AI+ for Inventory and Resource Management
Reduce Waste, Optimise Stock and Allocate Resources with AI
Stop ordering by gut feel. Start managing stock with AI.
Your inventory spreadsheet is accurate right now. By Friday it won't be. You're ordering by gut feel, catching stockouts after they've cost you a customer, and spending Sunday nights reconciling counts that should run themselves. This book gives you the STOCK Protocol — five stages to move from reactive to predictive — plus 50 prompt templates that turn AI into your stock analyst, supplier reviewer, and reporting engine. Built by an AI engineering firm for operations professionals who know their stock better than anyone — and want AI to finally prove it.
- The STOCK Protocol — five-stage framework for AI-assisted inventory and resource management from demand sensing to stakeholder reporting
- Demand forecasting prompts that turn months of messy consumption data into a working 13-week forecast with documented assumptions
- Reorder point and safety stock calculations that AI handles — you provide the inputs, AI provides the maths
- Supplier intelligence workflows to track performance, draft purchase orders and performance letters, and catch supply risk before it becomes a stockout
- Waste identification and carrying cost analysis that makes the financial case for stock reduction visible to management
- A 90-day implementation plan with week-by-week actions, a STOCK Protocol self-assessment, and a template to adapt for your sector
Operations professionals, supply chain coordinators, facilities managers, warehouse supervisors, and project resource managers responsible for physical stock, materials, or resource allocation. Works in any sector — manufacturing, retail, healthcare, construction, hospitality, or professional services.
Also for:Small business owners managing their own stock; office managers who handle consumables and equipment; any line manager who allocates people, equipment, or budget across a workload.
- Apply the STOCK Protocol to structure AI use across the inventory and resource management cycle
- Use AI tools to generate demand forecasts, optimise reorder points, and right-size safety stock
- Draft supplier communications, procurement briefs, and purchase recommendations using AI
- Build AI-assisted reporting workflows that surface exceptions, variance, and status at a glance
- Design a 90-day implementation plan to embed AI into an existing inventory management role
- Diagnostic
- How AI-ready is your inventory and resource management?
- Chapter 1
- AI in Inventory and Resource Management Right Now
- Chapter 2
- Sensing Demand — AI-Assisted Forecasting
- Chapter 3
- Tracking What You Have — Visibility and Stock Audits
- Chapter 4
- Optimising Stock Levels — Reorder Points, Safety Stock and Right-Sizing
- Chapter 5
- Supplier Intelligence and Procurement Planning
- Chapter 6
- Resource Allocation Across Projects and Teams
- Chapter 7
- Waste Reduction and Cost Control
- Chapter 8
- Reporting, Auditing and Stock Accuracy
- Chapter 9
- Integrating AI into Your Existing Systems and Workflows
- Chapter 10
- Your 90-Day Inventory AI Action Plan
- Back matter
- Skill Summary · Recommended Next Reads · Glossary · Tool Reference
Built by an AI engineering firm for operations professionals who know their stock better than anyone — and want AI to finally prove it.
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