What you'll learn
Explain the real difference between automation, AI, and agentic AI - and where each genuinely earns its place
Measure forecast error, mis-positioned inventory, and empty freight as concrete P&L and balance-sheet numbers
Build a single demand signal the whole organisation trusts and translate it fast into inventory and capacity
Position stock across a network with multi-echelon logic instead of hoarding buffers at every node
Cut transport cost by attacking load-building waste and capacity-timing waste, not just negotiating rates
Design a delivery promise the network can actually keep and orchestrate the last mile in real time
Turn a control tower from screens into timed, owned, impact-ranked exception response
Design agentic orchestration across demand, inventory, transport, and last-mile with clear goals and guardrails
Cost disruption fully, prioritise risk, and build affordable resilience with pre-approved agentic playbooks
Build a CFO-auditable business case and sequence a realistic data-to-agentic transformation roadmap
Requirements
No coding required - every concept is taught in plain language
Basic familiarity with supply chain, logistics, or operations helps but is not essential
A willingness to work through simple dollar examples with a calculator or spreadsheet
Description
This course contains the use of artificial intelligence.
AI is used to reframe the words, fixing spelling mistakes and grammatical mistakes and audio conversion.
Every product you have ever bought moved through a supply chain that is still, underneath the software, a series of hand-offs - planning to procurement to inventory to transport to the last mile - and every hand-off is a place where information leaks, decisions lag, and money quietly disappears. This course is about closing those gaps with the three things actually changing our industry: automation, real AI, and goal-driven agents. It is taught first-person by Ganesh Ravikumar, a practitioner with more than twenty years inside real operations. You will not get theory and buzzwords. Every concept is taught as a real problem, the way automation, AI, or an agent overcame it, and a concrete worked example in US dollars. You will follow three recurring companies - a US grocery distributor, an India e-commerce operation, and a Brazil auto-parts exporter - across the whole chain, so the same principles land in very different environments.
You will learn to measure forecast error as a P&L number and build a demand signal teams trust; position inventory across a network instead of hoarding it locally; attack the empty space and bad timing that bleed transport budgets; design a delivery promise you can actually keep; turn a control-tower full of screens into real control; and design the agentic layer that ties demand, inventory, transport, and last-mile into one decision loop - with the guardrails, escalation, and human authority that keep it safe. You will also cost disruption honestly, make the green case pay for itself, and build a business case a CFO can audit. This is for supply-chain and logistics professionals, operations and planning managers, consultants, and anyone who wants to understand where AI and autonomous agents genuinely earn their place - and, just as important, where they do not. If you want tight, honest, dollar-grounded teaching from someone who has lived the failures as well as the wins, start here, and let's close the gaps together.
Who this course is for
Supply-chain, logistics, and operations professionals who want to modernise how their network makes decisions
Planning, inventory, transport, and last-mile managers evaluating AI and automation
Consultants and analysts who advise on supply-chain transformation
Business and technology leaders deciding where autonomous agents belong - and where they do not
Students and career-changers who want a practical, honest grounding in AI-driven supply chains



https://rapidgator.net/file/8c443eb157c51f147c08943f1a31204d/Automation_and_Agentic_AI_in_Logistics_&_Supply_Chain.part1.rar.html
https://rapidgator.net/file/bf017dc40de48a0eddf9bda370cee0c7/Automation_and_Agentic_AI_in_Logistics_&_Supply_Chain.part2.rar.html
https://rapidgator.net/file/ada1aee770f4d808dc0b865cd23bb8df/Automation_and_Agentic_AI_in_Logistics_&_Supply_Chain.part3.rar.html
https://rapidgator.net/file/b4c6215d81866a0b816f42e6dcd6844c/Automation_and_Agentic_AI_in_Logistics_&_Supply_Chain.part4.rar.html