The complete supply chain data science handbook as Jupyter notebooks
49 production-ready Python recipes for supply chain management
12 Lessons - Build autonomous AI agents for supply chain planning procurement and logistics
Transportation procurement tender management and bid evaluation tool
19 Lessons - Master AI for Supply Chain Management from fundamentals to production
Build supply chain optimization models from zero - pure implementation step by step
Multi-modal transportation route planner — road, rail, ocean, air intermodal
Intermodal truck-rail cost transit
My GitHub profile — Founder & CEO @Quantisage | AI + Supply Chain + Climate Tech
Inventory risk pooling consolidation simulator
Activity-Based Costing for manufacturing — Kaplan & Cooper
SC scenario modeling with Monte Carlo uncertainty quantification
Min-cost network flow supply chain
Freight market rate analysis with lane-level benchmarking
AI demand orchestrator for unified demand planning across channels
Supplier network graph analysis with centrality and vulnerability
Real-time IoT data ingestion and streaming pipeline for Scope 3 carbon accounting using Apache Kafka, Spark, and PostgreSQL
Multi-tier supply chain visibility mapping and risk propagation analyzer
Truck load planning mixed SKU shipments
Supply chain risk quantification via Monte Carlo simulation
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