Case Study

Logistics & Field Operations Dashboard Suite

Real-time operational analytics platform enabling route performance tracking, SLA compliance monitoring and workforce utilisation management.

Overview

The client operated large distributed logistics teams handling daily field routes and asset usage. Reporting existed but was manual, fragmented and unsuitable for real-time decisions.

Challenges

  • No consolidated SLA tracking across routes
  • Manual Excel-based operational reporting
  • No standard KPI framework for utilisation & delays
  • Delayed leadership-level visibility
Logistics Operations
Project Snapshot

Industry: Logistics & Operations
Scope: BI dashboards & data modeling
Users: Operators, Managers & Executives

KPI Coverage

SLA Adherence

On-time deliveries, compliance percentages, breach monitoring.

Route Performance

Route efficiency scoring, average travel times, stop variance.

Utilisation

Vehicle usage, workforce activity tracking and idle time analysis.

Solution

Cubegle implemented a modern analytics layer consolidating operational data from source systems into a central warehouse feeding self-service dashboards.

Key workstreams
  • KPI framework design across operations
  • Central fact-table modeling
  • ETL automation & near-real-time refresh
  • Power BI dashboard development
  • Role-based access configuration

High-Level Architecture

Data sources flowed into a cloud warehouse which powered a governed analytics semantic model for dashboard delivery.

View architecture flow
Source systems → ETL ingestion → Cloud DWH → Power BI semantic models → role-based interactive dashboards
Technology Stack
Operational DB ETL Pipeline Cloud DWH Power BI

Business Impact

  • Near real-time operational oversight
  • 30–40% faster issue escalation resolution
  • Consistent leadership KPI reporting
  • Reduced manual reporting workload
Use Case Fit

Suitable for companies with delivery routes, field teams or asset-heavy operations seeking high-visibility dashboards.