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Understanding Supply Chain Analytics

Applying AI to Supply Chain

By: Saravanan Balakrishnan

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Paperback | 24 April 2026

At a Glance

Paperback
282 Pages

Dimensions(cm)
21.59 x 13.97 x 1.5

Paperback

$40.75

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Understanding Supply Chain Analytics is a practitioner's guide to both the fundamentals of supply chain management and the analytical tools that make those fundamentals intelligent. The book covers the full operational landscape - demand planning, sourcing, production, inventory, warehousing, order fulfillment, master data, and customer management - and then layers on the analytics methods that turn operational data into decisions: time series forecasting, Monte Carlo simulation, optimization models, and advanced statistical techniques.

What makes this book timely is its treatment of generative AI - not as a replacement for quantitative methods, but as a complementary layer that can explain forecasts in plain language, surface insights from unstructured data like emails and contracts, and make advanced analytics accessible to non-specialists.

Written by two practitioners with excellent supply chain experience, the book is designed for professionals who want enough analytical intuition to ask better questions, challenge black-box outputs, and build supply chains that are not just efficient on paper, but genuinely resilient in practice.

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