Kruzer: Automating Transport Operations with End-to- End Digital Logistics Solution

Kruzer Hero Image

About The Project

Boopro Technology partnered with Kruzer Logistics to design and deliver a comprehensive web-based logistics management platform that automates their end-to-end operational workflow — from order intake to invoice generation. The engagement began with a full business analysis phase, where Boopro led the translation of Kruzer's operational vision into a structured delivery blueprint, producing the Statement of Work and complete project specification that guided development from start to finish.

The platform integrates with TLN Planner for precise route and toll calculations, automates CMR document management with photo uploads, handles complex job costing with driver and subcontractor assignments, and generates professional invoices automatically based on completed routes and services.

Project Details

Company Type
Transport & Logistics Provider
Engagement Type
Custom Logistics Management Platform Development
Methodology
Agile
Budget
9-9.5k$
Duration
2 months

Scope

  • Order Management System: Automated intake, status tracking, and
    centralized order repository.
    Route & Cost Engine: Integration with TLN Planner API for precise,
    automated calculation of distances, tolls, and route segments
    (Export/Empty/Import).
  • Job Costing: Assignment of drivers/subcontractors with detailed cost
    breakdowns (fuel, tolls, equipment, labor).
  • Automated Invoicing: One-click generation of professional PDF invoices and
    weekly truck performance reports.
  • CMR Management: Digital upload, validation, and storage of transport
    documents.
  • Analytics Dashboard: Real-time reporting on revenue, costs, and profit
    margins.

Approach & Solution

Technical Strategy: We prioritized the TLN Planner integration to ensure data accuracy for all downstream financial calculations. The architecture is modular, allowing independent scaling of invoicing and routing engines. AI-Assisted Development: To optimize the budget and timeline, we utilized an AI-assisted development model (GitHub Copilot/Cursor). This approach reduced coding time by 30%, allowing us to deliver the full solution in just 8 weeks instead of the traditional 12, without compromising on testing or quality.

Outcome

  • Operational Efficiency Gains: Weekly administrative workload dropped from 15-
    20 hours to just 2-3 hours, freeing staff for high-value tasks.
  • Improved Data Accuracy: Automated calculations eliminated manual errors,
    ensuring accurate billing and significantly reducing disputes.
  • Real-Time Business Visibility: Instant access to active orders and revenue
    forecasts enables proactive, data-driven decision-making.
  • Professional Customer Experience: Prompt, accurate invoicing improves the
    company image and strengthens client relationships.
  • Scalability for Growth: The system supports 3-5x order volume growth without
    requiring additional administrative staff

Business Impact

  • Digital Transformation: Successfully transitioned from manual, spreadsheet-
    based operations to modern, integrated digital platform, positioning Kruzer
    Logistics as a technology-forward transport provider.
  • Cost Optimization: Real-time cost visibility and analytics enable identification
    of unprofitable routes and cost-saving opportunities, directly improving
    bottom-line profitability.
  • Competitive Advantage: Operational efficiency gains and professional
    customer experience differentiate Kruzer Logistics from competitors relying
    on manual processes.
  • Growth Enablement: Scalable platform architecture supports business
    growth ambitions without operational bottlenecks or proportional cost
    increases.
  • Data-Driven Strategy: Comprehensive analytics provide strategic insights
    previously unavailable, enabling informed decisions on pricing, route
    selection, fleet composition, and market expansion.

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