By Giampaolo Marino, Chief Strategy and Growth Officer, Energous
2025’s wave of foodborne outbreaks exposed a cold chain visibility gap. Most failures happened silently in the handoffs between systems, long before contamination was detected.
Ambient IoT enables continuous, real-time temperature monitoring across the cold chain, replacing reactive spot-checks with proactive, data-driven control.
Preventing recalls, reducing waste, and meeting tightening regulations (like FSMA 204) make continuous cold chain visibility a strategic imperative, not just a compliance checkbox.
This past year has been a stark reminder of how quickly cold chain failures can turn into public health crises. In 2025 alone, U.S. regulators investigated more than 30 multistate foodborne illness outbreaks, spanning everything from infant formula, eggs and frozen vegetables to cucumbers and mini pastries. Each incident disrupted supply chains, triggered recalls, and raised urgent questions about where safety controls failed before contaminated or compromised products reached consumers.
These incidents share a common thread: by the time spoilage or contamination was discovered, the damage was already done. Foodborne illness outbreaks rarely originate at a single catastrophic point of failure. Instead, cold chains can fail quietly in the gaps between systems – during handoffs, overnight in back rooms, or while products sit just beyond safe temperature thresholds. In those moments, bacterial growth accelerates invisibly, and risk compounds long before an inspection or alert occurs. What looks like a quality issue or compliance lapse often traces back to the same root cause, a lack of continuous visibility.
Food supply chains have spent decades optimizing transport, storage, and handling. Yet temperature monitoring remains surprisingly fragmented. Many operations still rely on manual logs, periodic sensor checks, or point-based RFID reads that capture conditions only at specific moments. These tools can confirm that a pallet was compliant, but they offer little insight into what happened in between checkpoints. The blind spots are where losses accumulate, and where food safety risk piles up.
From compliance checks to continuous intelligence
Traditional cold chain monitoring treats temperature as a compliance requirement rather than a source of operational intelligence. Each transition, from truck to distribution center to store shelf, creates a window where conditions can degrade without detection. Manual logs depend on human consistency in environments where consistency is difficult to maintain. Point-in-time scans capture moments, not patterns.
Continuous visibility changes that operating model entirely. With ambient IoT, battery-free Bluetooth Low Energy (BLE) tags draw power from wireless power networks (WPNs), supporting temperature sensing that is persistent rather than periodic. Sensors remain active throughout facilities and across networks, reporting conditions in real time without manual intervention. Instead of waiting for a scheduled check or a downstream alert, operators gain immediate awareness when temperatures drift outside acceptable ranges.
The difference is not incremental, it is structural. Continuous data reveals patterns that point-based measurements never capture. It shows where transitions are most vulnerable, how long products spend in marginal conditions, and which locations consistently operate closest to risk thresholds. This insight is critical for preventing the kinds of systemic failures that lead to everything from isolated spoilage events to widespread foodborne illness outbreaks. Plus, it enables intervention while there is still time to act.
This capability is increasingly relevant in the context of FSMA 204, which will soon make faster, more granular traceability a regulatory requirement. Even as compliance timelines shift, the operational implications are clear. Continuous temperature data supports audits, accelerates investigations, and narrows the scope of corrective actions. When conditions are documented continuously, companies no longer need to rely on conservative assumptions that lead to unnecessary waste. When food safety incidents do occur, precise condition data can mean the difference between a targeted response and a broad, brand-damaging recall.
Changing behavior, not just reporting
At a higher level, Ambient IoT reshapes how cold chains are run day to day. When temperature data is available in real time, decisions are no longer delayed or debated. Teams across stores, distribution centers, and quality functions see the same conditions at the same time, reducing ambiguity and shortening response cycles. That shared visibility is especially critical when safety is at stake, enabling faster escalation before products become unsafe for consumption.
This is also why cold chain monitoring has emerged as one of the most natural entry points for Ambient IoT. The return on investment is immediate and measurable. Waste reduction alone can justify deployment, particularly in high-volume environments where even small temperature deviations compound quickly. But the larger value lies in prevention: avoiding recalls, regulatory scrutiny, and the reputational damage associated with food safety incidents. Even modest improvements in temperature control translate directly into recovered margin and lower recall exposure.
That consistency carries material brand value. Consumers rarely distinguish between a supply-chain failure and a brand failure. Continuous visibility strengthens quality assurance and compliance by grounding decisions in verified conditions rather than assumptions.
Making continuous visibility the industry standard
Food operations do not need more systems; they need better information flowing into the systems they already trust. Continuous temperature visibility improves the quality of operational decisions by reducing latency and uncertainty where risk is highest, providing a proactive defense against food safety failures.
As this visibility becomes more common, expectations will shift. Just as real-time inventory visibility has become table stakes in retail, continuous condition monitoring will become the baseline for food operations that prioritize freshness and safety. Companies that adopt early gain not only cost savings, but greater confidence in their ability to manage risk proactively, before incidents become headlines.
Cold chains rarely fail because teams lack expertise or effort. They fail because information arrives too late. By making temperature data ambient, persistent, and actionable, the industry can move from reacting to losses toward preventing them altogether.
The future of food safety will not be defined by better reports or tighter thresholds. It will be defined by infrastructure that makes the state of the cold chain visible at all times. When visibility becomes continuous, freshness, quality, and safety stop being outcomes of good fortune and become the result of disciplined, real-time control.
Giampaolo Marino, Chief Strategy and Growth Officer at Energous, leads strategic growth and market expansion in wireless power and Ambient IoT. With over two decades of global leadership across the semiconductor and IoT industries, he has a strong track record of driving innovation, scaling business operations, and forging high-impact partnerships.
