The Era of Cold Chain as a Profit Driver: Turning Temperature Data into Customer Value in Food Logistics

Target Audience: Executives, site managers, plant managers, quality assurance managers, and administrative staff at Japanese companies involved in food manufacturing, processing, logistics, and sales in Thailand and ASEAN.

For a long time, cold chain has been described as “costly infrastructure.” Maintenance of refrigeration and freezing equipment, temperature control during transport, and contingency planning for power outages — for companies handling food products, these were often treated as unavoidable expenses that eat into profit. However, as of 2026, this dynamic is beginning to change.

The technology to record and manage temperature data in real time has dropped to a cost level accessible at the operational level. Buyers and mass retailers are now seriously demanding quality traceability, and visualizing food waste losses has become part of management decision-making. The shift — from “maintaining the cold chain” to “differentiating through cold chain data” — has become the key to protecting profit margins and winning customer trust within limited investment budgets.

This article organizes the on-site challenges facing Japanese food-related companies based in Thailand, and explains specifically how to link temperature data, lot management, and yield tracking to profitability, drawing on perspectives TOMAS TECH has observed in the field. The World Bank is cautious about Thailand’s 2026 growth outlook, and in an environment of continued external uncertainty, the approach of “reducing losses” rather than “growing sales” is increasingly becoming a direct management priority.

1. The Current State of Thailand’s Food Industry: Challenges Site Managers Face in 2026

Thailand is one of Southeast Asia’s leading food export nations and holds an important position as a local procurement and manufacturing base for Japanese food manufacturers and processors. However, in 2026, the operational reality is compounded by pressures unlike those of the past.

Labor Costs and Recruitment Difficulties
Thailand’s minimum wage continues to rise incrementally, making it increasingly difficult to secure personnel for routine tasks on food processing lines. Moreover, individuals with knowledge of Japanese language and quality control are even scarcer, and technical knowledge transfer to local staff is rarely straightforward. The complaint that “when a veteran employee leaves, no one knows how to maintain quality records” is especially common in food factories.

Increasingly Stringent Quality Requirements
Quality audits from major retail chains, Japanese supermarkets, and export buyers have become more rigorous, with growing demands for submission of temperature histories, lot traceability records, and foreign matter incident response documentation. The days when “we record issues on paper” was sufficient to pass an audit are coming to an end.

Persistently High Energy and Logistics Costs
Power consumption by refrigeration and freezing equipment has a significant impact on food factories’ cost structure. Operating cooling equipment without monitoring its operational status in a high-energy-cost environment is a management risk. Cold chain logistics costs — refrigerated trucks and storage — are also trending upward.

Food Waste and Disposal Costs
Mismanagement of best-before and use-by dates, quality deterioration due to temperature excursions, and waste from overproduction — these tend to be treated as issues discovered only after they occur, yet they accumulate into substantial annual losses. In many operations, disposal costs are not accurately captured as part of daily cost of goods.

2. Taking Inventory of “Hidden Losses” in the Cold Chain

When cold chain management improvements are proposed, the response is sometimes: “We haven’t had any particular problems.” However, “no problems have surfaced” and “no losses are occurring” are two very different things.

Below are common categories of “hidden losses” seen in food factories and logistics operations.

Each of these losses may appear to be a “minor issue,” but accumulated over a year, they steadily erode the profit margins of food factories. Precisely because they are “invisible,” no action is taken.

3. Transforming Temperature Data from “Records” to “Management Assets”

Temperature management has traditionally been discussed primarily in a defensive context — “staying within specifications” and “passing inspections.” However, by continuously and automatically collecting temperature data and linking it to lot information, an entirely different form of value emerges.

Proof for Customers
Evidentiary data demonstrating that “this product was consistently managed at the specified temperature from manufacturing through delivery” directly supports trust-building with buyers and mass retailers. Paper records take time to submit and offer limited assurance of data continuity, but temperature logs automatically recorded via IoT sensors and a system can be submitted immediately and accurately. This becomes a genuine differentiator.

Basis for Insurance and Risk Management
When a temperature excursion occurs, being able to show data on “when, in which segment, and to what degree the excursion occurred” helps establish the scope of responsibility. It substantially reduces the risk of being left without evidence in the event of a transport incident or quality complaint.

More Informed Disposal Decision-Making
When a temperature excursion occurs, the reason an entire lot must often be discarded is that the scope, severity, and duration of the excursion are unknown. With temperature history data, decisions such as “the excursion lasted 2 hours, up to +2°C above the limit — assessed as within quality standards, cleared for shipment” become possible with a clear basis, preventing unnecessary disposal losses.

Energy-Efficient Operation of Cooling Equipment
Combining temperature logs with operational data surfaces improvement opportunities such as “there are periods at night when cooling runs unnecessarily low” or “a specific refrigerator has a high frequency of door openings.” Energy-saving improvements are also an area that tends to be favorably evaluated in the context of BOI applications.

4. Lot Management and Quality Traceability: The Power of Connected On-Site Data

In food manufacturing and processing environments, the majority of companies will say “we do lot management.” However, when you examine how far the data is actually connected, the reality is often fragmented.

Common situations:

• The lot number recorded at raw material receiving is documented in a paper ledger but is not linked to the lot number after processing
• Shipping records are managed in a separate system (or Excel), and matching them to production lots requires manual effort
• When a complaint arrives, determining “which raw material lot the problem product came from” takes two to three days
• Temperature records, inspection records, and shipping records exist in separate files and cannot be viewed together in a single screen

This is not a case of “not doing lot management” — it is a state of “lot information not being connected.” The difference is significant: in the latter case, response speed to food safety incidents and quality complaints is dramatically slower.

Simply put, end-to-end lot information linkage is traceability. True traceability means data is connected from raw material receiving through processing, quality inspection, inventory, and shipment under the same lot number (or related lot numbers). When this is achieved:

• Identification of the source lot at the time of a complaint is completed in minutes
• The scope of any recall can be minimized (limited to the relevant lot, with distribution destinations identifiable)
• Preparation of audit documentation is dramatically shortened
• Root causes of quality variation between processes can be traced through data

5. Visualizing Yield Changes the Way Costs Are Managed

In food manufacturing, “yield” is a metric that directly impacts profitability, yet it is often not accurately tracked on the floor. While a rough sense of “around 80%” may exist, few companies record and analyze yield by process, by lot, and by time period.

What happens when yield is not visible:

• Cost estimates at the time of quoting and order acceptance vary (weak basis for profit margins)
• Processes or operators with low yield cannot be identified, making improvement measures impossible
• Monthly cost analysis cannot explain “why the cost ratio has increased”
• Reports to the Japan headquarters cannot demonstrate “the cause of increased disposal” with process data

By systematically recording yield at the process level and enabling analysis by combinations of lot, operator, machine, and raw material, it becomes possible to answer questions such as “which process generates the most loss” and “does yield decline with a particular raw material lot” with concrete figures. This extends beyond quality improvement to impact cost management, order acceptance decisions, and product design improvements.

6. Structuring Cold Chain and DX Investments Using BOI

The Thailand BOI (Board of Investment) offers various incentives for investments that include automation, AI, data analytics, and corporate management IT. System investments related to upgrading cold chain management may also qualify for BOI applications, provided the requirements are met.

The critical point here is not to “think about BOI application after the fact,” but rather to “incorporate BOI from the investment planning stage.” In many companies, the sequence is to decide on the investment first and then “check whether a BOI application is possible” — but this often results in specifications that do not meet application requirements, or insufficient documentation.

Key points when targeting BOI incentives for cold chain and quality management DX investments:

• Verify in advance whether the investment falls under application categories such as “energy-saving equipment,” “advanced manufacturing technology,” or “digitalization”
• Document the investment amount, equipment specifications, and expected outcomes (energy reduction rate, productivity improvements)
• Coordinate with a partner or specialist who can support preparation of application documents in Thai
• When explaining to Japan headquarters, present a 3-year payback calculation using “actual investment cost after tax incentives”

7. Decision Criteria: Investments to Pause vs. Investments to Advance

In the 2026 economic environment, food companies are making investment decisions with greater caution than usual. While the inclination to “wait and see” or “defer to next year’s budget” is growing, losses continue to accumulate in the meantime. Here we organize the framework for deciding what to pause and what to advance.

One reason food factories hesitate to move to digital cold chain management is that “the initial investment is large and difficult to explain to headquarters.” However, if you can build a track record of disposal loss reduction through a small start and present the results in numbers, approval for broader rollout becomes much easier to obtain.

8. Common “DX Failure Patterns” in Food Factories and How to Avoid Them

There are consistent patterns when system implementations in the food industry fail to take hold on the floor. Knowing them in advance allows you to avoid many pitfalls.

Failure Pattern 1: The system becomes “a system for management”
Quality management and temperature recording systems are perceived as “only adding to floor staff workload,” and records become a formality. Prevention: Prioritize designing features that floor staff experience as “this system made my job easier” — alert notifications, automatic recording, and reduced effort for inventory checks — from the very beginning.

Failure Pattern 2: Left to the vendor, the floor can’t operate it
The system runs with vendor support at the start, but when a problem arises six months later, no one knows how to operate it. Prevention: Designate one in-house “system administrator,” and have that person learn operations, configuration changes, and troubleshooting from the implementation stage. Thai-language documentation also helps significantly during handover.

Failure Pattern 3: Data is being collected but there is no culture of “looking at it”
Temperature data collection via sensors has begun, but no one monitors the screen and anomalies go unnoticed. Prevention: Decide at the time of implementation “who reviews which data, when, and how.” Simply establishing the habit of bringing data into a weekly review meeting can make a dramatic difference.

Failure Pattern 4: Only part of the process is covered, and the overall picture is missing
Temperature management is implemented for the refrigerator, but transport temperature after shipment is not captured — and when a complaint occurs, the evidence trail is incomplete. Prevention: Design coverage by cross-referencing “what temperature evidence is required from which point to which point” against buyer requirements. Determine the minimum segment that must be covered before trying to cover everything.

Failure Pattern 5: The reporting format to headquarters does not change
The floor is collecting data, but the monthly report to the Japan headquarters remains in its traditional paper-and-Excel format. The result is double data entry on the floor, leading to frustration of “why did we even implement a system?” Prevention: Update the reporting format for headquarters to a data-linked format at the same time as the system is implemented.

9. Reducing Failure Risk Through Phased Implementation: A 3-Step Approach for Food Factories

When people hear “digitalization of cold chain,” many envision a large-scale investment and a long-term project. However, the realistic path is phased implementation — starting small and building results steadily.

Step 1 (3–6 months): Visualization and Automation of Temperature Data Recording
Begin by automatically recording the temperature of refrigerators and freezers using IoT sensors and setting up alerts for excursions. Eliminate paper temperature check sheets, reduce the burden on the person responsible, and secure continuity and accuracy of data. The cost-benefit ratio at this stage is relatively straightforward and easy to explain to headquarters.

Step 2 (6–12 months): Digital Integration of Lot Management and Inventory
Link temperature data with lot information and inventory management. Use PEGASUS (inventory management system) to centralize receipts, shipments, expiration dates, and lot tracking in a single system. Expect more rigorous FIFO enforcement, reduced expiration-related disposal, and improved complaint tracing speed. At this stage, quantitative improvements in yield and disposal costs will begin to become visible.

Step 3 (12+ months): Paperless Quality Inspection, Reporting, and Forms — Plus Rollout
Use i-Reporter (paperless application) to digitize quality inspections, process records, and daily reports, and automate traceability reporting to buyers. Present the results achieved in the pilot department or line in numbers, and propose a rollout plan to headquarters.

By executing these three steps over one to two years, you can distribute investment risk while steadily building results that satisfy both the floor and headquarters.

10. Explaining to Japan Headquarters: Make the Case with Numbers, Not “Convenience”

No matter how strong a proposal the Thailand site puts forward, progress stalls without headquarters approval. When explaining cold chain DX investments in food factories to Japan headquarters, appeals such as “DX is necessary” or “competitors are doing it too” tend not to resonate.

An effective structure for building the case for headquarters approval:

• Current lost costs: Tally disposal costs (X,XXX baht per month), complaint handling hours (XXX hours per month), and temperature recording hours (XXX hours per month) to show the current annual loss
• Projected improvements after investment: X% disposal reduction, X% reduction in complaint handling hours, X% reduction in recording hours (approximate figures are acceptable; showing the basis is what matters)
• Investment amount and payback period: Implementation costs, annual maintenance fees, actual cost after BOI incentives, 3-year financial projection
• Risk dimension: Add a qualitative note on “the risk of business suspension if left as-is” and “the cost of response in the event of a quality incident”
• Phased implementation proposal: Rather than a full company-wide rollout, propose a safe approach of “pilot on one line first, confirm results in 3 months”

To prepare this explanation, it is important to start recording and tracking current disposal costs, complaint handling costs, and documentation hours now. Waiting until “we’d be able to explain if we had the data” means missing the window to obtain approval.

11. Temperature Evidence Management in Food Logistics (Cold Chain Transport)

Temperature management during transport, not just within the factory, is also a critical factor in food quality. In and around Bangkok, there are risks of temperature rise due to traffic congestion, accidents, and extended delivery times; transport from regional factories to the metropolitan area can involve refrigerated truck journeys of several hours to over ten hours.

The significance of securing temperature evidence during transport:

• Clarifying the boundary of responsibility: When a quality complaint arrives, it becomes possible to distinguish whether “the product was within specifications at factory shipment, with the excursion occurring during transport” or whether “the issue originated in the factory”
• Visibility into logistics providers’ management standards: When multiple carriers are used, it becomes clear which carrier’s routes show the most temperature excursions
• Stronger documentation for export products: Buyers in export destinations (Japan, Europe, the Middle East, etc.) increasingly require submission of transport temperature evidence

As a practical starting point, a growing number of companies are beginning by introducing small temperature loggers on transport segments from their own warehouse to major delivery destinations and establishing a system to periodically check the data. System integration can be added later; the priority is first creating a state where “evidence is preserved.”

12. TOMAS TECH’s Perspective: How We Approach Challenges in Food Operations

Through our work supporting DX for Japanese manufacturers and food companies in Thailand and ASEAN, TOMAS TECH has encountered many situations where “things don’t go by the book.” Here are some perspectives drawn from that experience.

What PEGASUS Inventory Management System Can Do
As an inventory management system, PEGASUS can manage raw materials, work-in-progress, and finished goods in food factories by lot, expiration date, and location. Its primary functions include FIFO rule configuration, alerts based on best-before and use-by dates, and lot traceability of receiving and shipping history. It can address challenges such as “we manage inventory in Excel but feel we’ve hit the limits of expiration management” and “lots get lost and tracing the cause takes time,” with a small-start approach.

What Paperless Application i-Reporter Can Do
i-Reporter is an application that replaces paper inspection sheets, check sheets, daily reports, and quality records with tablet input. In food factories, large volumes of paper are generated daily — quality inspection records, temperature check sheets, sanitation management records, work instructions, and more. Digitizing these reduces the effort of recording while accumulating data that can be used for search and report generation. Response time for buyer audits is also dramatically shortened.

What Changes with an Operational Management System and Smartwatch
By monitoring the operational status of food processing line equipment in real time, it becomes possible to see “which equipment is stopped” and “when and why it stopped.” The smartwatch system enables floor workers to send notifications and reports for specific actions — such as equipment stoppage, quality anomalies, and transport requests — directly from their watch, and can also serve as a record of “who responded, when, and how” when a problem occurs.

The Approach TOMAS TECH Values
We recommend starting by trialing systems in small units — one process, one warehouse, one form — and moving to the next step only after floor staff are confident users. “Getting one thing to stick properly” is more cost- and time-efficient in the long run than “implementing everything at once.” We also provide operational training for Thai local staff, support for communication between Thailand and Japan headquarters, and assistance preparing explanatory materials for headquarters — with a commitment to ensuring that implementation does not simply end at go-live.

We welcome inquiries and consultations at any time regarding the current challenges you face around cold chain digitalization and food loss reduction, and where to begin. Please start by sharing the situation on your floor.

Contact us: https://tomastc.com/contact

Summary

Cold chain was once “a defensive cost.” However, the era has changed — temperature data, lot management, and yield visualization now function as tools for improving profit margins, building customer trust, and providing a basis for headquarters reporting.

In Thailand’s food market in 2026, where significantly growing sales is difficult, the approach of “reducing the small losses that occur every day” has direct management impact. Disposal, temperature excursions, complaint handling, documentation hours — these accumulate into large losses, but each one falls within the range of “improvements that can be made.”

What matters is not DX as a buzzword, but DX that changes the numbers on the floor. Start from a small unit — one warehouse, one process — measure the results, get the floor to adopt it, and then expand. This steady accumulation leads to differentiation from competitors and earning the trust of Japan headquarters.

If you have questions about cold chain digital management — “where should we start?” or “is this a fit for our operation?” — please do not hesitate to consult TOMAS TECH. We won’t push any solutions. We start by listening to your on-site situation and think through the right first step together.

References

• World Bank Thailand
• Thailand BOI (Board of Investment)
• JETRO Thailand
• S&P Global PMI
• Ministry of Economy, Trade and Industry — Manufacturing White Paper 2025

Related Articles

• Preparing for High-Mix Low-Volume Production in Thailand’s Food Industry: System Design for Linking Production Planning and Inventory Management
• Turning “Visibility” into Real Improvement at Food Factories: Root Cause Analysis of Line Stoppages and Quality Defects
• DX for Food Export Companies in Thailand: Building Quality Traceability and Delivery Reliability
• Accelerating Complaint Response for Food Manufacturers in Thailand: Combining Lot Traceability and AI Meeting Minutes