Unified Logistics Platform

for a National 3PL Operator

Industry: Logistics & 3PL

Location: Ukraine

Timeline: 9+ year partnership

Platform: Web-based OMS

What the client received

98%

Deliveries in top cities hit their scheduled window

<40 min

Time it takes to plan a day's deliveries

9 yrs

Of stability in our partnership and support

Client Background

The client is UVK, a major third-party logistics (3PL) operator in Ukraine, providing daily warehousing and transportation services for retail businesses. UVK manages scheduled deliveries across the city, handling thousands of orders every day. One Logic Soft has partnered with UVK for 9 years, delivering ongoing development and continuous support for its logistics systems.

Challenge

Dispatchers allocated cargo by hand

Trucks sat waiting while someone worked out who got what - every idle hour cost money
The old portal ran on outdated processes

Profit leaked out quietly, and it wore down client relationships
Deliveries slipped past their windows

FMCG clients build their whole business around exact timing - a late truck isn't a small thing for them

How much did last month's idle trucks actually cost you?

Most 3PL operators can't answer that question - because nobody's tracking it. If manual allocation is still deciding which truck goes where, that number is bigger than you think, and it's growing every month you don't fix it.

Schedule a 30-Min Call

Solution & Approach

We built a web-based Order Management System covering UVK's full logistics cycle, from cargo intake to last-mile delivery, allowing the client to replace manual planning with automated, data-driven operations across the business.

Platform:
Web-based Order Management System
Engagement Model:
Time & Material
Delivery Approach:
Kanban
Team:
2 Backend Devs · Solution Architect · Frontend · QA · DevOps · PM

Technology:

Laravel
PHP
Angular
Java
TypeScript
1C
Google Maps API

Key elements of the solution:

Order processing runs on its own - no more manual entry
One module handles the entire document flow
Addresses get verified automatically through Google Maps
Fleet scheduling and transportation planning in one view
A consolidation algorithm groups cargo without a dispatcher touching it
QR codes and sticker printing built into the warehouse workflow
A mobile app pushes SMS notifications to drivers and clients
Connected to 1C and other third-party systems out of the box

How it actually got built

Modernized the logistics platform
Moved the legacy portal to a modern Laravel + Angular stack, creating a more reliable foundation for ongoing development.
Built core logistics automation
Developed the cargo consolidation algorithm and trip-planning modules from the ground up, reducing manual work and improving operational efficiency.
Automated data and address validation
Digitized operational data and automated address checks to reduce errors and improve data accuracy.

Results & Business Impact

Operational Impact:

98% of deliveries in UVK's top cities now meet their scheduled time windows
Delivery planning time dropped to under 40 minutes
Automated distribution of orders eliminated the losses previously caused by manual cargo allocation.

Business Impact:

The new system reduced vehicle standstill losses and improved fleet utilization
Increased customer satisfaction, and strengthened trust with FMCG clients who depend on time-sensitive delivery
Lower support costs freed up budget for further, scalable development

Partner Value

This case shows how One Logic Soft turns a nine-year logistics partnership into measurable operational gains for UVK, combining deep systems integration, continuous iterative delivery, and a forward-looking roadmap that keeps the platform scaling as the business grows

Deep System Integration Connected tightly with UVK's accounting and transport systems
Automated Document Flows Cut manual work and delivered ROI almost immediately
Continuous Iterative Partnership Nine years of ongoing support and improvement
Forward-Looking Roadmap AI forecasting, blockchain tracking, and real-time route optimization ahead