Transforming content search and discovery for a digital advertising and ecommerce leader
Revolutionized our client’s content search and discovery by enhancing data labeling quality from 86% to 98%, implementing a robust quality management framework and significantly improving data classification labeling accuracy.
A prominent US-based multinational in digital marketing and ecommerce, specializing in internet-related services, has partnered with us to transform its online content and product metadata while elevating the efficiency of content search on its ecommerce platform.
The Challenge
Addressing misclassification in ecommerce
In the fast-moving world of digital storefronts and e-marketplaces, customers expect an exceptional buying experience. When search results miss the mark or contextual ads and marketing content feel irrelevant, many simply leave. One of the main reasons for unsatisfactory customer experiences is misclassified data and product attributes in content designed for ecommerce platforms. Therefore, our client aimed to establish a quality framework with the necessary procedures and personnel to manage taxonomy and perform quality assurance checks on algorithmically and manually classified data.
The Objective
Optimizing data quality and workflow efficiency
Addressing misclassification in ecommerce
In the fast-moving world of digital storefronts and e-marketplaces, customers expect an exceptional buying experience. When search results miss the mark or contextual ads and marketing content feel irrelevant, many simply leave. One of the main reasons for unsatisfactory customer experiences is misclassified data and product attributes in content designed for ecommerce platforms. Therefore, our client aimed to establish a quality framework with the necessary procedures and personnel to manage taxonomy and perform quality assurance checks on algorithmically and manually classified data.
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