IFCO, a global leader in reusable packaging solutions for the fresh food supply chain, has unveiled TRLLN , a new standalone technology venture focused on delivering advanced asset tracking and supply chain visibility solutions for organizations managing large-scale, fast-moving asset networks.
Built to overcome the limitations of conventional tracking systems, TRLLN introduces an infrastructure-free approach that eliminates the need for fixed scanners, tracking gates, or extensive hardware installations throughout the supply chain. This enables businesses to deploy asset monitoring capabilities more quickly, efficiently, and cost-effectively.
“Every sector managing millions of moving assets faces the same issue. We found a way to solve it cost-effectively and at a scale that has not been achieved before.”
Delivering Real-Time Visibility Across Complex Asset Networks
TRLLN’s technology platform is designed to answer four critical questions that organizations face when managing large asset fleets:
- Where is the asset located?
- Is the asset in the correct condition?
- Has it reached the intended destination?
- What does its complete movement history reveal?
These features can be used in many different industries that depend on the tracking, use, and security of valuable assets to ensure their top-level performance.
Many industries are opening the way to using the platform for management of reusable and mobile assets such as pallets crates containers machinery spare parts, and other high-value resources. Global reach of potential use cases covers retail, consumer goods healthcare automotive, aviation construction logistics, parcel delivery, restaurant operations, and infrastructure services among others.
From TRLLN’s capability to deliver a deeper understanding of the flow and status of assets, businesses can experience a decrease in theft, enhanced inventory management, a more streamlined asset pool, effective cold-chain temperature monitoring, and alignment with the rise of initiatives like digital product passports.
Also Read: Daher and LeanDNA Standardize Supply Chain Execution Across Three Continents
Proven Technology Built on a Global Logistics Network
Initial concepts of TRLLN were developed and confirmed in IFCO’s extensive reusable packaging network. The technology is already being used in one of the world’s largest reusable packaging networks, which circulation over 400 million reusable packaging containers.
This large-scale deployment allowed IFCO to develop a very scalable and low-cost tracking solution, which combined active Bluetooth Low Energy (BLE) tags with AI-powered software analytics. So, the platform can now provide very accurate information on the location of assets, their patterns of movement usage as well as their condition via monitoring. By establishing TRLLN as a separate company, IFCO has made it possible for external businesses to take advantage of these features.
Besides using the platform through a user-friendly dashboard, organizations can also integrate the solution into their existing enterprise systems directly through an API.
“As a leader in fresh food logistics, we realized that the visibility challenge we addressed in our own network is relevant across industries. Every sector managing millions of moving assets faces the same issue. We found a way to solve it cost-effectively and at a scale that has not been achieved before,” says Mike Pooley, CEO of IFCO.
Addressing Costly Supply Chain Visibility Challenges
Global supply chains rely on millions of reusable assets moving between facilities, partners, and transportation networks every day. However, many organizations continue to struggle with limited visibility into asset movements, resulting in inefficiencies, operational disruptions, and significant financial losses.
Industry estimates suggest that asset loss and theft account for between $30 billion and $50 billion in annual costs worldwide. Traditional tracking technologies often require costly infrastructure investments and can be difficult to scale across distributed, multi-partner supply chains.
TRLLN was specifically developed to overcome these barriers through a Tracking-as-a-Service model that places intelligence directly on the asset rather than within physical facilities.
At the core of the solution is the Intelligent Node, a compact Bluetooth Low Energy tracking label roughly the size of a postage stamp. Powered by printed electronics and a proprietary chip design, the label travels with the asset throughout its lifecycle, continuously generating location and condition data.
The broader platform combines these connected devices with cloud-based software, managed connectivity services, and advanced AI analytics to deliver actionable insights across entire asset ecosystems. Customers access the solution through a subscription-based model that scales according to the number of assets being monitored.
Enabling Faster Deployment and Smarter Supply Chain Decisions
Unlike traditional asset tracking systems that depend on facility-based infrastructure, TRLLN’s approach allows organizations to gain visibility across supply chains without extensive implementation projects or operational disruption.
By embedding tracking capabilities directly into the asset, businesses can close critical visibility gaps that frequently occur between facilities, transportation hubs, and supply chain partners.
“Visibility gaps often appear between facilities, where traditional tracking systems are hardest to deploy,” says Dr. Sebastian Grams, CEO of TRLLN and Chief Digital Officer of IFCO. “TRLLN closes these gaps by moving intelligence to the asset itself. The solution is plug-and-play and designed for fast deployment. At the same time, it gives organizations the data they need to reduce losses, improve asset utilization, and manage complex supply chains more effectively.”
With its combination of scalable tracking technology, AI-driven analytics, and infrastructure-free deployment, TRLLN aims to redefine how organizations monitor, manage, and optimize critical assets across increasingly complex global supply chains.


