TradeForensics: Commerce Action Copilot

TradeForensics is an evidence-grounded operational diagnostics engine and action copilot built for high-volume e-commerce marketplaces, evaluated across 98,666 real-world orders. Modern commerce operators are paralyzed by disconnected signals: financial transactions in SQL tables, carrier delivery milestones in logistics systems, and unstructured reviews in customer service inboxes. Standard AI tools fail because vector embeddings cannot calculate statistics, leading to hallucinated numbers and un-auditable advice. TradeForensics solves this through a 4-tier hybrid forensic architecture: 1. Deterministic Analytics Engine: Calculates baseline KPIs and discovered the 5.75x dissatisfaction multiplier (late shipments cause low-rating rates to jump from 9.21% to 52.98%). 2. NLP Portuguese Topic Classifier: Categorizes complaints across 4 core operational failure modes at 97.00% accuracy. 3. LightGBM Tabular Risk Attribution: Predicts low-score dissatisfaction risk with 0.9071 ROC-AUC, isolating delay days and freight ratio as primary drivers. 4. ChromaDB Qualitative RAG: Retrieves authentic customer complaints to provide verifiable proof. A bounded Action Copilot synthesizes prioritized operational remediation checklists with Low/Medium/High effort ratings without mathematical hallucinations. Engineered for AMD Instinct MI300X accelerators with 192GB HBM3 memory and 5.3 TB/s bandwidth, TradeForensics achieves 208ms Time-To-First-Token and 68 tokens/sec throughput, enabling high-density multi-seller batch forensics.