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Creating Rich Shopping Experience with Content Classification

The customer is one of the most popular and advanced technology companies in the world. They partnered with GlobalLogic in 2013 to streamline their e-Commerce business and improve the experience for the end users. The end customers are constantly shopping and comparing prices online between different vendors. The customer’s mission was to make every information organized and make it universally accessible and useful with a huge focus on innovation, retention and user experience.

Engagement

As part of the engagement, Globallogic took complete ownership of managing the shopping categorisation by using machine learning to automatically classify the merchant offers into one category. This helped maintain product accuracy, creation of a rich & browsable shopping experience for end-users, while improving search ranking.

GlobalLogic leveraged its content moderation expertise to further design and develop taxonomies and other data-models for shopping, user-facing and merchant-facing use cases. The team checked and filtered out blacklisted content to yield better accuracy and relevance of the data captured. GlobalLogic also provided intelligent data analysis in order to improve the queries along with identification of incorrect or missing catalogue information and duplicate offers.

Content-Classification-Main

Outcome

  • GlobalLogic is helping the customer classify ~15M products monthly in English and over 40 locales across 18 Meta Clusters further spread across 5000+ categories.
  • Reviewing missing, incorrect and duplicate catalog information for ~8M products monthly.
  • Filtering & matching factual concepts of ~1M products monthly.
  • Verifying brand legitimacy, establishing brand identity, and defining cross-category relationships.

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As many organizations are continuing to navigate the chasm between AI/GenAI pilots and enterprise deployment, Hitachi is already making significant strides. In this article, GlobaLogic discusses the importance of grounding any AI/GenAI initiative in three core principles: 1) thoughtful consideration of enterprise objectives and desired outcomes; 2) the selection and/or development of AI systems that are purpose-built for an organization’s industry, its existing technology, and its data; and 3) an intrinsic commitment to responsible AI. The article will explain how Hitachi is addressing those principles with the Hitachi GenAI Platform-of-Platforms. GlobalLogic has architected this enterprise-grade solution to enable responsible, reliable, and reusable AI that unlocks a high level of operational and technical agility. It's a modular solution that GlobalLogic can use to rapidly build solutions for enterprises across industries as they use AI/GenAI to pursue new revenue streams, greater operational efficiency, and higher workforce productivity.

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