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

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