Customs Intelligence Dashboard
AI-powered trade mis-invoicing detection Β· UN Comtrade cross-matching Β· Kenya & Tanzania data integration
π¨ 14 shipments flagged today β declared values are more than 20% below UN Comtrade benchmark prices. Total estimated duty evasion in flagged shipments: UGX 2.4 billion. Customs officers assigned to physical inspections.
Flagged Today
14
Declared >20% below benchmark
Duty Evasion (Today)
UGX 2.4B
Estimated in flagged shipments
Recovered (Month)
UGX 4.8B
Additional duty collected
Average Undervaluation
-34%
Flagged shipments vs benchmark
Live Shipment Feed
β LiveTop Under-valued Commodity Categories
Monthly Duty Recovery β AI Detection vs Traditional Inspection
Traditional random inspection (pre-AI)UGX 420M/month avg
AI-targeted inspections (post-deployment)UGX 4.8B/month
β AI-targeted inspections recover 11.4x more duty per inspection than traditional random checks. Same number of customs officers β dramatically better results.
Flagged Shipments
14 shipments today where declared value is significantly below UN Comtrade benchmark β held for inspection
Check a Customs Declaration
Enter a shipment's declared details β AI cross-checks against UN Comtrade and historical data in real time
π¦ Declaration Details
βΉ How the check works: Your declared price per unit is compared against: (1) UN Comtrade benchmark price for the same commodity from the same origin country, (2) your own last 12 months' import history, (3) Kenya customs export data for the same commodity. Any declaration more than 20% below the expected value is flagged.
π UN Comtrade Benchmark Prices
UN Comtrade Reference Prices
Current benchmark prices used by the AI β updated monthly from UN Comtrade international trade database
βΉ These are the reference prices the AI uses to validate every customs declaration. If a shipment's declared price is more than 20% below the relevant benchmark, it is automatically flagged for inspection.
Benchmark Price Table β Major Import Categories
| Commodity | HS Code | Origin | Benchmark (USD/tonne) | Threshold (β20%) | Last Updated | Source |
|---|
Importer Risk Profiles
AI-generated risk scores for Uganda's top importers based on declaration history and anomaly patterns
Top 20 Importers by Risk Score
| Importer | TIN | Top Commodity | Shipments (Year) | Avg Undervaluation | Duty Recovered | Risk Score | Status |
|---|
Gold & Minerals Intelligence
Uganda's biggest customs fraud is gold and mineral mis-invoicing β exports declared far below real value
π¨ The gold smuggling crisis: Uganda exported USD 514 million in gold in 2022 β but only USD 2.9 million was domestically produced. The rest came from DRC, often smuggled through Uganda to avoid DRC export taxes. Meanwhile, legitimate Ugandan gold exports are routinely under-invoiced. A 2016 Auditor General report found mining companies owed UGX 41.4 billion in unpaid royalties. This is the single largest customs fraud category.
π₯ Gold Export Mis-invoicing Detection
2024 Gold Export Anomaly
Declared export valueUSD 281M
AI estimated true valueUSD 620M+
Estimated under-declarationUSD 339M+
The AI cross-references every gold export against: (a) LBMA (London Bullion Market) spot price, (b) refinery destination import data, (c) declared weight vs aircraft/truck cargo manifests, (d) known DRC smuggling corridor patterns. Any declaration where price-per-gram is more than 15% below LBMA spot is flagged immediately.
Gold Royalty Compliance Rate42%
Declarations within 15% of LBMA58%
DRC-origin gold declared (est.)71%
Other Minerals at Risk
Coltan (Tantalite)
Avg declared: $12/kg Β· Market: $40β80/kg
Wolfram (Tungsten)
Under-declared in 60% of export declarations
Limestone & Marble
Construction mineral β often declared as gravel
Cobalt
Growing importance β DOGE battery supply chain
π‘ Solution: Mandatory GPS tracking for all mineral export vehicles from mine to border. Weight certificates from certified scales at point of loading. Cross-reference with refinery receipt at destination country.
Border Corridor Intelligence
Risk analysis by entry point β which borders have highest mis-invoicing rates
Uganda Border Entry Points β Risk Map
Border Point Risk Rankings
| Border | Shipments/Day | Flag Rate | Avg Underval. | Risk Level |
|---|---|---|---|---|
| Malaba (Kenya) | 840 | 4.2% | -38% | Critical |
| Busia (Kenya) | 420 | 3.1% | -29% | High |
| Kasindi (DRC) | 184 | 6.8% | -62% | Critical |
| Katuna (Rwanda) | 142 | 2.8% | -24% | High |
| Entebbe Airport | 98 | 1.4% | -18% | Medium |
| Mutukula (Tanzania) | 124 | 1.2% | -12% | Low |
Revenue Recovery Reports
Monthly customs intelligence revenue impact
Duty Recovered (Month)
UGX 4.8B
From AI-flagged shipments
Uplift vs Pre-AI
11.4x
Per inspection recovery rate
Shipments Inspected
312
Targeted Β· Not random
Monthly Recovery by Category
| Category | Flagged | Inspected | Confirmed Fraud | Duty Recovered | Trend |
|---|---|---|---|---|---|
| Steel & Metal Products | 84 | 84 | 72% | UGX 1.84B | β 14% |
| Electronics & Machinery | 62 | 62 | 58% | UGX 1.24B | β 8% |
| Textiles & Garments | 48 | 48 | 64% | UGX 840M | β 3% |
| Gold & Minerals | 28 | 28 | 89% | UGX 640M | β 21% |
| Vehicles & Spare Parts | 24 | 24 | 42% | UGX 240M | β 6% |
EAC Cross-Border Data Sharing
The most powerful fraud detection tool β comparing Uganda customs declarations against Kenya and Tanzania export data
βΉ The most reliable way to detect import mis-invoicing is to compare what Uganda says a shipment is worth with what Kenya says it exported for the same shipment. A signed MOU with the East African Community for customs data sharing would enable this in real time. This is what we help broker.
How Mirror Data Matching Works
1
Kenya exports a shipment to Uganda
KRA records the export value: USD 120,000 for 20 tonnes of steel.
KRA records the export value: USD 120,000 for 20 tonnes of steel.
2
Uganda importer declares the same shipment
Uganda customs declaration: USD 45,000 β 62.5% below what Kenya recorded.
Uganda customs declaration: USD 45,000 β 62.5% below what Kenya recorded.
3
AI flags the discrepancy immediately
System matches shipment ID, commodity code, weight, and origin. Flags UGX 2.8B in potential duty evasion on this one shipment.
System matches shipment ID, commodity code, weight, and origin. Flags UGX 2.8B in potential duty evasion on this one shipment.
4
Customs officer investigates with evidence
Officer has the KRA export certificate as hard evidence. Importer cannot argue β the source data is from a foreign government.
Officer has the KRA export certificate as hard evidence. Importer cannot argue β the source data is from a foreign government.
EAC Partner Status
Kenya Revenue Authority (KRA)
Highest volume trade corridor Β· Largest data value
Tanzania Revenue Authority (TRA)
MOU in discussion
DRC Revenue Authority (DGI)
Critical for gold β no formal agreement yet
UN Comtrade Database
Live price benchmarks β integrated already
β Revenue impact of full EAC data sharing: IMF estimates mirror-data customs intelligence recovers 15β25% of lost duty revenue in countries that implement it. For Uganda, that represents UGX 1.5β2.5 trillion annually.