One of the largest digital platforms for cargo and customs, processing hundreds of thousands of import/export transactions daily.
Cross-border trade facilitation, customs compliance, and digital cargo management for governments and logistics providers.
Secure, real-time processing of trade declarations and shipments across multiple countries, time zones, and customs regimes.
Strengthen legacy rule-based controls with AI-led risk detection that spots hidden threats early, reduces manual review burden, and protects the supply chain from high-impact non-compliant shipments.
Risky shipments were classified as safe, slipping past checks and increasing exposure to undetected violations.
Benign transactions triggered frequent alerts, overwhelming analysts and diverting attention away from genuinely suspicious shipments.
Compliance teams sifted through huge queues manually, spending hours clearing low-risk cases instead of investigations.
Constant low-value alerts reduced focus, making it easier for critical high-risk shipments to be overlooked.
Outcomes from reviews never fed back, meaning detection logic stayed static while fraud tactics evolved.
Multi-layered statistical and value-based checks uncover outliers in volume, pricing, and patterns that static rules miss.
Ensemble of statistical detectors, Isolation Forest, and XGBoost cross-checks each transaction, escalating high-confidence risks automatically.
Highlights suspicious factors like unusual product codes, routes, ports, or behaviour shifts, giving analysts instant investigative context.
Flags only a narrow, high-risk slice of traffic, cutting noise and directing analyst time to meaningful cases.
Analyst labels feed back into models, sharpening risk detection accuracy and adapting to evolving fraud tactics over time.
Core transaction engine for petty cash disbursements and advance tracking
"Petty Cash Supplier" approach, enabling traceable AP workflows
API-led integration connecting field mobile apps to Fusion systems
Real-time dashboards and visual analytics for construction managers
Historical spreadsheet migration with data validation and rollback support
70% improvement in detection accuracy – AI models surfaced high-risk transactions legacy rules routinely missed, reducing exposure to fraud and illicit trade.
0.6–0.8% of transactions flagged – From a base of 500,000 records, only a precise high-risk slice is escalated, eliminating alert fatigue.
50% reduction in manual review load – Better scoring and richer context freed analysts from low-value checks, accelerating investigation of genuine threats.
Sharper, faster decisions – Attribute-level explanations and unified risk scores gave compliance teams the confidence to act quickly, not cautiously.
Stronger regulatory defensibility – Transparent models, auditable logic, and structured feedback loops created a clear evidence trail for internal and external reviews.
Core backbone for data pipelines, feature engineering, model orchestration, and ICS backend services.
Drive supervised and unsupervised model training, evaluation, and scoring for high-accuracy risk detection.
Handle large-scale data wrangling and statistical computation, ensuring clean, reliable inputs for all models.
Powers an intuitive analyst dashboard for reviewing alerts, exploring explanations, and submitting feedback without writing code.
You’re one step away from building great software. This case study will help you learn more about how Simform helps successful companies extend their tech teams.
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You’re one step away from building great software. This case study will help you learn more about how Simform helps successful companies extend their tech teams.
