Cambodia Garments & Textile

25/06/2026

TAFTAC Works to Address Challenges and Boost Garment Exports
— Cambodia and the Textile, Apparel, Footwear and Travel Goods Association in Cambodia (TAFTAC) are working closely to sustain export growth in the garment sector amid rising global uncertainty, officials said Tuesday.
Commerce Minister Cham Nimul met with a TAFTAC delegation led by newly appointed chairman Enjoy Ho to discuss challenges and opportunities as Cambodia prepares for its graduation from Least Developed Country (LDC) status in 2029.
Ho expressed appreciation for the ministry’s support in promoting exports across garments, footwear, travel goods and bags, noting the sector’s importance to Cambodia’s economy.
According to the Ministry of Commerce, Cambodia generated $15.5 billion in exports of garments, footwear and travel goods in 2025, up 15.7 percent year on year, reflecting resilience and competitiveness. Export momentum has continued into 2026, with shipments rising 6.76 percent in January to nearly $1.47 billion.
The Ministry of Labour and Vocational Training reported strong expansion in 2025, with 301 new factories opening, bringing the total to 1,867 nationwide. Officials said continued collaboration between government and industry will be critical to sustaining growth and preparing for Cambodia’s transition to a higher income economy.
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By: Sopheng In
©KPT English

01/02/2026

01/02/2026

🧢 Product Categories SEA Buyers Source from Cambodia

✔ Knitwear (T-shirt, polo, hoodie)
✔ Casual woven
✔ Sportswear & activewear
✔ Uniforms
✔ Travel & lifestyle apparel

27/01/2026

AI is becoming a game-changer for Quality Management in the Garment / Apparel Industry—from fabric inspection to final shipment. Here’s a clear, practical breakdown 👇

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1️⃣ Fabric Inspection (Before Cutting)

Problem: Human inspection misses defects, inconsistent judgment
AI Support:
• Computer vision cameras detect holes, stains, yarn defects, color shading
• 24/7 inspection with higher accuracy
• Automatic fabric grading (A/B/C)

Result:
✔ Fewer defects enter production
✔ Less rework & fabric waste

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2️⃣ Cutting & Sewing Quality Control

Problem: Size mismatch, sewing defects, skipped stitches
AI Support:
• AI checks pattern alignment & size accuracy
• Detects broken stitches, seam puckering, needle damage
• Smart machines stop automatically when defects appear

Result:
✔ Consistent quality
✔ Reduced operator dependency

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3️⃣ In-Line & End-Line Inspection

Problem: Late detection causes high rejection cost
AI Support:
• Real-time defect detection during sewing lines
• AI highlights top defect types per line/operator
• Predicts defect trends before they escalate

Result:
✔ Early correction
✔ Lower DHU & rejection rate

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4️⃣ Quality Data Analytics & Decision Making

Problem: Too much data, slow analysis
AI Support:
• AI analyzes QC reports, audit data, buyer feedback
• Identifies root causes automatically
• Predicts which styles, lines, or suppliers may fail audits

Result:
✔ Faster decisions
✔ Data-driven quality strategy

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5️⃣ Buyer Compliance & Audit Readiness

Problem: Last-minute audit failures
AI Support:
• AI monitors quality KPIs in real time
• Alerts when performance drops below buyer standards
• Digital compliance dashboards (WRAP, BSCI, SEDEX)

Result:
✔ Better audit scores
✔ Stronger buyer trust

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6️⃣ Training & Skill Improvement

Problem: High operator turnover, inconsistent skills
AI Support:
• AI identifies skill gaps per operator
• Suggests targeted training
• Virtual defect libraries with real examples

Result:
✔ Faster learning curve
✔ Stable quality output

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7️⃣ Supplier & Material Quality Control

Problem: Unstable fabric & trim quality
AI Support:
• Scores suppliers based on historical quality data
• Predicts risk of fabric failure
• Recommends best suppliers per product type

Result:
✔ Strong supply chain quality
✔ Fewer surprises

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Key KPIs Improved by AI
• DHU / DPMO ↓
• Rework & rejection ↓
• Cost of poor quality (COPQ) ↓
• Buyer complaints ↓
• On-time shipment ↑

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Real-World Impact

Factories using AI-based QC report:
• 30–50% defect reduction
• 20–40% quality cost savings
• Higher buyer confidence & repeat orders