Misreading demand fluctuations leads to stockouts, excess inventory, expired products, and markdown sales. As Thailand’s economy heads toward 2026 with growing awareness of slowing growth, manufacturing, logistics, and consumer sites are seeing rising costs and management burdens that cannot be absorbed by sales growth alone. At the same time, BOI is encouraging investment related to automation, AI, data analytics, enterprise management IT, and Industry 4.0. This means there are situations where investment should be halted and others where it should, in fact, be accelerated.
AI demand forecasting should begin with applications that connect sales results, expiration dates, promotions, and seasonality to support ordering and production planning. What matters is not DX as a buzzword, but DX that connects to on-site numbers and management decisions. The challenge for the Japanese-affiliated companies that TOMAS TECH serves is not simply introducing a system, but standardizing operations at Thai sites, reducing dependence on individuals, and creating a return on investment that can be explained even 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, some waste can be absorbed by sales, but when growth is sluggish, small inefficiencies on site directly erode profit margins.
As a result, 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: reduced hours, inventory discrepancies, defects, downtime, billing leakage, waste, and waiting time.
2. Problems That Tend to Occur on Site
Misreading demand fluctuations leads to stockouts, excess inventory, expired products, and markdown sales. What makes this problem difficult is that it does not stay contained on site. If on-site records are delayed, the management department’s aggregation is delayed; if the management department’s numbers are delayed, management decisions are delayed as well. Furthermore, when explaining to Japanese headquarters, the problems occurring locally are hard to convey as 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, the flow of information must first be put in order.
3. Points to Examine in Investment Decisions
There are three points to examine on this theme:
- Classify demand variability by SKU
- View expiration dates and inventory turnover together
- Feed forecast results back into production planning and promotions
These are not merely functional requirements. They are management requirements for explaining the return on investment. How many hours can be saved per month? Which mistakes will decrease? Which risks can be detected earlier? Can it be recovered within three years? An investment that can be explained this way is worth pursuing even when the economy is sluggish.
4. Implementation Steps to Start Small
Step 1: Narrow the target operation to one
Aiming for a company-wide rollout from the start causes requirements to expand too far and the project to stall. First, narrow the scope to 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 site
A major reason DX fails is that it increases on-site work. You must choose input methods that feel natural to the site by using QR codes, barcodes, sensors, voice input, and integration with existing Excel.
Step 3: Build it into meetings and KPIs
Data is not used if there is no place to view it. Build it into weekly meetings, morning briefings, quality meetings, sales meetings, and monthly reports, and decide who makes which decisions.
Step 4: Record the results in numbers
Record reduced hours, defect reduction, shorter waiting times, 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. Actual eligibility requires individual confirmation, but it is at least worthwhile to keep BOI’s direction in mind in the early stages of an investment plan.
What matters is organizing it not merely as equipment purchase or system introduction, 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 food waste reduction and inventory optimization, starting from a small PoC using existing sales data. The strength of TOMAS TECH lies in its ability to consider the on-site realities of Japanese-affiliated companies in Thailand, explanations to Japanese headquarters, system implementation, AI utilization, and accounting DX as a single flow.
Building exactly what is requested, as in contract development, can end up merely transferring on-site complexity into the system. What is needed going forward is support premised on standardization, no customization, phased implementation, and operational establishment. Build small, use it on site, measure the results, and roll it out horizontally to the next area. This approach is the most realistic for Thai sites.
Conclusion
The theme of “AI Demand Forecasting to Reduce Food Waste: Practical Use in the Thai Market” is not merely a story about IT introduction. It is a management theme of how Thai sites can protect their profit margins and on-site capabilities amid an environment of slowing growth, rising costs, talent shortages, and increasing quality demands.
What is needed in 2026 is not flashy DX, but DX that changes on-site numbers. Separating investments to halt from investments to advance, and accumulating small improvements that can be discussed on a three-year payback basis, becomes the most solid growth strategy for Japanese-affiliated companies in Thailand.
