Building real-time visibility across global shipments
A global logistics company developed a hardware-enabled platform for real-time shipment tracking. We supported the software, analytics, and machine learning stack around the tracking solution, enabling configurable alerts, shipment intelligence, and large-scale visibility across global logistics operations.
About the client
A global logistics technology company developing hardware-enabled tracking solutions for monitoring shipments in transit.
The platform combined connected tracking devices with software and analytics capabilities to provide visibility into shipment movements and conditions. Because customers had different operational requirements, the system needed to support configurable sensors, dashboards, alerts, and reporting workflows.
Infocusp supported the technology stack around the tracking hardware across software engineering, analytics, machine learning, and UI/UX over a five-year partnership.
The business challenge
Real-time shipment tracking generates large volumes of data across different carriers, routes, customers, and device configurations. Turning this data into useful operational intelligence requires reliable software, flexible analytics, and interfaces that can adapt to different logistics workflows.
The client needed a platform that could accommodate customizable tracking hardware while providing accurate data, configurable alerts, and dashboards tailored to different customers.
Key Challenges
- Supporting flexible sensor configurations across tracking devices.
- Making device setup and deployment as simple as possible.
- Processing data from large numbers of shipments and carriers.
- Providing dashboards and reporting tailored to different customer requirements.
- Maintaining data accuracy despite power and hardware constraints.
- Turning shipment data into actionable operational insights.
- Creating configurable alerting workflows for different logistics requirements.
- Supporting increasing shipment volumes across global operations.
How we solved it
We supported the client across the full software and analytics stack surrounding its shipment-tracking hardware.
Over a five-year partnership, our work spanned UI/UX, frontend and backend development, machine learning, and data analytics. This enabled the tracking platform to move beyond basic location visibility toward configurable intelligence and operational decision support.
We also developed analytics capabilities capable of handling data from more than 100,000 shipments per day across more than 20 carriers worldwide.
A flexible alerting system allowed individual customers to define the conditions that mattered to their logistics operations, giving them control over when and how shipment events triggered notifications.
Solution Highlights
- Delivered UI/UX, frontend, backend, and machine learning capabilities.
- Built software around customizable shipment-tracking hardware.
- Developed analytics infrastructure for large-scale shipment data.
- Supported tracking of 100,000+ shipments per day.
- Enabled visibility across 20+ global carriers.
- Built dashboards and reporting capabilities for diverse customer requirements.
- Developed configurable shipment alerting and notification workflows.
- Enabled customers to define rules for when alerts should be triggered.
- Supported continuous product evolution through a five-year engineering partnership.
Business outcomes
Business Impact
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The resulting platform provided logistics customers with large-scale visibility into shipments and the ability to configure intelligence around the events most relevant to their operations.
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By combining connected hardware with software engineering, machine learning, analytics, and flexible alerting, the platform supported shipment monitoring at global scale while adapting to different customer requirements.
How might this challenge look in your industry?
Although this engagement focused on logistics and shipment tracking, the underlying challenge of connecting physical assets to software systems, processing high-volume operational data, and turning real-time signals into actionable alerts applies across industries with distributed assets and complex operations.
- Manufacturing
- Tracking equipment, production assets, and materials while using sensor data to identify anomalies and trigger operational alerts.
- Automotive
- Monitoring vehicles and components across manufacturing, distribution, and after-sales operations.
- Energy & Utilities
- Tracking distributed infrastructure and equipment while monitoring operational conditions and detecting anomalies.
- Retail
- Monitoring inventory movement across warehouses, stores, and distribution networks with real-time exception alerts.
- Healthcare
- Tracking medical equipment, temperature-sensitive products, and other assets across facilities and supply networks.
- Food & Beverage
- Monitoring shipments and storage conditions for temperature-sensitive products across complex supply chains.
- Telecommunications
- Monitoring distributed network equipment and field assets while identifying operational exceptions in real time.
- Agriculture
- Tracking equipment, environmental conditions, and agricultural inputs across distributed farms and supply networks.
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Facing a similar challenge?
Whether you're tracking shipments, equipment, inventory, vehicles, or other connected assets, we can help build the software, data, analytics, and machine learning systems required to turn operational signals into real-time visibility and actionable intelligence.
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