This invention discloses a
system and method for querying and quoting
automotive transmission parts based on multi-source coding intelligent matching, relating to the field of intelligent matching technology for B2B transactions of automotive parts. It includes a store terminal and a
server. The
server comprises an input acquisition module, a dynamic symbiotic association
pool module, a parts supplier screening module, and a cross-validation and
ecosystem enhancement module. This invention utilizes a four-dimensional input matrix, a dynamic symbiotic association
pool, a dynamic weighted credibility mechanism, and a cross-validation
closed loop to solve problems in B2B transactions of
automotive transmission parts such as mixed coding,
ambiguity in regional terminology leading to inaccurate matching, frequent false alarms and misreports, and long transaction cycles. It achieves improved accuracy and efficiency in cross-regional transaction matching, self-driven
system optimization, dynamic inventory
adaptation, and dynamic formation of industry terminology standards.