What Should Japanese Suppliers in Thailand Change in Response to the EV and Electronics Component Shift?

Target Readers: Executives, site managers, plant managers, and production control staff at Japanese companies with manufacturing bases in Thailand. This article is aimed at those facing pressure to reassess supply chains and make capital investment decisions amid the EV transition and growing demand for electronic components, as well as those exploring digitalization and operational efficiency improvements on the shop floor.

Thailand’s automotive industry is now at a major turning point. While the production ratio of internal combustion engine (ICE) vehicles is gradually declining and demand for EV and hybrid vehicle components is expanding, the need for precision machining of electronic components and semiconductor-adjacent parts is also rising. The Thai government is actively attracting EV industry investment, and the BOI (Board of Investment) has expanded preferential measures for EV-related manufacturing and automation and AI investment.

Against this backdrop of structural change, the challenges facing Japanese suppliers in Thailand are far from simple. While orders from existing customers may decrease, new opportunities to reach new customers — domestic EV manufacturers and global Tier 1 suppliers — are emerging at the same time. However, the quality standards, traceability requirements, and delivery management levels demanded by new customers are significantly higher than before, making it extremely difficult to respond with traditional paper-based management or Excel-dependent operations.

This article organizes, from the perspective of concrete on-site challenges and return on investment, what management decisions, shop-floor improvements, and IT investments Japanese manufacturers in Thailand should make against the backdrop of the structural shift to EVs and electronic components. The purpose of this article is not to consume “IoT, automation, AI, and accounting DX” as buzzwords, but rather to present a practical approach to changing the numbers on the shop floor.

1. The Business Environment Surrounding Thai Manufacturing in 2026

The World Bank continues to present a cautious outlook for Thailand’s economic growth. Thailand’s export-dependent economy is highly susceptible to global demand trends and the impact of US-China trade friction, and the manufacturing operating environment is not optimistic. The OECD, on the other hand, points out that Thailand can maintain medium- to long-term competitiveness through “industrial upgrading,” “green manufacturing,” and “digitalization,” making this a phase where short-term headwinds and medium- to long-term opportunities coexist.

There are three points that Japanese suppliers should pay particular attention to.

Pressure to diversify order sources: Companies with declining orders from Japanese OEMs are being compelled to consider approaching Chinese, Korean, and Thai EV manufacturers. However, these customers have strict demands regarding quality, cost, and traceability, and in many cases existing management systems cannot meet their requirements.
Changes in cost structure: Thailand’s minimum wage is being raised incrementally, and production lines heavily dependent on labor costs are seeing profitability squeezed. In addition, material and energy costs continue to rise, making it urgent to reassess inventory holding practices and procurement timing.
Increasing administrative costs: Quality requirements, report submissions, and audit responses from customers are becoming more complex, and the workload of administrative departments continues to grow. Yet in many workplaces, daily reports, inspection records, and defect reports are still managed on paper or in Excel, making data consolidation time-consuming.

These challenges need to be addressed not individually, but through a connected flow: “visualize shop-floor data → accelerate decision-making → clarify return on investment.”

2. Concrete Impacts of the EV and Electronics Component Shift on the Manufacturing Floor

As EV adoption advances, new requirements — different from those of the past — arise on the automotive component manufacturing floor. Whether production lines optimized for ICE vehicles can adapt to EV and hybrid vehicles is a question that will determine the fate of each supplier.

Changes in Quality Requirements

EV components (battery pack peripherals, electric motor parts, power electronics, etc.) tend to have tighter allowable tolerances and higher demands for manufacturing process stability and traceability compared to ICE components. The recall risk if defective products are released is also significant, and customers are increasingly requesting submission of quality records, temperature management data, and material traceability for each manufacturing lot.

Attempting to handle such quality management with paper inspection records makes transcription errors, missed entries, and overlooked anomalies more likely. There is also a risk of being unable to promptly submit data when a customer audit occurs.

Challenges of Mixed-Model Production

Many Japanese suppliers will be compelled, at least for the foreseeable future, to run mixed production of ICE and EV components. As the number of product types increases, errors in changeovers, material switches, and process instructions increase. If work instructions are on paper, simply distributing and collecting the latest versions incurs considerable man-hours. Combining electronic work instructions with shop-floor tablets can reduce such confusion significantly.

Increasing Complexity of Inventory Management

Electronic and precision components have high unit prices and come in many varieties. Compared to conventional automotive parts, the number of part numbers increases, and lot management, expiration date management, and storage condition management become necessary. Excel-based or handwritten ledger inventory management quickly reaches its limits, and losses from stockouts, excess inventory, and disposal of expired items increase.

3. Investments to Stop vs. Investments to Continue

In a climate of growing economic uncertainty, it is not advisable to halt all investment. At the same time, it is not wise to continue pouring funds into large-scale projects where results are hard to see. We recommend using the following framework to prioritize investments.

Investment Category	Decision Rationale	Recommended Action
Large-scale ERP implementation (company-wide at once)	Long implementation period, heavy burden on the shop floor, ROI is difficult to see	Pause and reconsider. Start with smaller tools that solve specific pain points first
Visualization of equipment uptime and defects	Downtime losses and defect costs occur every day. Payback is fast	Prioritize. Start with one line or one process
Digitizing paper daily reports and forms	Directly resolves transcription errors, tallying man-hours, and searchability issues	Prioritize. Can also be linked to BOI applications
Implementing an inventory management system	Excess inventory, stockouts, and disposal losses are easy to quantify in monetary terms	Prioritize. Start with one warehouse or one product group
AI and advanced analytics tools (company-wide rollout)	Difficult to achieve results when foundational data is not yet in place	Establish data collection and preparation first, then consider
Automation equipment (robots, conveyance)	Effective for labor shortages and quality stabilization. May qualify for BOI incentives	Consider with a BOI application and 3-year payback calculation as prerequisites

The key is not “stopping investment” but rather “choosing what to invest in.” Even in a cautious economic climate, investments that reduce shop-floor losses tend to pay back quickly and are easier to explain to Japanese headquarters.

4. IoT and Automation: The First Step Toward Building “Visibility” on the Shop Floor

The term “IoT” is widely used, but its implementation on the manufacturing floor actually starts from a surprisingly simple place. Creating a system that captures equipment power on/off signals and sensor data to aggregate uptime, downtime, and defect counts in real time is the starting point for shop-floor improvement.

Why Operational Data Matters

In many manufacturing facilities in Thailand, the causes of equipment stoppages and trends in defect occurrence depend on “the memory of the person in charge” or “paper records.” This leads to the following problems.

Analyzing stoppage causes takes time, and countermeasures always come after the fact
Information is siloed between shifts and between individuals, causing the same problems to recur
Shop-floor managers spend an inordinate amount of time creating monthly reports
OEE (Overall Equipment Effectiveness) cannot be grasped, and improvement priorities remain unclear

Introducing IoT-based operational data collection resolves all of these problems at once. By aggregating data from sensors and PLCs attached to equipment into the cloud and visualizing it on a dashboard, managers can grasp the status of equipment without having to physically go to the shop floor.

Realistic Steps for Shop-Floor Implementation

Attempting to implement IoT across all equipment all at once can result in a project that stalls due to excessive cost and man-hours. The recommended steps are as follows.

Step 1: Identify the single process or piece of equipment that is the greatest bottleneck
Step 2: Collect operational and downtime data from that equipment for 2 to 4 weeks and analyze stoppage patterns
Step 3: Implement improvement measures and verify their effectiveness using data
Step 4: After confirming the effects, roll out to adjacent equipment and processes

This approach establishes a cycle of “pilot implementation → effect measurement → horizontal deployment,” making it possible to report to management using concrete numbers.

5. Practical AI Utilization: Where to Start

AI is attracting attention in the manufacturing context as well, but the phrase “implementing AI” is extremely vague. To effectively leverage AI in Japanese manufacturing facilities in Thailand, having a solid foundational data infrastructure is a prerequisite.

Use Cases Where AI Is Effective

The AI applications currently considered practical in Thai manufacturing facilities are mainly classified into the following categories.

Anomaly detection: AI analyzes sensor data such as equipment vibration, temperature, and current to detect signs of failure before they occur, reducing unplanned downtime
Visual inspection: AI-based visual inspection using camera images improves the accuracy and speed of visual inspections, reducing inspector burden and stabilizing quality
Demand forecasting and inventory optimization: Based on historical order and inventory data, AI proposes order timing and quantities, reducing stockouts and excess inventory
Natural language reporting: Shop-floor data is summarized in natural language, automating the generation of reports for Japanese headquarters

Infrastructure to Establish Before Implementing AI

To obtain the benefits of AI utilization, the following infrastructure is required.

Operational data from equipment and processes is being electronically collected and accumulated
Quality inspection results and defect data are recorded in a structured format
Inventory and inbound/outbound data is updated in real time

Implementing AI tools without this infrastructure in place will result in insufficient data for training, and accuracy will be poor. Establishing the foundation for data collection and digitalization must come first.

6. Digitalizing Forms and Daily Reports: The DX Investment With the Fastest Payback

One of the most cost-effective DX investments in Thai manufacturing facilities is digitalizing paper forms and daily reports. While it may seem unglamorous, it actually delivers very significant reductions in man-hours and improvements in quality.

The Hidden Costs of Paper-Based Management

Paper forms and daily reports harbor many invisible costs.

Man-hours for recording, tallying, and transcribing (30 minutes to 2 hours per person per day)
Quality problems and customer complaint handling costs due to writing errors and transcription mistakes
Storage space and management man-hours for paper forms
Time required for searching and cross-referencing (during customer audits or internal investigations)
Information gaps between Thai staff and Japanese managers (differences in language and recording methods)

Adding all of these up, a mid-sized factory (100–300 employees) may be incurring losses of several hundred thousand to over one million yen per month.

Concrete Effects of Digitalization

Digitalizing forms and daily reports can be expected to deliver the following effects.

The cycle of input → tallying → reporting is dramatically shortened (from daily to real time)
Multi-language input and display capability reduces input errors by Thai staff
Automatic data tallying reduces the man-hours required to create monthly reports
Easy search and cross-referencing of historical data enables faster audit responses
System automatically flags abnormal values and deviations, reducing the risk of missed issues

7. Inventory Management DX: Controlling Stockout and Disposal Losses With Numbers

One of the often-overlooked sources of loss in Thai manufacturing facilities is inefficient inventory management. Especially in facilities where the number of part numbers is increasing due to the EV and electronics component shift, inventory management accuracy directly impacts profitability.

Common Inventory Management Challenges

The following inventory management problems are seen in many facilities.

Excel or paper ledger management makes it impossible to know real-time inventory levels
Lot number, manufacturing date, and expiration date management is insufficient, and FIFO is not consistently practiced
Physical inventory counts require enormous man-hours, and variance root-cause analysis cannot be performed
Order timing depends on individual experience, causing stockouts and excess inventory to recur
When warehouse staff changes, handover is difficult and the dependency on individuals is never resolved

Return on Investment for Inventory Management System Implementation

Implementing an inventory management system can be expected to deliver the following financial benefits.

Reduction of excess inventory: Maintaining optimal inventory levels improves cash flow
Reduction of disposal losses: Expiration date and FIFO management reduces disposal costs
Elimination of stockout opportunity losses: Order alerts reduce the risk of delivery delays
Reduction of physical inventory count man-hours: Real-time inventory management reduces the frequency and man-hours of physical counts

By converting these effects into monetary terms and comparing them against implementation costs, a payback period of within three years is achievable in many cases.

8. How to Formulate an Investment Plan Using BOI

The Board of Investment (BOI) of Thailand offers a variety of preferential measures to support the upgrading, automation, and digitalization of manufacturing. Not only investment in EV- and electronics component-related manufacturing equipment, but also investment in automation equipment, AI, data analytics, and IT systems may qualify for BOI incentives.

Key Points for Leveraging BOI

Application timing: As a rule, BOI applications must be submitted before the investment decision is made. Since BOI applications cannot be filed after equipment purchases or software implementations, confirmation at the planning stage is essential.
Confirming the scope: Automation equipment, robots, IoT systems, and software development may qualify for BOI incentives. EV manufacturing-related equipment in particular has especially generous incentives available.
Corporate tax exemption: Investments certified by BOI are eligible for corporate tax exemptions for a certain period. For investment presentations to Japanese headquarters, it is effective to factor this into the payback calculation.
Foreign work permits: BOI-certified companies benefit from a partially streamlined process for obtaining work visas for foreign engineers and specialists.

Combined Proposal: BOI + 3-Year Payback Calculation

An effective approach for internal capital expenditure approval proposals to Japanese headquarters is to present a 3-year payback calculation that incorporates BOI incentives as a package. For example, accumulate the cost reductions resulting from implementing an inventory management system plus IoT operational monitoring (inventory compression, reduction in disposal losses, reduction in downtime losses), add the BOI corporate tax exemption, and calculate the payback period. The explanation “we can recover this much cost in three years” rather than “DX will make the shop floor more convenient” tends to be easier to get approved by Japanese headquarters.

9. The Japan–Thailand Communication Problem and Its Relationship with DX

One of the challenges that many Japanese companies with manufacturing bases in Thailand struggle with is the information sharing and reporting problem between Japanese headquarters and the local Thai operation. This problem is deeply related to DX.

Common Reporting and Communication Challenges

It takes a lot of time to create daily and weekly reports from the Thai local site
Report content varies by person, making comparison and analysis difficult
Reports on anomalies and problems are delayed, with Japanese headquarters often finding out after the fact
When Japanese expatriates are not on site, appropriate information does not come up from local Thai staff
Due to the language barrier, detailed shop-floor information is buried without being translated into Japanese

How DX Resolves Reporting and Communication Problems

As DX in the manufacturing workplace advances, reporting and communication problems naturally improve as a side effect.

If equipment operation, quality, and inventory data is aggregated in real time in the cloud, the status of the shop floor can be grasped from Japan via a dashboard
Implementing an electronic forms system reduces the man-hours required to create reports and standardizes their content
Alert and notification functions enable instant communication of anomalies to managers and headquarters
With a multilingual system, data entered by Thai staff in their native language can be reviewed in Japanese

This kind of “shop-floor visibility” not only reduces the workload of Japanese expatriates but is also effective in advancing the delegation of authority to Thai staff. When data is visible, local managers can independently discover and resolve problems.

10. Addressing Labor Shortages and Over-Reliance on Individuals: Combining Standardization and Digitalization

In Thai manufacturing facilities, the problems of aging skilled workers, turnover, and rising wages are becoming increasingly serious. When experienced operators retire, the knowledge and know-how they alone possessed is lost, and in many cases quality becomes unstable.

Risks Created by Over-Reliance on Individuals

Equipment stops, or quality cannot be maintained, unless a specific person is present
Work procedures depend on individual judgment and are not standardized or documented
Handover training takes a long time, and new employees are slow to get up to speed
Root-cause analysis is difficult when problems arise (no records, or records are inaccurate)

Resolution Approach Through Standardization + Digitalization

To resolve over-reliance on individuals, it is effective to combine “developing standard operating procedures” with “providing digital guidance.”

Displaying work procedures on tablets and displays on the shop floor enables accurate work even without skilled workers present
Recording work results and quality data in the system makes root-cause tracing during anomalies easier
Visualizing worker movement patterns, posture, and working hours using smartwatches enables detection of deviations from work standards
Digitalizing checklists and inspection sheets prevents missed inspections and confirmation lapses

11. Designing a Phased Implementation: How to Run a DX Project That Does Not Fail

The biggest cause of DX project failures is “trying to do everything at once from the start.” Large-scale all-at-once implementations invite risks of shop-floor chaos, systems that cannot be mastered, cost overruns, and schedule delays.

Failure Patterns and Avoidance Strategies

Common Failure Pattern	Background / Root Cause	Avoidance Strategy
The shop floor stops using the system	Operation is complicated, on-site benefits are not visible, it feels imposed from above	Design starting from shop-floor pain points, and involve floor staff in the trial
Data does not accumulate	High input burden, inadequate Wi-Fi infrastructure, insufficient Thai language support	Minimize data entry (QR codes, automatic data capture), establish communication infrastructure first
ROI is not achieved	Implementation purpose is vague, effectiveness measurement indicators are not set	Clarify KPIs (man-hour reduction, cost reduction, quality indicators) before implementation
A staff member quits and the system stops running	Operations depend on a specific individual, operating manuals are not prepared	Build a structure where multiple people can operate the system, prepare operating manuals in both Japanese and Thai
Headquarters approval cannot be obtained	Explanation is limited to “it becomes more convenient,” and ROI and risk reduction cannot be demonstrated	Prepare documentation with figures summarizing cost savings, payback period, and BOI incentives

Recommended Phased Implementation Flow

The recommended phased implementation steps for achieving DX success are as follows.

Phase 1 (Months 1–3): Select the one process, warehouse, or form where the challenge is clearest, and implement on a small scale. Set KPIs and measure effectiveness simultaneously.
Phase 2 (Months 3–6): Summarize the effects of Phase 1 in numbers and use them in headquarters reporting. Simultaneously design the rollout to adjacent areas.
Phase 3 (Month 6 onward): Horizontally deploy initiatives whose effectiveness has been confirmed, and evolve toward data linkage and integrated analytics.

12. The TOMAS TECH Perspective: Practical DX Support Rooted in the Thai Shop Floor

TOMAS TECH CO., LTD., headquartered in Bangkok, provides IT and DX solutions to Japanese manufacturers in Thailand and ASEAN. Our fundamental policy is to start from the challenges of the shop floor, not to push products.

Inventory Management System “PEGASUS”

PEGASUS is an inventory management system actually in use on manufacturing floors in Thailand. It manages part numbers, lots, storage locations, and inbound/outbound history in real time, and supports stockout alerts, physical inventory assistance, and order management. In facilities where the number of part numbers is increasing due to the EV and electronics component shift, systemizing before Excel and paper ledgers become unmanageable leads to reductions in disposal losses, stockout risk, and physical inventory man-hours. It is particularly strong in managing inventory of EV components and precision parts where lot management and expiration date management are required.

Electronic Forms and Paperless Operations (i-Reporter)

i-Reporter is a solution that digitalizes paper forms, daily reports, and inspection sheets using tablets and smartphones. It supports input and display in both Thai and Japanese, enabling Japanese managers to review in real time data entered by Thai staff. Since the creation, distribution, collection, and tallying of forms are automated, the man-hours of the administrative department can be dramatically reduced. It can also be used for quality records and traceability compliance required by EV and electronic component manufacturers.

Operational Monitoring System

An operational monitoring system that collects and aggregates real-time data on equipment uptime, downtime, and defects forms the foundation of “visibility” on the shop floor. It supports continuous monitoring of OEE (Overall Equipment Effectiveness) and the construction of an improvement cycle. The automatic generation of monthly reports and alert notification functions reduce the burden on managers while enabling the continuous operation of a PDCA cycle for shop-floor improvement.

Smartwatch System

A system that leverages smartwatches for worker movement patterns, working hours, and anomaly detection can be used for detecting deviations from standard work, worker safety management, and man-hour tracking. As labor shortages deepen, it functions as a support tool for safely and efficiently operating the shop floor even with a smaller workforce.

The TOMAS TECH Approach

At TOMAS TECH, we do not recommend implementing all systems at once from the start. We first listen to the shop-floor challenges, start small in the area where results can be achieved most quickly, establish the practice on the floor, and then roll it out horizontally. We also provide support for explanation materials to Japanese headquarters (3-year payback calculations, BOI utilization plans).

For inquiries and consultations, please visit https://tomastc.com/contact.

Summary

The EV and electronics component shift is both a threat and an opportunity for Japanese suppliers in Thailand to raise the quality of their operations. To meet the quality, traceability, and management standards demanded by new customers, it is necessary to break away from traditional paper- and Excel-dependent operations and build a system capable of visualizing and leveraging shop-floor data.

Let us review the key points organized in this article.

The EV and electronics component shift raises the bar for quality, traceability, and inventory management
A small-scale start with clearly identified challenges is more effective than large-scale all-at-once investment
IoT, operational monitoring, electronic forms, and inventory management systems pay back quickly and are easy to explain to headquarters
AI utilization should be approached in phases after the data infrastructure is established
Leveraging BOI incentives accelerates investment payback and makes it easier to obtain headquarters approval
Over-reliance on individuals and Japan–Thailand communication problems can be solved as part of DX
The keys to DX that does not fail are: start from the shop floor, start small, and demonstrate results with numbers

As structural change across the industry accelerates, there is limited time to “wait and see.” However, there is no need to rush into large-scale investment all at once. Choose the single most painful challenge on the shop floor and start small — that is the first step Japanese manufacturers in Thailand should take right now.