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Use Case: Enhanced Product Discoverability

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Scenario: Navigating the Summer Collection

Emma, a fashion enthusiast, visits your online boutique in search of the perfect outfit for an upcoming beach vacation. She types “red summer dress” into the search bar, hoping to find a stylish piece that meets her needs for warm weather. However, product titles in your catalog may vary—some may be labeled “summer red dress” or “red dress for summer.” Emma requires a system that can interpret her intent and retrieve all relevant products.

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How Experro Facilitates This

Experro’s advanced search capabilities come into play to ensure Emma’s search is fruitful:
  • Semantic Understanding : The platform interprets the intent behind “red summer dress,” recognizing that Emma is looking for dresses that are both red and suitable for summer. It understands variations like “summer red dress” or “dress for summer in red.”
  • Intelligent Autocomplete : As Emma begins typing, Experro suggests relevant search terms, such as “red sundress” or “crimson beach dress,” guiding her towards popular and available options.
  • Synonym Recognition : Experro identifies synonyms and related terms, ensuring that products labeled as “scarlet sundress” or “ruby summer gown” are also presented in the search results.
  • Merchandising Rules : The platform applies predefined rules to boost seasonal items, ensuring that the latest summer collection appears prominently in the search results.

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How to Implement This with Experro Discovery

Follow these steps to ensure that your search functionality delivers a seamless experience for users like Emma:
  1. Configure Semantic Search:
    • Navigate to Discovery → Search & Autocomplete → Settings → Core Config.
    • Enable Semantic Understanding to allow the system to process natural language queries.
    • Define the product fields (e.g., Categories, Color) that should be analyzed for meaning.
    • Refer to Semantic Understanding documentation for detailed setup.
  2. Optimize Autocomplete Suggestions:
    • Go to Discovery → Search & Autocomplete → Autocomplete.
    • Ensure that the Autocomplete section is fine-tuned with relevant popular keywords.
    • Add common variations for terms like “red summer dress” to help guide users toward appropriate suggestions.
    • Refer to Autocomplete Configuration Guide.
  3. Set Up Synonym Mappings:
    • Navigate to the Synonyms tab within Search & Autocomplete.
    • Add synonyms for key search terms. For example, map “sundress” to “summer dress” and include related terms like “scarlet” and “crimson.”
    • This ensures that even if a product is described using different terminology (e.g., “ruby summer gown”), it is still retrieved in the search results.
    • Refer to Synonyms Documentation.

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Outcome

By implementing these technical enhancements, Emma is presented with a curated selection of red dresses that match her search intent—even if the product titles differ. The intelligent combination of semantic search, optimized autocomplete, and synonym mapping ensures that:
  • All Relevant Products are Displayed:
    Emma finds a comprehensive list of red dresses, including variations she might not have initially considered.
  • User Time is Saved:
    With precise, real-time suggestions and a boosted display of seasonal items, Emma quickly locates her desired product.
  • Conversion Rates Increase:
    A streamlined and effective search experience leads to higher customer satisfaction and a greater likelihood of purchase.
This use case illustrates how Experro Discovery transforms the product search process, ensuring that customers like Emma experience a seamless journey from query to purchase.