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

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.
