Transparency in Supply Chains Through AI
What if you could track every step of your supply chain—from ingredient to finished product? What if you could instantly understand how changes at one supplier affect your entire production line?
Meet Our Supply Chain Ontology
We've built a supply chain ontology for a brewery and transformed it into an intelligent knowledge graph. Explore how products, raw materials, manufacturers, wholesalers, and production batches are interconnected.
Try It Yourself
Open the supply chain knowledge graph and ask the AI assistant anything about the supply chain, explore product relationships, or trace product origins. Experience how complex supply chain structures become transparent through conversational AI.
Example Questions:
- Which products are manufactured by which producers?
- Show me all product instances and their expiration dates
- Which wholesalers stock which products?
- How are the bills of materials structured for our products?
- Which batches were produced when?
- Trace the supply chain for "Elbe Hell"
Chat with the Brewery Supply Chain here.
Understanding our Demo Brewery
Our demo brewery ontology includes:
Products
- Elbe Hell - Light lager from Hamburg
- Elbe Pils - Classic pilsner
- Elbe Dunkel - Dark lager
- Alpen Hell - Light beer from Munich
- Alpen Märzen - Traditional Märzen
- Alpen Weißbier - Bavarian wheat beer
Manufacturers
- ElbeBräu Hamburg - Northern German brewery
- Alpenquell München - Bavarian traditional brewery
Wholesalers
- NordGetränke GmbH - Northern German distributor
- SüdBier Handel - Southern German wholesale
- EuropaBrew Import - International distribution
Supply Chain Elements
- Bills of materials
- Production batches with production dates
- Product instances with serial numbers and expiration dates
- Supply relationships between manufacturers and wholesalers
Why This Demo Matters
This interactive demo shows how an intelligent knowledge graph can:
- ✅ Create complete transparency across the entire supply chain
- ✅ Enable traceability of products to their origins
- ✅ Reveal relationships between products, manufacturers, and distributors
- ✅ Make batches and expiration dates trackable for quality management
- ✅ Identify optimization opportunities in the supply chain
From Demo to Practice
Supply chain management is complex. Our knowledge graph approach makes it:
- Transparent - See all connections at a glance
- Interactive - Ask questions in natural language
- Current - Query data in real-time
- Integrated - All information in one place
Ready for Your Own Supply Chain?
The brewery demo shows how powerful knowledge graphs can be for supply chain management. Imagine having this level of transparency for your own supply chain. Sign up for a Metapad trial now.
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This content was written collaboratively with AI.