Supply Chain

With supply chain management becoming increasingly complex, companies can leverage data to become more responsive and maximise efficiency. And by better understanding customer and market trends, supply chain managers can predict and proactively strategise supply chain-related activities.

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Data that can help identify trends and customer preferences, optimise manufacturing processes, ensure parts supply, monitor goods movements.


Data that can be used to maximise operational efficiency, improve forecasts, mitigate safety risks, identify synergies with other sectors.


Data to help reduce component waste, identify and reduce process inefficiencies, manage demand, project inventory need and increase visibility.

Food & beverage

Data to improve end-to-end traceability solutions, understand customer trends and predict demand, optimise packaging for transport and storage.


Data for improved demand forecasting, yield and network optimisation, manufacturing performance, and available-to-promise accuracy.


Data for real-time delivery management, improved order picking and vendor management, automated product sourcing and segmented supply chains.

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Databroker team picks

Industrial machine process data (imagery)


Industrial machine process data (sensory)


Dns data


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