摘要:
Disclosed are systems and methods for intelligently transforming data to generate improved output data, including, for example, for use in a multi-application network with disparate parties. The systems and methods include transforming data using a probabilistic network and a knowledge base generated using historic data to generate improved output data and include the steps of receiving first data associated with a first user and associated with a first incident object. In some embodiments, the systems and methods include generating a first computing object, transmitting the first computing object, receiving a first selection, transmitting a data collection computing input tool, receiving a second selection, receiving second data comprising a first image of a first incident object, transmitting the second data, transforming the second data using a probabilistic network, a machine learning model, a knowledge base, and a data group associated with patterns of processed historic data, and generating improved output data.
摘要:
Systems and methods for tracking repair facility performance in a replacement rental vehicle context are disclosed. Aggregate data that is indicative of a repair performance quality by the repair facility with respect to a plurality of disabled vehicles that are associated with a plurality of replacement rental vehicle reservations can be computed, and a determination can then be made based on this computed aggregate data as to whether the repair facility has satisfied a benchmark.