Data-driven requirements analysis and matching
Abstract:
Techniques for data-driven requirements analysis and matching are described, including receiving an input from a notification service using a data network, the input including data associated with a requirement generated by an application configured to identify an attribute of the item, querying an endpoint in response to the input, the input being associated with a machine in data communication with a platform, transforming the input, the data, and a result to a data format using a logic module to generate match data to identify a vendor capable of manufacturing at least a portion of the item, ranking and transforming the match data to a different data format to render a display of resultant data transmitted by the platform to the notification service for display on one or more client devices used to procure a manufacturing, procurement, or distribution service for the item.
Public/Granted literature
Information query
Patent Agency Ranking
0/0