TECH & AI
they invest in – and train – their data . AI algorithms require vast amounts of trained data to drive value , which takes time . Every day that companies wait to build their data muscle , they fall farther behind .
Transformation success for downstream processes is easier to measure , as it usually relates back to the amount of time people save . The upstream impact is harder to measure but delivers much more powerful and strategic value , such as market competitiveness .
From where does Scoutbee draw supplier data ? Our solutions draw from practically any data point and source that is relevant to organisations ’ decision making . This includes : n Customers ’ internal data and systems n Third-party data n Supplier websites n Data available through supplier portals n Scoutbee data based on tens of thousands of supplier scoutings n Web crawlers that scour the Internet using ML models
THE GLOBAL SUPPLY CHAIN MARKET
SIZE VALUE IS
$ 15.85bn
Public data is very valuable , but it ’ s not what gives you strategic advantage . This comes from the combination of public data and internal data points . You then run deep analytics on that data to understand what is needed to optimise the supply chain .
How do you help customers tackle siloed data ? We provide a deep and holistic view of their suppliers , based on data that ’ s accurate , dynamic and enriched . We help customers find , extract and transform data , and then represent that as a knowledge graph . This graph uncovers hidden and complex relationships between entities , and enables procurement to make data-driven
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