Target Audience: Executives, site managers, plant managers, and administrative department heads at Japanese companies with food manufacturing, processing, or distribution facilities in Thailand. This article is primarily written for those responsible for preparing capital expenditure proposals for headquarters, as well as on-site managers who are wondering, “We keep hearing about DX, but where do we even start?”
In 2026, Thailand’s food industry is simultaneously being pressured to make both offensive and defensive decisions. The World Bank has cautiously revised its growth outlook for Thailand in 2026, with slowing external demand, rising logistics costs, and unstable energy prices all compounding at once. At the same time, labor costs continue to rise, and securing skilled local staff is becoming increasingly difficult. Challenges unique to the food industry — quality control, lot traceability, temperature management, and food loss reduction — are growing more critical as regulations tighten and customer requirements intensify.
In this environment, both “halting capital investment” and “continuing investment without direction” can become management risks. Selecting the right investment targets, securing approval through the proposal process, and embedding changes on the shop floor — designing this entire sequence correctly will determine the competitiveness of Thai food facilities in 2026.
This article organizes the approach to building capital expenditure proposals for Thailand’s food industry around three axes: leveraging BOI incentives, advancing labor optimization, and making quality risks visible. We share concrete thinking on what DX looks like when it actually moves shop-floor numbers, and how to structure the case for Japanese headquarters.
1. Why “Selective Investment” Is Being Demanded in Thailand’s Food Industry Right Now
Thailand’s food manufacturing sector has a relatively mature industrial base within ASEAN. In addition to major frozen food, seafood processing, confectionery, and seasoning manufacturers, many Japanese companies have established operations there, building up a solid track record in quality standards, logistics infrastructure, and talent development. However, in recent years, structural challenges common across the industry have become increasingly apparent.
First, labor costs continue to rise steadily. Thailand’s minimum wage has been incrementally raised in recent years, and in labor-intensive processes such as food manufacturing, the share of labor costs in total production costs is increasing. Combined with labor shortages, the limits of “people-dependent management” are becoming clear.
Second, quality and safety standards are becoming more sophisticated. As integration into global supply chains deepens, the required level of food safety compliance — HACCP, ISO 22000, BRC, ASC/MSC certification — continues to rise. Requirements from major retail chains and foodservice companies for lot traceability, allergen management, and expiration date control are also becoming more stringent.
Third, food loss and disposal costs have a direct impact on profitability. When raw material prices are volatile, deteriorating yield rates and the disposal of work-in-progress or finished goods directly erode profits. Yet in many factories, the reasons, timing, and volume of disposal are not systematically recorded, making it impossible to run a PDCA cycle for improvement.
These challenges cannot be solved by growing sales alone. Rather, “making the small daily losses visible and reducing them” is directly linked to stable operations in an uncertain external environment. DX, automation, and data utilization are being called upon as the means to achieve this.
2. Taking Inventory of “Hidden Losses” in the Food Factory
Before structuring a capital expenditure proposal, it is critical to first identify where your operation’s “hidden losses” lie. The following table shows typical loss patterns commonly observed in food factories.
| Type of Loss | Typical Examples on the Shop Floor | Impact on Management |
|---|---|---|
| Disposal / Food Loss | Disposal due to temperature deviation, expired product, or mislabeling. No root-cause records kept. | Rising production costs, disposal fees, product liability risk |
| Yield Loss | Yield is not measured per lot, so equipment degradation and changeover losses go undetected. | Reduced accuracy of production cost calculations |
| Downtime / Waiting Loss | Line stoppage time is not recorded, so breakdown frequency and setup time are never improved. | Lower utilization rates, increased overtime |
| Excess Inventory / Stockouts | Raw materials and supplies are managed by Excel or visual inspection, with ordering timing left to individuals. | Excess inventory costs, premium costs for emergency orders |
| Recording / Reporting Loss | Quality records, daily reports, and inspection forms are paper-based, making aggregation time-consuming and prone to transcription errors. | Increased management workload, higher audit preparation costs |
| Customer Complaint Handling Loss | When foreign matter contamination or quality defects occur, identifying the affected lot takes a significant amount of time. | Expanded recall scope, damage to customer trust |
Converting these losses into monetary terms is the starting point for building a proposal. How many kilograms of product are disposed of per month? How many hours does it take to handle a single customer complaint? How many days does inventory sit idle? Gathering these numbers makes it possible to prioritize investment targets.
3. Start with Visibility: Quality, Temperature, Lot Traceability, and Yield
When advancing DX in the food industry, the area with the greatest impact and the easiest path to proposal approval is “making quality, temperature, lot traceability, and yield visible.” Connecting these four elements digitally allows you to simultaneously reduce food loss and operational risk.
Digitalizing Temperature Management
Temperature management in refrigerated and frozen warehouses and along production lines is the most fundamental element of food safety. Yet in many factories, temperature checks consist of a few visual inspections per day with handwritten records on paper. This approach cannot detect temperature deviations that occur between recording intervals. Switching to continuous temperature monitoring with IoT sensors enables immediate detection of deviations, automated alerts, and automatic data logging. The time required to prepare for audits can also be dramatically reduced.
Strengthening Lot Traceability
Having an end-to-end system that tracks lot information from raw material receipt through manufacturing, shipping, and delivery not only meets food safety regulatory requirements but also enables rapid response when complaints arise. With paper-based or Excel-based lot management, tracing a specific lot can easily take several hours. By implementing barcode or QR code-based receiving and shipping records integrated with a system, it becomes possible to trace the flow of a lot within minutes.
Visualizing Yield and Reflecting It in Cost Calculations
Yield deterioration tends to be overlooked on the shop floor as “just the way it is.” However, even a one-percentage-point improvement in yield can make a significant difference in annual raw material costs for high-volume products. Creating an environment where input quantities, output quantities, and disposal quantities are recorded per lot in a system — enabling real-time yield monitoring — forms the foundation for continuous improvement.
Going Paperless for Quality Records
Switching quality inspection records, process inspection forms, and sanitation management logs from paper to digital eliminates missing entries, transcription errors, and the labor involved in aggregation. Recording on tablets or smartphones, attaching photos, and digitizing approval workflows simultaneously improve both the reliability and efficiency of quality management. During audits, past data can be quickly searched and presented.
4. Designing Labor Optimization Investments — “Empowering People,” Not “Reducing Headcount”
The word “labor optimization” (省人化) sometimes conjures images of cutting jobs, but the true purpose of labor optimization investment in Thailand’s food factories is to “concentrate limited human resources on high-value-added work.”
Specifically, the following types of tasks are candidates for automation and digitalization:
- Data collection and transcription: Simple tasks requiring no human judgment, such as manually entering paper records into Excel or compiling summary tables. These can be replaced by sensors and systems.
- Routine report generation: Tasks such as daily production performance reports and quality summary reports that can be auto-generated once data is available.
- Visual inventory checks and physical counts: Separating the physical verification from the recording process and managing both with barcode scanning and an inventory management system.
- Temperature and equipment patrol inspections: Switching to automated monitoring via IoT sensors, with human intervention only triggered by alerts when anomalies occur.
By automating and digitalizing these tasks, shop-floor staff can redirect their time to quality improvement, kaizen activities, training, and customer-facing work. Additionally, systemizing previously person-dependent tasks prevents the loss of institutional knowledge due to staff turnover.
When structuring a labor optimization proposal, showing “which tasks will have their workload reduced by how many hours, and what those hours will then be used for” is far more persuasive to headquarters than simply stating “how many headcount will be reduced.”
5. Leveraging BOI — Incorporating Incentives into the Design Phase, Before the Proposal
The Thailand Board of Investment (BOI) offers incentives — including corporate income tax exemptions, import duty exemptions, and preferential visas for foreign workers — for investments that include automation, AI, data analytics, and enterprise management IT (ERP, MES, quality management systems, etc.). In the food industry, investments such as manufacturing process automation, quality management system implementation, and the upgrading of refrigeration and cold chain facilities can potentially qualify for BOI incentives.
To maximize the benefits of BOI incentives, it is critical not to start pursuing BOI approval only after the investment decision has been made, but rather to incorporate BOI requirements into the investment plan during the design phase. Specifically, confirm the following points:
- Whether the equipment and systems to be introduced fall under the eligible industries and activities
- Whether the project’s scale and investment amount meet BOI application requirements
- Whether a skills development plan for Thai employees (skill-up requirements) can be incorporated
- Whether the schedule from application to approval can be integrated into the investment execution plan
Receiving BOI incentives effectively shortens the investment payback period. For example, factoring in the tax savings during the corporate income tax exemption period, the number of projects with a projected 3–4 year payback increases. Including BOI projections in the proposal strengthens the case to headquarters.
Note that the BOI framework is periodically revised. For the latest eligible activities and incentive details, we recommend checking the official BOI Thailand website (www.boi.go.th) or consulting with an accredited consultant.
6. The Three-Year Payback Framework — Building Numbers That Convince Headquarters
The most common question that capital expenditure proposals from Thai sites need to answer for Japanese headquarters is: “When will we recover the investment?” For DX investments in the food industry, demonstrating ROI through cost reduction, loss reduction, and workload reduction tends to be more persuasive than projecting revenue growth.
The following outlines how to structure a three-year payback framework.
Step 1: Quantify the Current “Cost of Loss” in Monetary Terms
Convert the losses currently occurring — disposal costs, complaint handling workload, excess inventory holding costs, labor costs for paper-based management, and audit preparation workload — into monthly and annual figures. Rough estimates are acceptable. Simply having a starting point of “we are currently incurring XX baht per year in losses” makes discussions concrete.
Step 2: Estimate the Monetary Savings from the Investment
Not all losses will disappear at once, but build up individual impact estimates: “Implementing this system will reduce disposal by XX%,” “Lot identification time will be cut from XX minutes to XX minutes,” “Quality record workload will be reduced by XX hours per month.” Even with conservative estimates, if the cumulative annual savings exceed one-third of the investment amount, there is a basis for a three-year payback.
Step 3: Add the Impact of BOI Incentives and Subsidies
If BOI corporate income tax exemptions or import duty exemptions apply, add their value to the calculation. This allows you to present an effective payback period that is shorter than the nominal one.
Step 4: Document Risk Reduction Benefits Qualitatively
Losses from quality incidents, recalls, and customer complaints are difficult to quantify precisely because they occur infrequently, but when they do occur, the impact can be enormous. Documenting risk reduction benefits qualitatively — such as “This system will reduce the risk of missed temperature deviations to near zero” or “A task that previously took up to two hours to identify an affected lot will now take under five minutes” — conveys value that financial ROI alone cannot express.
7. Sorting Investments: What to Pause and What to Continue
As uncertainty about the economic outlook grows, the decision to “halt all investment” can appear temporarily rational. However, halting all investment carries its own risks: the risk of quality incidents rises, talent retention suffers, and the gap with competitors widens — outcomes that can outweigh the near-term cost savings.
The key is not whether to “stop” or “continue” investment, but to clearly define “what to stop and what to continue.” Use the following checklist as a reference to sort your investments.
| Investment Category | Decision Guideline | Recommended Action |
|---|---|---|
| Large-scale, company-wide ERP implementation | Benefits unclear, ROI difficult to calculate, high risk of poor shop-floor adoption | Put on hold; re-evaluate after a small-scale PoC |
| Digitalization of quality and food safety | High costs for complaint handling and audit preparation; increasing regulatory requirements | Prioritize and advance |
| Inventory management system build-out | Excess inventory, disposal, and ordering errors are impacting production costs | Prioritize if ROI is clear |
| Utilization tracking and line stoppage recording | High downtime and waiting losses with unknown root causes | Start with data collection; expand once improvement potential is confirmed |
| New equipment introduction / line expansion | Demand outlook is unclear | Defer the decision; prioritize optimizing existing lines first |
| Paperless daily reports and inspection forms | High recording and aggregation workload with low data quality | A relatively small investment with high likelihood of impact. Can be prioritized. |
8. Common Failure Patterns in DX Implementation and How to Avoid Them
DX and system implementation in Thailand’s food factories share a common set of failure patterns that repeat across organizations. Being aware of them in advance can help you avoid the same pitfalls.
Failure Pattern 1: Top-Down Implementation Without Shop-Floor Involvement
When a system decided by headquarters or executive management is imposed on the shop floor, complaints about poor usability and cumbersome data entry arise, leading to adoption in name only. The solution is to involve shop-floor leaders from the system selection stage and conduct requirements definition based on actual workflows. UI and language localization that allows Thai staff to use the system independently is also essential.
Failure Pattern 2: Starting with Too Broad a Scope
Approaches such as “digitalize all processes at once” or “start with a company-wide ERP” cause projects to drag on, costs to balloon, and shop-floor staff to become exhausted. What successful food factory projects have in common is starting with a small unit — “one process, one warehouse, one form” — verifying the results, and then rolling out horizontally.
Failure Pattern 3: Insufficient Post-Implementation Follow-Through
Treating the go-live as the finish line leads to deteriorating data entry quality over time and declining data reliability. Building in regular checks on system usage, collection of improvement requests, and periodic reviews of operating rules as part of the ongoing workflow leads to long-term adoption.
Failure Pattern 4: Deploying a Japanese-Only System to a Local Site
When a system used by local Thai staff is only available in Japanese, data entry accuracy declines and errors and omissions increase. It is important not to neglect choosing a Thai-language or multilingual system, or investing in UI localization.
Failure Pattern 5: Failing to Calculate ROI Before Implementation
Projects that start with “let’s just try it” often end up with vague criteria for measuring effectiveness, making it difficult to report results to headquarters. Recording baseline data (disposal volume, complaint count, inventory turnover, labor hours) before implementation, so that post-implementation results can be compared against it, is a prerequisite for ROI verification.
9. Designing a Phased Implementation — Start Small, Then Roll Out
What TOMAS TECH has confirmed repeatedly through projects with Japanese food companies is the effectiveness of the “start small, then roll out” approach. Specifically, the following phased design achieves both shop-floor adoption and investment effectiveness.
Phase 1 (0–3 months): Current State Assessment and Pilot Design
Visualize the major losses and challenges on the shop floor and identify the one or two processes or tasks with the highest potential for impact. Establish baseline data and set target values.
Phase 2 (3–6 months): Pilot Implementation and Impact Measurement
Implement a small-scale system or process improvement in the selected process or task. Conduct staff training, develop operating rules, monitor usage, and measure impact against the baseline.
Phase 3 (6–12 months): Improvement and Scope Expansion
Refine operations based on pilot results and design the horizontal rollout to other processes, departments, or facilities. Data from this phase can also be used for interim reporting to headquarters.
Phase 4 (12+ months): Standardization and Continuous Improvement
Standardize operations and embed a continuous improvement (kaizen) PDCA cycle. When new areas for improvement become apparent, consider the next investment decision.
The advantages of this approach include lower initial investment, the ability to select systems based on real shop-floor requirements, and the availability of pilot performance data as supporting material for headquarters presentations.
10. Getting the Proposal Approved at Japanese Headquarters — How to Build Your Case
Capital expenditure proposals from Thai sites to Japanese headquarters frequently run into the following objections: “Why do you need this in Thailand?” “Wouldn’t the same system we use in Japan work?” “Can’t we wait a little longer?” Addressing these questions with an explanation grounded in the realities of the Thai shop floor is essential.
Frame It in Terms of “Risk and Cost,” Not “Convenience”
Explaining “this would be convenient to have” makes proposals difficult to approve. Starting from “current risks and costs that are actually occurring” — such as “we are currently disposing of XX baht worth of product per month, and XX% of this is attributable to inadequate temperature monitoring records” or “it currently takes an average of XX hours to identify an affected lot, which means the scope of any recall is unnecessarily large” — conveys the necessity of the investment.
Communicate Thailand-Specific Context
High workforce turnover (frequent staff changes make person-dependent management dysfunctional), language barriers (the difficulty of reporting and communicating between Japan and Thailand), and BOI incentives (tax advantages unique to Thai operations) — these are all circumstances specific to Thai sites that are difficult to understand from a Japanese perspective. Taking the time to explain “why this investment is needed in Thailand right now” builds headquarters’ understanding.
Attach a Three-Year Payback Estimate
“Projected to be recovered within three years” is a figure that aligns with the investment decision criteria of many Japanese companies. Presenting estimates based on conservative assumptions (setting the expected realization rate of benefits on the low side) mitigates skepticism about optimistic scenarios. Including BOI incentive estimates can allow you to present an even shorter payback period in some cases.
Use Phased Implementation to Minimize the “Cost of Failure”
Presenting a phased implementation design with a limited initial investment allows you to frame the downside as “even if it doesn’t work out, the loss is capped at XX baht.” Even when full approval is difficult to obtain, it can be effective to seek advance approval for pilot costs only, and then pursue approval for full implementation once results are in hand.
11. TOMAS TECH’s Perspective — How We Approach the Challenges of Food Factories
TOMAS TECH has supported the digitalization of operations and data utilization for Japanese manufacturing and food companies in Thailand and across ASEAN. Here we briefly introduce how TOMAS TECH’s solutions can contribute to the challenges facing food factories.
Inventory Management System PEGASUS: Enables real-time visibility of raw materials, supplies, and finished product inventory, consolidating lot management, receiving/shipping records, and purchase order management in one place. PEGASUS provides the foundation for moving beyond Excel and visual management to reduce losses from excess inventory, stockouts, and disposal. In the food industry, it can also be leveraged to strengthen lot traceability.
Paperless App i-Reporter: Digitalizes paper-based shop-floor forms, including quality inspection records, process inspection forms, sanitation management records, daily reports, and work instructions. It enables input from tablets and smartphones, photo attachment, electronic approval workflows, and automatic data aggregation — directly reducing audit preparation time and management workload. With Thai-language support, it provides an environment that local staff can use comfortably.
Utilization Management System: Records and visualizes the operating and stoppage status of production lines in real time. Supports root-cause analysis of downtime, OEE (Overall Equipment Effectiveness) tracking, and identification of improvement priorities. In food factories, it can also be used to shorten line changeover times and support preventive maintenance planning.
Smart Watch System: Delivers notifications, alerts, and work instructions to shop-floor workers via smartwatch. Strengthens real-time response to food safety concerns, including immediate notification of temperature deviations, equipment anomalies, and quality defects, as well as more efficient emergency communication.
TOMAS TECH’s standard approach is a phased implementation that begins with “one process, one warehouse, one form.” Rather than large-scale, full-deployment rollouts, starting from the tasks most likely to yield results, embedding them on the shop floor, and then rolling out horizontally is a method that reliably builds results while keeping investment risk low.
If you are interested, please feel free to reach out — starting with a complimentary current-state consultation.
https://tomastc.com/contact
12. Summary
Capital expenditure proposals for Thailand’s food industry are being subjected to an unprecedented level of scrutiny around “focus and selectivity” amid the uncertain external environment of 2026. The key points are as follows:
- Quantify hidden losses in monetary terms: Disposal, yield, downtime, recording workload, complaint handling — making the daily losses lurking on the shop floor visible is the starting point for investment.
- Start with visibility of quality, temperature, lot traceability, and yield: These four visibility initiatives reduce food loss and risk, are relatively straightforward to calculate ROI for, and tend to be easier to get approved.
- Labor optimization is done to “empower people”: The goal is to concentrate staff on high-value-added work by automating and digitalizing simple, repetitive tasks.
- Incorporate BOI into the design phase: Rather than applying for BOI after the investment is made, embed requirements into the planning stage to effectively shorten the payback period.
- Sort investments into what to pause and what to continue: Rather than stopping everything, prioritizing based on ROI and business risk is essential.
- Start small and roll out: The pilot approach of “one process, one warehouse, one form” achieves both shop-floor adoption and investment effectiveness.
- Frame headquarters proposals in terms of “risk and cost”: Presenting current losses, risks, and a three-year payback estimate — rather than convenience — makes approval more likely.
Precisely because the business environment is challenging, the significance of DX that actually moves shop-floor numbers becomes greater. Not DX as a trend, but practical digitalization that reliably reduces daily disposal, downtime, recording workload, and inventory losses — this is the foundation that supports the competitiveness of Thai food facilities.
