Abstract
In multi-channel e-commerce, merchants may utilize separate product data feeds, for instance, for online and local inventory, which can lead to data conflicts and inconsistencies that may not be detected by single-feed validation checks. A system for automated, cross-feed auditing can address these potential issues. The system can integrate and cross-reference data from multiple sources, including online, local, and historical data repositories, to create a more comprehensive view of product data. It may use analytical modules to identify price or availability discrepancies between feeds, diagnose reasons for suppressed promotional badging based on time-series rules, and suggest missing product attributes based on market trends. This approach can facilitate the identification, prioritization, and remediation of data integrity issues that could impact advertising performance.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
N/A, "System for Automated Cross-Feed Auditing of e-Commerce Product Data", Technical Disclosure Commons, (August 26, 2026)
https://www.tdcommons.org/dpubs_series/11485