This research determines how large geographical datasets can be integrated with social, economic and environmental conversion factors to provide incisive guidance to companies who wish to improve supply chain practice.• This is achieved by determining the most useful content for specific algorithms that can assess connectivity and impacts of supply chain practices and enhance responsible consumption.• The methods utilised are those familiar to standard geographical analysis of data but it is the emergence of data streaming platforms and Distributed Ledger Technologies that are enabling the scaling of these contents to supply chain and population or meta levels so that they are relevant to business.• The major finding is that geographical methods can enhance the communication of sustainability and connectance claims for provenance of food and beverage

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