SUPPLY CHAIN
AI and graph technologies have found their natural home in the supply chain industry. By creating a visual representation of the supply chain network, it can represent suppliers, customers, manufacturers and distributors and the relationships between them which helps identify any issues and highlights opportunities for improvement. It can also help predict supply/demand trends and track sustainability efforts.
USE CASES
Value Chain: Raw Materials to Ingredients and Packaging
Working with a multinational manufacturing company we created a value-chain analysis product covering the raw materials to final ingredient chain for those materials required by, but not produced by, the company including primary production and intermediate-good supply.
Key features:
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Full mapping of what-makes-what-with-what for all raw materials
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Integration of live data feeds from external providers
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Cost modelling
Key software architecture elements:
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API gateway
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Internal data lake
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Graph query engine
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Chatbot interface with visualisation