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Understanding User Intent in Searches

The goal of a customer’s search query goes beyond the words they type—it’s about their expectations and needs. Layers understands the subtleties of user intent, uncovering what users truly seek, whether it’s product features, price points, or categories.

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How Layers Deciphers User Intent

Layers employs a two-fold approach to interpret search intent:
  • Analyzing Query Structure: It detects phrases indicating intent, like “cheap smartphones” or “winter coats for toddlers.”
  • Utilizing Contextual Clues: It understands contextual hints, so a search for “latest” may imply the newest products.

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Diverse Example Scenarios

  • Budget-Conscious Searches: For queries like “inexpensive laptops,” Layers might apply a price filter.
  • Specific Features: A search for “4K HDR TVs” shows a clear preference for high-resolution features.
  • Eco-Friendly Options: The term “recycled paper journals” reflects a desire for sustainable products.

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Leveraging Technology for Precision

Layers uses natural language processing (NLP) and machine learning to accurately parse and learn from user queries, improving its ability to anticipate and meet search intent. With user intent processing, Layers doesn’t just meet user expectations—it exceeds them. This intelligent feature crafts a shopping experience that’s tailored and delightful, boosting customer loyalty and conversion rates.