E-COMMERCE USE CASES

We use natural language processing to narrow, contextualize and improve search results with a query context-processing accuracy which leads to more precise product recommendations and reduced cart abandonment.

We continuously improve search algorithms on the website by improving human tagging of data to create better product descriptions. We access search queries of shoppers and match them with correct products in the store.

We help design and train models that automatically tag search content and organize it and discover complementary products based on simple as well as non-direct parameters.

Reviews can have a determining role in a buying decision as before buying a product online, shoppers often refer to how existing users rate it.

We moderate reviews on every product as they are posted and remove any inaccurate or improper review content. We strengthen spam prevention and highlight well-written and comprehensive reviews on the website.

Our annotation experts tag reviews to enable building data models and improve the accuracy of models to identify reviews for human moderation or bot action. They refine data models to filter product reviews automatically, reducing the need for human involvement over time.

Our e-commerce services enable you to promote, cross-sell, and upsell products on multiple channels according to the individual needs of customers; e.g. recommending a 3-pack lens kit with a discount to a shopper who has just bought a DSLR camera.We manually review the profile of every customer and build a profile database by linking distinct data sets like shopping pattern, web behavior, POS, etc. We test, validate and tag customer data to design accurate prediction models for their future purchase.

We ensure all the advertisements placed on in-house or a third-party website comply with policies. We manually review every promotional content to check its accuracy and remove any improper content or other compliance-related issues.We also ascertain that all advertisements, as well as landing pages, are tagged correctly so that they match and improve conversion. Simultaneously, a thorough manual review also assures a better ROI on in-site marketing efforts i.e. improved sales, up-selling and cross-selling.

While bots are an effective first-line assistance, many of them are not capable to answer complex questions and require human intervention which is expensive and prone to human errors.

Our data experts build data for chatbots to improve their efficiency. They continuously analyze, tag and annotate queries and comments of customers to improve bot responses over time.

Besides, enhancing the self-service experience for customers, improved customer-bot interactions minimize the need for additional human staff, reducing the cost of operations significantly.