GWC Data.Ai

Improving Public Transport Efficiency

Real-Time Operations Dashboards

Client Context

Understanding the client’s operational landscape

Large Fleet Network

Client manages an extensive network of vehicles and routes across the region.

Service Reliability Focus

Leadership needed better visibility into fleet performance to maintain reliable service.

Static Reporting Challenge

Historical performance tracking relied on manual updates and static reports.

The Challenge

Operational inefficiencies were limiting service reliability and resource optimization

Scattered Data

Fleet usage and scheduling data were fragmented across multiple systems

No Central Dashboard

Lack of centralized visibility into real-time operations

Manual Reporting

Manual processes caused significant delays in decision-making

Limited Insights

Difficulty identifying underutilized vehicles and inefficient routes

Poor KPI Tracking

Limited ability to monitor operational efficiency metrics

Current State Metrics (Before Solution)

Reporting Cycle

Weekly

Instead of real-time

Data Quality

Fragmented

Inconsistent across systems

Route Optimization

None

No automated insights

Manual Work

High

Required for all reports

GWC's Solution

A comprehensive analytics solution designed for real-time operational excellence

Fleet Utilization Dashboards

Real-time tracking of vehicle usage across the entire network

Scheduling & Operations Views

Comprehensive insights into delays, route performance, and resource allocation

KPI Tracking

Monitoring key performance indicators like on-time performance and downtime

Executive Dashboards

High-level summaries with drill-down into route and vehicle-level metrics

Automation

Eliminated manual reporting through scheduled data refreshes

Solution Highlights

Real-time fleet monitoring and scheduling dashboards

Drill-down capabilities to analyze performance at route and vehicle level

Centralized dashboards for both operations managers and executives

KPI tracking for efficiency, reliability, and resource allocation

Automated refresh cycles for always up-to-date insights

DomoJupyter

Technology Stack

PDFETL Tools

Domo

Dashboards & Visualization

PDF

Data Integration from Fleet Systems

ETL Tools

Data Cleaning & Automation Pipelines

Business Impact

Measurable improvements across operations, customer experience, and strategic positioning

Before vs. After

Reporting Cycle

Before

Weekly

After

Real-time

Near-instant insights

Fleet Utilization

Before

Suboptimal

After

Optimized

Reduced vehicle underuse

Scheduling Decisions

Before

Manual

After

Data-driven

Improved accuracy

Operational Impact

  • Reduced reporting cycle from weekly → near real-time
  • Improved fleet utilization and reduced underuse of vehicles
  • Better scheduling decisions with data-driven insights

Customer Impact

  • Increased service reliability with improved on-time performance
  • Improved resource allocation reduced delays
  • Enhanced passenger experience through better service

Strategic Impact

  • Established a data-driven decision-making culture in operations
  • Positioned Parisar as a modernized, efficiency-focused provider
  • Created foundation for continuous operational improvement

Key Transformation Achievement

Successfully transformed Parisar from a manually-tracked operation to a data-driven, real-time management system, establishing a foundation for continued operational excellence and customer service improvements.

GWC DATA.Ai