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Hieu Luong
Hieu Luong

Posted on Originally published at himitek.com

Case Study: How a Jewelry Chain Saves VND 1.2 Billion Annually With an Anti-Counterfeit AI Agent

#himitek #technology #saas

1. Pain: Thirty Minutes to Authenticate One Piece of Jewelry

In this anonymized case study, we will call the operations director Ms. Lan. She manages a 12-store jewelry chain across Ho Chi Minh City and the Mekong Delta. Every week, her team encounters forged certificates, products swapped after purchase, and invalid warranty claims.

Employees must search invoices, product photos, SKU numbers, customer histories, and warranty terms across multiple files. Each authentication takes 20–40 minutes. On weekends, customers queue at the counter while store managers call headquarters. This manual, chạy bằng cơm process turns the warranty desk into a bottleneck and makes legitimate buyers feel as if they are being investigated for fraud.

2. Agitate: The Cost Extends Beyond One Counterfeit Item

The chain had patched the process with static QR codes, Google Sheets, and case-processing KPIs. However, static codes could be copied, ownership histories were missing, and KPI ảo encouraged employees to close tickets rather than verify them correctly. Fraud losses, investigation labor, and revenue lost when customers abandoned long queues reached approximately VND 100 million per month, or VND 1.2 billion annually.

Continuing with an ăn xổi approach meant losing money on invalid warranties while shrinking margins by adding more staff. This tối ưu nửa mùa setup also created technical debt: inconsistent store data, missing product records, and systems that could sập nguồn during demand spikes. This was not the time to vẽ dự án AI. The project had to reduce both processing minutes and measurable financial leakage.

3. Solve: HimiTek's Three-Step Workflow

  • Step 1 — Create a digital identity: WooCommerce TraceBatch and HimiTrace issue a unique QR code for each SKU or batch using GS1 EPCIS 2.0. Sales data from an ERP, Google Sheets, or DirectAdmin is synchronized to Polygon Mainnet or a Besu Private EVM. Customers can verify provenance, while employees see the sale date, store, and warranty status.
  • Step 2 — Let the AI Agent cross-check records: The Agent compares the QR code, invoice, ownership history, warranty frequency, and product-swap indicators. Low-risk cases are approved automatically. Only records with significant anomalies are sent to employees for manual inspection.
  • Step 3 — Block unsafe actions: OpenClaw Gatekeeper checks every update or transaction before execution. The stack uses 9router v0.4.66 with dual LiteLLM instances for failover, virtual-key budget caps, automatic API-key rotation, and elevated tools locked by default. When blockchain signing is required, keys are protected inside a Phala Cloud TEE. The KMS UUPS Proxy uses contract 0xcdcc76d4135c604931cfda139cb6a32f3fdd01dd. 
def route_warranty(record):
    if not record.get('valid_qr'):
        return 'manual_review'
    if record.get('owner_mismatch'):
        return 'manual_review'
    if record.get('risk_score', 0) >= 80:
        return 'manual_review'
    return 'auto_approve'
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After implementation, average authentication time fell from roughly 30 minutes to under 3 minutes, while fraudulent warranty cases dropped by 80%. The chain reduced operating costs and preventable losses by approximately VND 1.2 billion per year. The financial value of AI was explicit: fewer wasted labor hours, fewer invalid payouts, and more retained revenue from customers who no longer had to wait.

4. CTA: Measure ROI Before a Chain-Wide Rollout

HimiTek recommends a 30-day pilot covering high-value products at one or two stores. Track authentication time, manual-review rate, fraudulent claims blocked, and savings per product. Expand only when the measured ROI clears the agreed threshold. This avoids a costly vẽ dự án exercise, blind investment, and another layer of technical debt.

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