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Good practice Imported

Trade AI — Indonesia's Customs Pilot Flags Under- and Over-Invoicing at Tanjung Priok Port

Indonesia · Jakarta · See the Indonesia profile · See the Jakarta profile

Evidence: Descriptive / self-reported Top 74% 47/100 · Ask Evidence Copilot about this practice

Indonesia's customs directorate piloted Trade AI at Tanjung Priok port, comparing import declarations against real-time market prices to flag under- and over-invoicing; the initial trial recovered Rp1.2 billion — a modest but real early result, not yet replicated elsewhere.

Rp1.2 billion ≈US$76,000
Detected under-declared cargo value increase (initial trial, Tanjung Priok, Dec 2025)
Trade AI — Indonesia's Customs Pilot Flags Under- and Over-Invoicing at Tanjung Priok Port

Details

Maturity
Pilot
Promoter
Direktorat Jenderal Bea dan Cukai (Directorate General of Customs and Excise), Ministry of Finance
Period
December 2025–
Keywords
customs, trade fraud detection, tax and revenue administration

Context

Indonesia's Directorate General of Customs and Excise (Bea Cukai), part of the Ministry of Finance, faces persistent under-invoicing and over-invoicing fraud that importers use to evade duties or move value across borders undetected.

Objectives

In December 2025, the Finance Minister launched a package of new digital customs tools at Tanjung Priok Port, Indonesia's busiest container port, including a container X-ray scanner with a radiation portal monitor, a Self-Service Report Mobile app, and Trade AI, which cross-references declared import prices against real-time market price data to estimate cargo-value shortfalls automatically.

Activities

Trade AI is designed to integrate with Bea Cukai's existing CEISA customs-processing platform, alongside an existing AI chat assistant (Tasya AI) already used for operational queries, aiming to catch price manipulation without manually re-checking every shipment.

Results

The only confirmed, independently reported figure to date is a Rp1.2 billion (roughly US$76,000) increase in detected under-declared cargo value from the initial trial at Tanjung Priok, reported by the Finance Minister and covered by multiple Indonesian outlets.

Conclusions

Officials' stated ambition of reaching close to 100% detection accuracy within a year is a forward-looking target, not a measured result, and the system has not yet been evaluated or reported at any port beyond this single trial — a genuinely early-stage pilot whose modest confirmed impact should not be overstated.

Implementation

Indicative cost
Medium (€50k–€500k) — No public cost figures were found; conservatively banded medium given the bundled investment in X-ray scanning, a mobile app and an AI price-comparison tool at one of Indonesia's busiest ports.
Time to results
Short (< 1 year) — Launched December 2025 as an initial single-port trial; banded short given the brief operating history.
Staffing & skills
Bea Cukai (Directorate General of Customs and Excise) operational staff at Tanjung Priok

Conditions for success

  • Integration with the existing CEISA customs-processing platform
  • Access to real-time market price data to compare against declared import prices

Common failure modes

  • Only one modest, ministerially announced figure exists (Rp1.2bn), with no independent audit or disclosed methodology
  • The near-100%-accuracy target is an unverified future ambition, not a measured result
  • Trialled at a single port only, with no evidence yet of national rollout

Where it fits

Governance type
national customs authority (Ministry of Finance)
Scale
single port pilot (Tanjung Priok)
Income level
lower-middle-income

Commonly funded by

National / regional programmes

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Data sources

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