A method to assess the outcomes and performance of online retailing algorithms
The system allows businesses to collect low cost, yet sufficient data to accurately and comprehensively understand the performance of online retailing algorithms and their effects on brand perceptions and performance. * The invention is a system that collects unbiased and representative marketing mix data from online retailers, such as product prices and recommendations, at a low cost. * The data generated helps online retailers and platforms evaluate the performance and reliability of their pricing and recommendation algorithms. * The data can also enable brands to perform price and recommendation audits, so as to, for instance, determine the extent to which retailers comply with agreed inline display and promotional passthrough.
About University of South Carolina
The University of South Carolina is a comprehensive public research university and the state’s flagship, known for broad disciplinary breadth and large-scale research. Industry engages through the Innovista research district, with facilities offering co‑located labs and leasable wet‑lab space, and through an Office of Economic Engagement that serves as a single front door. Integration with Prisma Health via the Schools of Medicine in Columbia and Greenville enables clinical research, training and translation. Research draws competitive federal support from agencies such as NIH, NSF, DOE and NASA, with defense sponsors also active. A dedicated commercialization team advances IP, licensing and startup formation.
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