Engineering Design & Tender Documentation Copilot
From engineering inputs to tender documents.
View case
AI Inventory Management Platform
Stock, demand and prices behind every purchase.
The challenge
A large manufacturer bought raw materials without a joined-up view of stock, demand and price movements, leading to excess stock in some materials and shortages in others.
What we built
An AI-driven inventory and procurement intelligence platform for a large industrial manufacturing business, supporting stock-demand matching, raw material price visibility, inventory recommendations and dynamic procurement planning. It improves procurement decisions, reduces manual analysis and supports better inventory control.
The AI layer
- AI-driven recommendations support inventory and procurement decisions.
- Planners review recommendations before acting.
How it works
The workflow, step by step.
- 01Stock and demand synced
- 02Prices tracked
- 03Gaps identified
- 04Recommendation made
- 05Plan approved
Architecture
How the pieces connect.
Inputs
- Inventory levels
- Demand
- Raw material prices
The system
- Stock-demand matching
- Price visibility
- Recommendations
- Procurement planning
- Inventory control
AI
- AI-driven recommendations support inventory and procurement decisions
- Planners review recommendations before acting
People
- Planner
- Procurement manager
Outputs
- Recommendations
- Procurement plans
Functional architecture. Integrations and hosting are tailored to each client's environment.
Modules
Everything in one system.
01Stock-demand matching
Stock set against demand for every material.
02Price visibility
Raw material price movements in view.
03Recommendations
Suggested inventory actions.
04Procurement planning
Dynamic plans that adjust as conditions change.
05Inventory control
Better control over what is held.
Interface preview
What your team would see.
Illustrative interface · sample data
Who uses it
Built around real roles.
Planner
Reviews recommendations and adjusts plans.
Procurement manager
Approves purchasing decisions.
Aluminium prices start rising while stock covers about nine days of forecast demand. The platform recommends bringing the next order forward, and the planner approves the revised plan.
Build your version
Start here, extend further.
Capabilities we can build on this foundation for your version of the system.
- Supplier lead-time and reliability scoring
- Scenario planning for price shocks
- ERP integration for automatic purchase requisitions
- Safety stock optimisation
- Commodity hedging insights
Questions
What clients ask us.
Does it place orders automatically?
It recommends, and planners review and approve. ERP integration for purchase requisitions can be added.
Which materials can it cover?
Any raw material with stock, demand and price data can be included.
Can you build a version of this for our business?
Yes. Every system starts with a discovery conversation about your workflow, data and goals, and we adapt the design to fit. Most engagements produce a working, testable system within a few weeks to a couple of months, depending on scope.
Can it integrate with the systems we already use?
Integration with existing tools such as ERPs, accounting packages, databases and document stores is scoped during discovery, so the system fits around how you already work.
Build your AI operating layer with Airmid AI.
Let us turn your data, documents, processes, and expertise into a durable competitive advantage.
Book a consultation →