AI for Manufacturing & Logistics
An operations guide for applying AI to maintenance, quality, forecasting, procurement, warehouse flow, and supply chain decisions where downtime and defects become real money.
EUR 149
Price
Online
Format
220 pages
Pages
Facility AI opportunity map
Downtime and defect levers
Supply chain decision model
Who It Is For
Built for people making business decisions.
COOs, plant managers, operations leaders, logistics teams, procurement owners, and manufacturing executives looking for practical AI pilots by facility or network
Use the book as an operating manual for planning AI automation, selecting the right workflows, governing risk, measuring ROI, and moving from isolated pilots to a managed automation portfolio.
Business Outcomes
Find the operational bottlenecks where AI has measurable payback
Reduce unplanned downtime, quality defects, and planning blind spots
Sequence facility-level pilots without disrupting production
Reader Signal
Built for operators who need more than AI hype.
The book is positioned for executives and implementation teams who need a practical path from pilot activity to managed automation capability.
"
The useful part is the operating model. It does not sell AI as a tool purchase; it shows how to make ownership, governance, and ROI clear enough for leadership to act.
COO, mid-market services firm
"
The value map and stage-gate model make the book practical. It gives teams a way to decide what should be automated first and what should be killed before it wastes budget.
Transformation lead, B2B operations
"
This reads like a field manual for executives. The strongest sections are governance, operations, and measurement because they address what usually breaks after the demo.
CIO advisor, enterprise AI programs
Inside the Website Reader
Chapter preview.
Why Industrial AI Starts With the Floor
Connects the chapter topic to industry-specific workflows, risk, metrics, and implementation decisions.
The Manufacturing AI Value Map
Turns abstract AI ambition into a practical map of workflows, outcomes, risks, and measurable business value.
Predictive Maintenance and Asset Health
Connects AI to physical operations: downtime, throughput, defects, planning, suppliers, and facility readiness.
Quality Inspection and Defect Intelligence
Connects AI to physical operations: downtime, throughput, defects, planning, suppliers, and facility readiness.
Demand Forecasting and Production Planning
Connects the chapter topic to industry-specific workflows, risk, metrics, and implementation decisions.
Procurement, Supplier Risk, and Shortage Signals
Defines the controls, review points, ownership, and evidence needed to use AI without creating unmanaged exposure.
Warehouse Flow and Labor Planning
Connects the chapter topic to industry-specific workflows, risk, metrics, and implementation decisions.
Transport, Routing, and Logistics Visibility
Connects the chapter topic to industry-specific workflows, risk, metrics, and implementation decisions.
Energy Usage and Facility Efficiency
Connects the chapter topic to industry-specific workflows, risk, metrics, and implementation decisions.
Data Readiness Across Plants and Systems
Connects the chapter topic to industry-specific workflows, risk, metrics, and implementation decisions.
Human Review, Safety, and Change Management
Connects the chapter topic to industry-specific workflows, risk, metrics, and implementation decisions.
The 90-Day Facility AI Pilot
Connects the chapter topic to industry-specific workflows, risk, metrics, and implementation decisions.
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