Blog

2026.06.05

Yield Improvement DX for Food Factories: The Data Japanese Manufacturers in Thailand Should Look At First

Industry: Food
Intended readers: Food factory managers, production control, accounting, improvement leads

With raw material prices fluctuating, you cannot read product-level profitability if yield and waste loss remain invisible. As Thailand’s economy heads toward a slowdown in 2026, manufacturing, logistics, and consumer sites are all seeing costs and management burdens rise that growing sales alone cannot absorb. At the same time, BOI is actively promoting investment related to automation, AI, data analytics, enterprise management IT, and Industry 4.0—so situations where investment should be halted and situations where it should instead be accelerated now coexist.

In food factories, it is essential to connect production results, raw material usage, waste, rework, and quality abnormalities to costs. What matters is not DX as a buzzword, but DX that links to shop-floor numbers and management decisions. The challenge TOMAS TECH must address for Japanese companies is not simply installing a system, but standardizing operations at Thai sites, reducing dependence on individuals, and creating a return on investment that can also be explained to Japanese headquarters.

1. Why This Theme Matters Now

In Thailand in 2026, while overall economic growth slows, structural challenges remain—labor costs, energy, logistics, quality compliance, and a shortage of managers. In a strong economy, a degree of waste can be absorbed by sales, but when growth is sluggish, small inefficiencies on the shop floor directly erode profit margins.

For this reason, investment decisions are no longer as simple as “proceed because the economy is good” or “stop because the economy is bad.” What should be halted are large-scale investments with vague objectives. What should be advanced are investments that move concrete numbers: time saved, inventory discrepancies, defects, stoppages, billing leakage, waste, and idle time.

2. Problems That Tend to Arise on the Shop Floor

With raw material prices fluctuating, you cannot read product-level profitability if yield and waste loss remain invisible. What makes this problem troublesome is that it does not stay contained on the shop floor. If shop-floor records are delayed, the management department’s aggregation is delayed; if the management department’s numbers are delayed, management decisions are delayed too. Furthermore, when explaining to Japanese headquarters, the issues occurring locally are hard to convey with a sense of urgency, making investment approvals harder to obtain.

At Thai sites, information in Japanese, Thai, and English is mixed together, and paper, Excel, existing systems, chat, and email tend to be fragmented. This very fragmentation is the first target of DX. Before expensive equipment or large-scale systems, you first need to organize the flow of information.

3. Points to Examine in Investment Decisions

There are three points to examine on this theme.

  • Capture yield by product and by line
  • Classify reasons for waste and turn them into improvement themes
  • Connect accounting data with production data

These are not merely functional requirements. They are management requirements for explaining the return on investment. How many hours per month can be saved? Which errors will be reduced? Which risks can be detected earlier? Can it be recovered within three years? Investments that can be explained this way are worth advancing even when the economy is sluggish.

4. Implementation Steps to Start Small

Step 1: Narrow to a single target operation

If you aim for company-wide rollout from the start, requirements expand too far and the project stalls. First, narrow to a scope where results are easy to see, such as one process, one warehouse, one store, one form, or one meeting.

Step 2: Do not increase the input burden on the shop floor

A major reason DX fails is that it increases the work on the shop floor. Using QR codes, barcodes, sensors, voice input, and integration with existing Excel, you need to choose input methods that feel natural to the shop floor.

Step 3: Build it into meetings and KPIs

Data goes unused if there is no venue to view it. Build it into weekly meetings, morning huddles, quality meetings, sales meetings, and monthly reports, and decide who judges what.

Step 4: Record the results in numbers

Record time saved, defect reduction, shorter idle time, waste reduction, and reduced billing leakage. This becomes the material for the next investment proposal.

5. How to Think About BOI and Incentive Programs

BOI places importance on investments that contribute to Thailand’s industrial advancement, such as automation, robotics, AI, big data analytics, IT for enterprise management, and cloud utilization. Whether a specific case qualifies requires individual confirmation, but it is at least worth keeping BOI’s direction in mind during the early stages of an investment plan.

What matters is to frame it not as a mere purchase of equipment or installation of a system, but as an investment plan that includes productivity improvement, quality improvement, labor savings, data utilization, and sustainability. This is effective not only for BOI but also for explanations to Japanese headquarters.

6. How TOMAS TECH Can Help

TOMAS TECH supports mechanisms that make yield and product-level profitability visible while keeping shop-floor input light. TOMAS TECH’s strength lies in being able to consider, as a single flow, the shop-floor realities of Japanese companies in Thailand, explanations to Japanese headquarters, system implementation, AI utilization, and accounting DX.

Simply building exactly what is requested, as in contract development, can end up merely transferring shop-floor complexity into the system. What is needed going forward is support premised on standardization, non-customization, phased implementation, and operational adoption. Build small, use it on the shop floor, measure the results, and roll it out laterally to the next area. This approach is the most realistic for Thai sites.

Summary

The theme “Yield Improvement DX for Food Factories: The Data Japanese Manufacturers in Thailand Should Look At First” is not merely a story about IT adoption. Amid an environment of economic slowdown, rising costs, talent shortages, and growing quality demands, it is a management theme about how Thai sites protect their profit margins and shop-floor capabilities.

What is needed in 2026 is not flashy DX, but DX that changes the numbers on the shop floor. Separating investments to halt from investments to advance, and accumulating small improvements that can be discussed on a three-year payback basis, will be the most solid growth strategy for Japanese companies in Thailand.


Reference Information