Product catalogs keep growing, not just in size but in complexity: variants, attributes, categories, and descriptions that all need to be searchable. Mezereon is built to make complex data manageable for your team and easy to search for your shoppers.
More than volume
Handling large amounts of data is only part of the challenge. Products can have dozens of attributes, such as size, color, material, and brand, and shoppers describe the same item in many different ways. A great search engine has to connect those descriptions to the right products.
Semantic search and machine learning
Semantic search focuses on the intent of the user and the context of the query rather than exact keyword matches. A search for "warm winter jacket" should find insulated coats even when those exact words never appear in a product title. Learn more in Natural Language Search.
With machine learning, search keeps learning from your data and from shopper actions, adapting to changing requirements and improving its results over time.
Making complex catalogs easy to browse
- Dynamic filters let shoppers narrow results by the attributes that matter to them
- Synonyms connect the words shoppers use with the words in your catalog
- Relevance tuning lets you decide which factors matter most
- Fast indexing keeps large catalogs quick to search
Good data in, good results out
Search is only as good as the data behind it. Consistent product titles, clear attributes, and complete descriptions give search more to work with and make filters more useful. Mezereon helps you make the most of the data you have today, and as you enrich your catalog over time, your search results improve along with it.
Have a large or unusual catalog? Talk to our team about your data.
