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Although artificial intelligence (AI) is frequently in the news, most Thai companies have not yet experienced a noticeable impact on their profits.

Just 17% of companies in Thailand have adopted AI in a manner that greatly influences their business outcomes, as reported during a recent seminar organized by HexaTech Solutions and Profet AI. The majority are still in the planning phase (73%) or have not yet decided (10%).

Many executives are well aware of the challenges: confusion regarding suitable applications, unclear expectations for return on investment, and a shortage of in-house knowledge to handle AI implementation. This leads to a continuous divide between the excitement surrounding AI and its real-world business effects.

An innovative method for addressing these challenges integrates industry knowledge, systematic change management, and established AI solutions. The seminar highlighted practical projects spearheaded by HexaTech, a collaboration between Thailand’s PacRim Group and ICS, in conjunction with Taiwan-based Profet AI.

Profet AI is a no-code AutoML solution designed for manufacturers, catering to over 300 enterprise customers spanning 20 different manufacturing industries, including more than half of the participants in Nvidia’s manufacturing network across Asia.

Prophet technology is designed to enable non-IT individuals to create, implement, and oversee AI models in as little as three hours, with a discernible return on investment typically within 90 days.

Two companies, Minth Group and Chicony Power, attended the Bangkok seminar to present their effective AI integration projects, utilizing the Profet AI solutions.

Case Study 1: Minth Group, a worldwide manufacturer of automotive components, was dealing with a quality issue. Among the problems faced:

40-47% rate of defects in the automotive trim bending procedure;

Physical examination and adjustments hindering the whole manufacturing process;

Need to implement quality enhancements across worldwide operations.

The AI Solution:

Instructed over 800 staff members in the use of a no-code artificial intelligence platform;

Production engineers, not software developers, created machine learning models;

AI examined thousands of factors including material strength, equipment placement, and environmental conditions.

Business Impact:

5.9 million Malaysian ringgit ($820,000) in yearly savings during the initial stage;

RMB14.74 million in possible savings as the method expands throughout the operations;

38 internal AI “champions” initiated 10 more projects;

Well-defined routes established to significantly lower error frequencies.

Case Study 2: Chicony Power, one of the leading power supply manufacturers in Taiwan, aimed to significantly enhance its energy management. The challenge was:

Systems that use a large quantity of electrical power;

Equipment allocation manually determined by engineer expertise;

Advanced synchronization of several chillers, pumps, and cooling towers.

The AI Approach: Two linked forecasting models:

Load prediction: Examines manufacturing timetables and meteorological information;

Energy efficiency: Identifies the most effective equipment configurations;

Instant suggestions take the place of manual choices.

Business Impact:

3-15% reduction in energy consumption under various operational conditions;

Significant decreases in expenses due to increased operational size;

A proactive monitoring system avoids expensive machinery interruptions;

Lower chance of mistakes caused by human error.

As stated by Bancha Dhammarungruang, CEO of HexaTech, the secret to achievement lies in beginning with projects that deliver immediate results, followed by expanding AI throughout the organization.

HexaTech follows a six-step approach: analyzing business workflows, ranking potential improvements, determining critical factors, creating models, conducting trials, and implementing solutions while integrating with current enterprise resource planning, customer relationship management, or manufacturing execution systems.

Many companies believe that AI success is entirely dependent on technology,” Mr. Bancha stated. “In truth, it’s about finding the proper mix of business goals, employee preparedness, and technological compatibility. This is how you achieve cash flow through cost reductions and open up new income possibilities.

LESSONS FOR THAI INDUSTRY

The manufacturing industry in Thailand is currently encountering issues that Taiwan faced ten years ago — a lack of labor, an aging workforce, and a skills gap among younger workers. Artificial intelligence presents a way not only to increase efficiency but also to maintain and expand limited expertise.

As illustrated by these examples, the most effective initiatives are those that:

Well-outlined business challenges;

Utilize both field-specific and artificial intelligence knowledge;

Incorporate within operational processes, rather than as isolated trials;

Integrate employee training to ensure continued implementation.

In Thailand, transitioning from AI experimentation to comprehensive enterprise transformation will demand that leaders shift their attention away from technological trends and instead concentrate on integrating AI into the fundamental aspects of their business strategies.

When executed properly, the outcomes—be it in manufacturing, food and beverage, or retail—can be significant, quantifiable, and enduring.

Provided by SyndiGate Media Inc. (Syndigate.info).