Fuzzy Search Product Filter WooCommerce
Powerful product search plugin with search suggestions to make the search process easy. Offer the visitor the products in the shortest possible time.
Features
Search by fuzzy criteria
Find a product whose exact name the user does not know. Allows the user to make mistakes in words, break the order, or skip words in the search phrase.
Search across a wide range of taxonomies
Search can be done by Titles, Attributes, Tags, Categories, Description, Short Description, SKUs and even Meta fields.
Smart Autocomplete
Autocomplete, which can be built on the basis of categories, brands, search history or predictions, makes it possible to offer the user popular products even before the start of the search.
Ajax search
Product filtering and displaying results in a browser will be run in the background without full page reload.
FAQ / Docs
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Why do I need WooCommerce product filter?
On most eCommerce WordPress sites based on WooCommerce, customers start searching for products by typing a keyword into the search bar. If your store has a lot of products, they might have to scroll through many pages to find what they need.
This can make their shopping experience frustrating.
You can solve this problem by adding advanced filters and search options to your WooCommerce store. This will make it much easier for customers to find what they are looking for, improving their overall experience.
What is Fuzzy Logic in eCommerce?
Fuzzy logic in eCommerce refers to a form of decision-making that mimics human reasoning by handling vague or imprecise data. Unlike traditional systems that rely on strict rules and exact matches, fuzzy logic can interpret uncertain or approximate information, making it useful in scenarios where customers’ search queries or preferences might not be precise. Here’s how it can be applied in eCommerce:
1. Improved Product Search
- Handling typos and synonyms: Fuzzy logic allows search engines to understand variations and misspellings in keywords. For example, if a user types “blu shurt,” the system can recognize that they probably meant “blue shirt.”
- Better understanding of vague queries: If a customer searches for “affordable shoes,” fuzzy logic can interpret this and show products that match the concept of affordability, even if the word “affordable” is not explicitly tagged.
2. Personalized Recommendations
- Recommending similar products: Fuzzy logic can suggest products that are not exactly the same but share similar attributes, such as color, style, or price range. This can help customers discover new items they might like.
- Contextual suggestions: By analyzing browsing behavior and purchase history, fuzzy logic can offer personalized recommendations that align with the customer’s general preferences, even if their searches are not very specific.
3. Advanced Filtering and Faceting
- Handling broad criteria: When customers use filters like “cheap,” “medium quality,” or “new,” fuzzy logic can interpret these subjective terms and display products that meet these fuzzy criteria.
- Intuitive range filtering: For example, if a customer is looking for “mid-range laptops,” the system can use fuzzy logic to show products within a reasonable price and performance range without needing exact specifications.
4. Dynamic Pricing and Promotions
- Flexible discount rules: Fuzzy logic can help in setting up more dynamic pricing strategies. For instance, it can determine when to apply discounts based on a range of conditions, like “if the cart value is approximately $100” or “if the product has been in stock for a while and is somewhat overstocked.”
- Bundling similar products: It can group similar items together to create bundles or promotional offers, even if they are not identical but share enough characteristics to be considered a set.
Benefits of Fuzzy Logic in eCommerce
- Better search accuracy: Helps customers find what they want, even if their search terms are not exact.
- Enhanced user experience: By understanding vague or imprecise inputs, fuzzy logic creates a smoother and more intuitive shopping experience.
- Increased sales: Customers are more likely to purchase if they can easily find relevant products and receive personalized recommendations.
Overall, fuzzy logic makes eCommerce systems more adaptable, user-friendly, and efficient by handling uncertain, incomplete, or imprecise information.