Technological advancements, especially in the areas of Artificial Intelligence (AI) and Machine Learning (ML) are transforming the way businesses go about their eCommerce search experience. The integration of AI in eCommerce search is bringing forth new and more powerful experiences to the customer.
SxC provides the most effective way for customers to dynamically explore the storefront and find relevant and desired items quickly.
Tool that can be integrated with any existing search framework or system to improve relevance ranking.
Facility to ingest clickstream data to train AI/ML models to provide domain specific intelligence in the ranking.
Future proof and scalable KPIs and analytics module to measure customer interactions and engagement at various stages.
Ranking system driven by AI to understand customer’s intent and context for improved customer experience.
Modules to capture, view, and analyze improvement in the product ranking.
SxC provides intuitive tools to easily configure and manage various search features and build a seamless searching experience. It is important to make sure that the search engine understands the user and gives the most relevant results without having the user type exact jargon that appears in the catalog or be extra careful about common spellings or spacing mistakes.
With SxC, you can create an optimized and effective shopping experience for your customers, which will not only help them find the product very easily, it will also help them move to the next stage of their user journey quickly.
SxC is equipped with various features that help customers reduce the effort in finding the right product. The Search engine takes care of spacing and spelling mistakes and corrects them automatically. For erroneous search queries entered by customers, the engine provides various alternate suggestions. With our evolved type-ahead feature, customers are presented with many useful type-ahead suggestions as soon as they start typing in the search bar. A recent search feature shows customers all their recently searched queries and helps in picking up the search from the point they last left off.
SxC uses a context-based search to give very relevant results to the user. The search engine tries to determine the meaning of various keywords in the search query and map them to various attributes and facets. It also tries to determine the intent of the user and the most appropriate category type for the user’s search query. The search engine uses all such gathered intelligence on top of a keyword mapping algorithm to provide the most effective ranking of the products so that the most relevant products are displayed first.
SxC makes sure that no relevant product is left out just because the customer failed to use the same jargon as used in the product catalog. As a part of search pre-processing, the search engine uses the roots of all keywords to store and search product data to make sure that the use of singular, plural, tense, etc. do not impact search results adversely. The search engine performs an exhaustive and detailed search across various product attributes to provide the customer with a complete set of relevant products. It uses synonyms to make sure all that all appropriate products are found in the result.
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