From temperature monitoring to supply chain control: How IoT can reduce fresh food waste

In the supply chain of fresh, plant-based produce, temperature is not a detail — it is a decisive factor for quality, shelf life, and margin. A deviation of just a few degrees can accelerate ripening, reduce product quality, or even result in full rejection. Yet in many fresh produce supply chains, structural, cross-chain temperature monitoring is still lacking.

A recent PhD study, conducted by Stack&Track’s Anna Lamberty PhD – in cooperation with Hochschule Geisenheim University – on the development of a generic implementation concept for cross-chain IoT-based temperature monitoring shows that the technology is available — but successful implementation requires far more than simply placing sensors in shipments. The findings are highly relevant for organizations working on digitalization, quality assurance, and sustainability in fresh produce supply chains.

You can read the full thesis here: https://opus4.kobv.de/opus4-hs-geisenheim/files/118/Dissertation_Lamberty.pdf

The complexity of fresh produce

Fresh fruit and vegetables are not a homogeneous product group. They differ significantly in their spoilage kinetics and sensitivity to environmental factors such as temperature, relative humidity, ethylene, CO₂ and O₂ concentrations, and vibration during transport.

In particular berries leafy vegetables, climacteric fruit (such as avocados and bananas) and chilling-sensitive products are especially vulnerable to temperature fluctuations.

This means that generic cooling strategies are often insufficient. Without insight into what actually happens during transport and storage, quality losses remain invisible — until the moment of rejection.

IoT technology: promising, but not automatically effective

The study combined literature research with practical testing in four different supply chains. The evaluation focused on:

• Data transmission reliability
• Temperature accuracy
• Location accuracy
• Battery life
• Sensor sustainability

The conclusion is nuanced: suitable IoT technology is available, but the variety of solutions is extensive. This makes it challenging for supply chain actors to select the right option. In practice, improvement needs were identified regarding data reliability, measurement accuracy, and the sustainability of sensors.

In short: technology alone does not solve the problem. It requires an integrated implementation strategy.

A generic implementation concept as a blueprint

Based on field analysis and stakeholder interviews, a generic implementation concept was developed. This concept describes not only the technical requirements, but also the process-related and organizational conditions necessary for success.

Key elements include:

• Clear performance requirements for sensor accuracy and data transmission
• Integration into existing logistics workflows
• Defined agreements on data use and responsibilities
• Sustainable reuse of hardware

The concept was validated in a real-world pilot. The outcome: implementation is operationally feasible — provided it is carefully prepared and aligned with the specific supply chain context.

The business case: when does temperature monitoring pay off?

An essential question remains: what is the financial return?

The cost-benefit assessment shows that IoT-based temperature monitoring can lead to:

• Reduced product losses
• Improved quality assurance
• Direct monetary savings

However, the return on investment depends on several factors:

• The product type
• The selected IoT technology
• Packaging format
• How data is used in decision-making
• The frequency of hardware reuse

One crucial insight from the study is that sustainable reuse of sensors significantly strengthens the business case. If hardware is discarded after a single cycle, costs per shipment increase rapidly. When sensors are systematically reused, financial benefits increase substantially.

From data collection to actionable insights

Collecting temperature data is only the first step. Real value is created when data is translated into actionable insights.

For example:

• Identifying structural temperature deviations on specific routes
• Optimizing cooling settings per product category
• Objectively resolving quality claims
• Improving inventory decisions based on actual temperature exposure

This is where temperature monitoring connects to broader supply chain digitalization. Without integration into existing systems and dashboards, data remains fragmented and underutilized.

The link with circular supply chains

At Stack&Track, we see daily how limited visibility leads to inefficiencies, losses, and administrative friction — particularly with reusable transport items (RTIs). The same principle applies to product quality: without chain-wide transparency, optimization remains siloed. Digital supply chain transparency rests on three pillars:

• Visibility of assets
• Visibility of product condition
• Visibility of performance across the entire chain

Where IoT-based temperature monitoring provides insight into product quality, digital tracking of reusable packaging ensures control over assets, reduces losses, and minimizes administrative burdens. Together, they reinforce each other.

However, unlocking their full value requires a digital infrastructure that connects these data streams. Temperature data from IoT sensors needs to be linked with logistics data — such as the movement of reusable transport items, locations, and product flows. Platforms like Stack&Track enable this connection, creating a shared digital layer where asset tracking, product traceability, and condition monitoring come together to provide actionable insights across the supply chain.

By bringing data from multiple sources together on one digital platform, true supply chain control becomes possible: less waste, higher quality, and a stronger business case for sustainability.

From measuring to managing

The key lesson from this study is clear: technology creates value only when strategically implemented.

Successful deployment requires:

• Clear objectives
• Stakeholder alignment
• Seamless integration into existing processes
• Structural attention to sustainability

IoT-based temperature monitoring should not be treated as a standalone project, but as part of a broader digital transformation strategy.

For organizations active in the fresh produce sector, this presents a clear opportunity: by integrating product condition monitoring with circular asset tracking, full supply chain visibility becomes achievable. And that is where efficiency translates into both financial and sustainable returns.

The question is not whether IoT monitoring can add value. The question is how to integrate it intelligently into your supply chain — so that data does not just measure, but truly drives performance.