Chapter 1

Foundations of SC Analytics

Role of data analytics in supply chain decision making

medium • 1 min read

Types of analytics (Descriptive, Predictive, Prescriptive, Cognitive)

medium • 2 min read

Data sources and Data lakes for SC

medium • 3 min read

Key data management challenges in supply chain

medium • 4 min read

Data visualization tools and SC dashboards

medium • 5 min read

Chapter 2

Descriptive Analytics in SCM

Spend analytics and supplier profiling

medium • 1 min read

Diagnostic analytics on stock-outs and delays

medium • 2 min read

Benchmarking operations and SLA compliance

medium • 3 min read

Customer profitability analysis

medium • 4 min read

Mapping internal performance metrics

medium • 5 min read

Chapter 3

Predictive Analytics in SCM

Advanced demand forecasting models (ARIMA, Exponential Smoothing)

medium • 1 min read

Machine learning algorithms for demand sensing

medium • 2 min read

Predicting supplier disruptions and risk scoring

medium • 3 min read

Predictive maintenance for manufacturing assets

medium • 4 min read

Forecasting transport rates and price indexing

medium • 5 min read

Chapter 4

Prescriptive Analytics and Optimization

Network optimization models (Mixed Integer Linear Programming)

medium • 1 min read

Inventory optimization across multi-echelon networks

medium • 2 min read

Vehicle routing optimization algorithms

medium • 3 min read

Pricing and revenue optimization in logistics

medium • 4 min read

Simulation modeling in SC design (Monte Carlo, Discrete-event)

medium • 5 min read

Chapter 5

Advanced AI/ML Applications

Natural Language Processing for contract and sentiment analysis

medium • 1 min read

Digital Twin models for supply chain scenario planning

medium • 2 min read

Cognitive supply chains and autonomous planning

medium • 3 min read

Graph databases for tracking tier-N supplier networks

medium • 4 min read

Building an analytics-driven SCM capability

medium • 5 min read