Case Study: a leading e-commerce platform improves seller listing onboarding with Netscribes

Leading E-commerce Platform Company - Customer Case Study

A leading e-commerce platform sought help from Netscribes to reduce the time required to vet and onboard its sellers' product listings without sacrificing quality. The challenge involved processing a high volume of SKUs daily, with each listing needing to be checked for factual accuracy and compliance with specific platform guidelines, a process that was straining their resources.

Netscribes implemented a solution using an ensemble of Regression and Machine Learning models to conduct a probability analysis. This system scored each listing for its likelihood of inaccuracy and each agent on their performance. These scores were then used to optimize task allocation, matching the most complex listings with the most capable agents. As a result, Netscribes helped the e-commerce platform achieve improved productivity and quicker turnaround times for onboarding new sellers while maintaining high quality.