabling validation of multiple
drivetrain Units Under Test (UUTs) on a single, integrated test platform. By
combining mechanical driveline systems, high-performance dynamometers,
Orbit-T–based automation, and fast, synchronized data acquisition, the
solution addressed increasing validation complexity across conventional
and electrified powertrains. The integrated test infrastructure improved
testing flexibility, reduced capital expenditure, simplified operations, and
ensured accurate, repeatable Road Load Simulation (RLS) for both
component-level and powertrain-level testing. This future-ready platform
supports EV motors, CVTs, transmissions, and differentials while delivering
high-fidelity real-world load reproduction across a wide operating envelope.