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Fintech & Risk Intelligence•E-Commerce Logistics & Security
Fraud Checker - AI-Powered Courier Risk & Return Detection
An intelligent risk assessment engine aggregating parcel return histories across multiple courier APIs to compute buyer reliability scores and prevent fake Cash-on-Delivery (COD) orders.
Multi-Courier Aggregation
Connects to Steadfast, Pathao, RedX, and Paperfly APIs simultaneously.
Predictive COD Risk Rating
Computes a 0-100% trust score based on return frequency and address signals.
Instant Browser Extension
Overlays buyer credibility badges directly on Shopify and WooCommerce.
Fintech & Risk Intelligence
Fraud Checker - AI-Powered Courier Risk & Return Detection
E-Commerce Logistics & Security Client: LogiShield IntelligenceJune 2026
E-commerce merchants frequently lose significant revenue due to fake orders, chronic customer refusals, and uncollected Cash-on-Delivery shipments. Syntor IT engineered Fraud Checker, a centralized risk engine that aggregates parcel delivery success rates across major national courier APIs, calculating predictive customer credibility scores before dispatch.
Platform Architecture & Delivery:
Cloud Risk API, Merchant Chrome Extension, E-Commerce Webhook Hub, Fraud Analytics
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Visual System Tour
System Interface & Key Screens
Interactive multi-angle view of production screens and user workflows
Screen 1 / 4
TECHNOLOGIES
Tools of the Trade.
Employs an ultra-fast async Python API that queries distributed Redis phone hash tables in under 30ms.
Python & FastAPIHigh-Velocity Backend
Scikit-LearnData & Machine Learning
01Initial Requirements
02Feasibility Analysis
03Proof of Concept
04Team Expertise
05Cost Optimization
06Risk Assessment
High-Velocity Backend3 Items
Python & FastAPI
Asynchronous microservice handling sub-50ms risk scoring queries.
Node.js & Express
Webhook dispatch and merchant gateway routing.
Redis Cluster
High-throughput phone number cache for instant lookups.
Data & Machine Learning2 Items
PostgreSQL
Big-data relational warehouse storing millions of historical parcel events.
Scikit-Learn
Predictive scoring algorithm analyzing delivery success patterns.
What The Client Required
A detailed breakdown of the functional deliverables, architectural constraints, and business automation workflows specified by LogiShield Intelligence.
Multi-Courier Data Aggregation
- Unified API connector indexing parcel delivery & return metrics across top courier services (Steadfast, Pathao, RedX, Paperfly).
- High-speed phone number and shipping address anomaly identification engine.
- Automated phone number normalization and multi-account identity resolution.
Predictive Risk Scoring
- Machine learning heuristic calculating 0-100% customer trust scores based on past return ratios.
- Configurable merchant thresholds to flag high-risk buyers (e.g. over 30% return history).
Merchant Integration
- Instant Shopify, WooCommerce, and custom webhooks to auto-hold or flag suspicious orders.
- Browser extension overlaying customer credibility metrics directly inside merchant admin panels.
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Challenges
1
Disparate courier APIs had conflicting response formats, inconsistent status definitions, and rate limits.
2
Merchants required real-time response times (under 100ms) during checkout to avoid slowing buyer experience.
3
Safeguarding user privacy while establishing reliable fraud detection benchmarks.
✓
Solutions
Built a standardized courier adapter layer that normalizes varied parcel statuses into unified delivery vectors.
Cached high-frequency phone records in multi-node Redis clusters, delivering sub-30ms response times.
Applied one-way cryptographic hashing to sensitive identifiers while preserving aggregated return counts.
The Outcome
Merchants using Fraud Checker reported a 72% reduction in uncollected returns, saving thousands in wasted shipping fees.
72%
Return Rate Reduction
<30ms
API Response Time
4.2M+
Parcel Records Indexed
1,200+
Merchants Protected
Fraud Checker has transformed how merchants handle Cash-on-Delivery sales, protecting profit margins and eliminating redundant shipping fees.
Our Approach
1
Normalized Data Pipelines
Standardized heterogeneous courier payloads into unified trust signals.
2
Sub-Millisecond Caching
Utilized memory-first caching for zero checkout latency.
3
Merchant Empowerment
Designed intuitive risk badges (Safe, Moderate, Critical) for cashier staff.
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