
A complex truck temperature optimization solution for the logistics industry
100%
goods preservation rate
2x
quicker decision-making
+34%
annual revenue growth

IT-service type
Custom software developmentBusiness vertical
LogisticsTech stack
Java, JavaScript, React.js, HTML, CSS, Python, AWS, Docker, Kubernetes, IoT protocols, ML
A prominent Eastern European food logistics company specializing in transporting perishable goods, particularly berries.
Our partner wanted the improved software for their needs. The main pain points included:
Lack of continuous temperature control.
No real-time visibility into cargo conditions.
Manual and delayed temperature adjustments.
Limited integration with existing logistics systems.
Lack of actionable data for optimization.
Unprotected IoT data.
Poor usability for operational teams.
A real-time monitoring system for temperature conditions
Seamless integration with the existing logistics framework
Centralized system for collecting and managing temperature data from all trucks
A user-friendly interface for monitoring and control
Algorithms for adjusting temperature based on external weather factors
Security measures to protect against data breaches
The data shown in this application interface during the case demonstration is not real customer data. All information presented is for demonstration purposes only.
1
Project manager
1
Business analyst
1
Tech lead
1
DevOps engineer
1
UX/UI designer
1
IoT solution architect
4
Full-stack engineers
2
QA testers
1
Embedded systems engineer


Facing similar challenges in transporting goods?
Book a call with Modsen to discuss how we can improve control, reliability, and efficiency across your logistics operations.
We began by closely examining the partner’s logistics operations and the full transportation cycle of perishable goods.
At this stage, we defined clear functional and business requirements, integration points with existing logistics platforms, and security standards for IoT data. This allows us to identify potential risks early, avoid unnecessary development costs, and design a solution that fits the real operational environment of the logistics industry.
The user interface was designed for logistics managers and operational teams who work under time pressure. We researched users, business goals, and logistics scenarios to design interfaces tailored for time-critical operations.
Through early prototyping, the partner can see how the product will look and work from the start. Clear design guidelines and unified standards ensure consistency, while measurable UX results help reduce reaction time and improve daily operations.

We developed a custom IoT system that continuously monitors temperature inside truck containers and automatically adjusts it based on external weather conditions. The solution was securely integrated with the partner’s existing logistics infrastructure and built on scalable cloud architecture to support fleet growth and peak load periods.
Reliability, data accuracy, and system stability were key priorities throughout development.
We manually and automatically tested the solution across real logistics scenarios to prevent costly issues after release. Security, compliance, data accuracy, and system stability were verified multiple times to ensure safe and reliable operation under real transportation conditions.
Before full deployment, the solution was tested in conjunction with the partner’s team during demonstration operations. Based on their feedback, we refined workflows and interfaces to fully match daily logistics processes.
After launch, Modsen continued supporting the system with monitoring, security updates, and performance optimization. The team also handled adjustments to new compliance rules and business changes, keeping the platform reliable and up to date without interruptions.
Real-time monitoring with automated adjustment
Increased 100% reservation rate of perishable goods during transportation
About 40% reduction in product spoilage and rejected deliveries
Lower financial losses and improved partner trust

Unified interface for operational control
Faster response to critical temperature deviations (2x quicker decision-making)
About 50% reduced operational errors caused by manual monitoring
Improved planning and control for logistics teams

Cloud-based infrastructure with protected data transmission
Zero critical security incidents reported during operation
100% stable performance during peak transportation periods
Scalable foundation ready for fleet and business growth
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