Core Concepts

Learn about the core concepts that are central to Netcore Unbxd.

Search

Search lets shoppers search for products on your site quickly and easily. UNBXD makes the search intuitive. It understands typing errors, matches similar terms (like "sneakers" and "running shoes"), and shows the best results.
As the user types, the search bar gives instant suggestions. This saves time and helps users find what they’re looking for faster.

You can also implement a powerful out-of-the-box omnichannel search that delivers consistent shopping experiences across web, mobile, and in-store channels.

Stemming

Automatically matches different forms of a word like “run” and “running”.

Synonyms

Connects words with similar meanings like “joggers” and “track pants”.

Typo Correction

Fixes spelling errors and still returns relevant results.

Spellcheck

Effortlessly detect and intuitively correct mistakes in shopper queries and avoid a zero results page.

Get Alternatives for Misspelled Search Terms

Phrases

Treats multi-word terms like “black tie dress” as a single search intent.

Concepts

Groups related items under broader themes (e.g., “formalwear” includes tuxedos, suits, etc.).

Stopwords

Filters out common filler words (like “in”, “the”) to improve query interpretation.

Autosuggest

Autosuggest displays real-time suggestions, such as keywords, categories, and popular products, as users type in the search bar. It accelerates product discovery, reduces typing effort, and guides users toward relevant results faster. This improves engagement and reduces the chances of zero-result queries.

Suggest Shoppers Trending and High-Performing Queries

Zero-Result Handling

Handles queries with no results by offering:

  • Spelling corrections
  • Similar query suggestions
  • Product/category redirects

Improve Search Efficiency by Predicting Queries

Dynamic Ranking

Automatically reorders products based on real-time user behavior signals (clicks, add to cart, conversions).
This can be overridden with manual rules. Strategically influence the position of search results to match shopper preferences, industry-specific needs, and business objectives.

Change the Position of Search Results to Match Shopper Preferences

Visual Search

Users can upload images to search visually for similar products using AI-based image recognition.

Shopping Agent

An AI assistant that guides users interactively to refine their product search based on preferences.

Product Badges

Labels like “New”, “Bestseller”, or “Trending” added to product cards to attract attention.
Configured via merchandising console using tags or attributes.

Attribute Enrichment

Automatically fills missing attributes using product titles or descriptions.

Product Card View

Defines what information (price, rating, badges) appears on product listing cards.

Dimension Mapping

Maps size- or dimension-based queries (e.g., “42-inch TV”) to relevant product attributes.


Browse

Browse allows users to explore your catalog through category navigation, filters, and merchandising enhancements.

Facets and Filters

Facets allow users to filter products based on:

  • Size, brand, price, etc.
  • Multi-select support
  • Range sliders
  • Custom labels or pinned values

Optimize Filter Options Based on Products

Boost / Bury

Rule-based logic to promote or demote products in results based on conditions like brand, inventory, margin, etc.
Example: Boost “Nike” products or bury out-of-stock SKUs.

Pinning

Locks a product to a fixed position in the result grid (e.g., always show a certain SKU in position 1).
Ideal for new launches or high-priority items.

Slotting

Assigns specific products to pre-defined slots in the results grid (e.g., slots 1–3 reserved for campaign products).

Filter Pin

Pins products within specific filtered views (e.g., always pin “Red Sneakers” when color filter is red).

Filter Slot

Allows you to assign products to slots only within specific filtered views.

Filter Sort

Customizes the default sort order within a filtered product group (e.g., sort by discount for Sale filters).

Banners

Promotional visuals placed above or within product grids. They can appear:

  • Always (default)
  • Conditionally (e.g., based on query or segment)

Query Rules

Rules triggered by a specific query.
Example: If the query is “diwali,” boost festive items and display a seasonal banner.

Manual Rules

Custom merchandising rules that override dynamic ranking using conditions like:

  • Price
  • Inventory status
  • Location
  • Device

Global Rule

Site-wide merchandising logic that applies regardless of query or page.

Optional Rules

Conditional merchandising setups that activate under specific triggers like time, device type, or user segment.

Landing Pages

Pre-built curated pages for themes or campaigns like “Back to School” or “Winter Sale”.

Merchandising Campaign

Establish Rules, and Experiment With Ideas

A grouped container of merchandising rules including:

  • Boost/bury logic
  • Banners
  • Pins and slots
  • Scheduling
  • Targeted segments

Scheduling

Define start and end dates for campaigns or individual rules.
Example: Schedule Black Friday rules for Nov 25–28.

Preview Mode

Test and preview changes before publishing them live to your shoppers.

Segment-Based Merchandising

Customize merchandising by segment:

  • New vs returning visitors
  • Mobile vs desktop
  • Geography
  • Loyalty tier

Fallback Strategy

Default logic in case a merchandising rule fails or yields zero results.
Fallbacks include: AI ranking, redirect, or curated fallback products.

A/B Testing

Split-test merchandising rules or configurations to compare performance before a full rollout.


Recommendations

Recommendations personalize product suggestions to boost conversions.

Types include:

  • You may also like
  • Frequently bought together
  • Recently viewed
  • Recommended for you

Widgets can be placed on home, product, cart, and checkout pages.


Events

Unbxd tracks shopper behavior to enhance personalization and analytics.

Global Events

Track sitewide behaviors: searches, product clicks, cart adds, and purchases.

Feature-Specific Events

Capture feature-specific actions like:

  • Filter selection
  • Banner clicks
  • Product impressions

Personalization

Search results, filters, and recommendations are tailored to individual users based on:

  • Click behavior
  • Past purchases
  • Browsing history
  • Session context

Each user sees results most relevant to their unique journey.


Analytics and Reporting

Unbxd offers actionable insights across your site experience:

  • Top-performing search terms
  • No-result queries
  • Revenue from recommendations
  • Merchandising rule performance
  • Click-through rates for filters and banners

Product Catalog

The foundation for discovery, merchandising, and filtering.

  • Ingested via CSV, XML, JSON, or PIM systems
  • Requires structured data: name, brand, price, color, etc.
  • Clean, enriched data improves discoverability and experience

Catalog Management

Manage how product data is structured, enriched, and indexed.

Feed Status

Shows the current status of product feed ingestion, errors, and sync logs.

Product Card Mapping

Defines which attributes appear in product tiles on your storefront.

Field Properties

Marks each attribute as searchable, filterable, retrievable, or display-only.

Attribute Enrichment

Uses AI to derive missing attributes from titles or descriptions.

Dimension Mapping

Links size-based queries to matching product dimensions for better precision.


Configure Site

API Key

Authenticates your site's integration with Unbxd’s platform services.

Site Key

Identifies your specific store environment (e.g., development vs production).