Unbxd Knowledge Base
  • Documentation

›Product Overview

Chapter 1

    Product Overview

    • Unbxd Product Overview
    • Unbxd Technical Product Overview
    • Unbxd Integration Overview

Chapter 2

    Feed Review

    • Feed Review Stages
    • Feed Compatibility Review
    • Feed Product Review
    • Feed Data Integrity Review
    • Feed Logic Review

    Feed & Schema Processing

    • Process Feed
    • Process Schema

    Feed Indexing

    • Feed & Schema Indexing

    Search & Browse API

    • Search & Browse API

Chapter 3

    Analytics

    • Types of analytics integration
    • API based integration
    • JS based integration
    • HTML based integration
    • GTM based integration

Chapter 4

    Recommendation Widgets

    • Recommendation

Chapter 5

    AutoSuggest

    • Types of Autosuggest

Chapter 6

    First Integration

    • Integration Prerequisite
    • Scope of integration
    • Meet Your Customers

Chapter 7

    Inter Team Cordination

    • Inter Team Co-ordination
    • Work with Engineering Team
    • Work with Relevancy Team
    • Work with Quality Assurance Team

Chapter 8

    Take Customer Live

    • Before Go Live
    • Go Live Day
    • Post Go Live

Chapter 9

    Account Handover

    • Account Conversion Numbers
    • Account Handover

Top 100 Issues

  • Top 100 Integration Questions

Unbxd Product Overview

This document is in Beta stage and we have try to cover all topics in right hierarchy yet indepth. To make this document better, we need your help. Please give your feedback by rating the stars at the end of each topic. For more updates join slack channel #unbxd-knowledgebase

Use this document for internal purpose only. It is not suppose to be shared with customers


When it comes to eCommerce, searching for products should be user-friendly, fast, and efficient. As more retailers move from brick and mortar outlets to the Web, there is a need for an intuitive search engine that provides relevant results while also enhancing your site's user experience.

This is where Unbxd Site Search can help you.

As a part of a platform-agnostic eCommerce suite of products, Unbxd Site Search enhances the on-site search to deliver fast, relevant and tailored search results to visitors on your eCommerce website.

Product Image

Components of Unbxd Product

Unbxd Search

Higher conversations through machine learning site search that are highly relevant and personalized

Site search contributes to 20-40% of e-commerce revenue. Are you leaving money on the table?

Search Image

Contextual Relevancy

Contextual relevancy refers to understanding the shopper's intent through contextually relevant Site Search. Unbxd Site Search goes beyond simple text-pattern matching techniques, and is ‘e-Commerce context-aware’. It tokenizes each search query to map it to the most relevant products and desired attributes to showcase relevant results that understand your shopper's intent; even when they use natural language or long tail queries like brown leather jacket for halloween party.

Self Learning

Site Search that is self learning and constantly evolving. Leveraging machine learning algorithms that monitor shopper behavior, Unbxd’s Search constantly self-optimizes. Thus, connecting your shoppers to the products they are actually looking for.

Auto Correct

Automatically correct typographical errors. Unbxd eliminates the need for merchandisers to manually tune the Site Search for error correction – through constant learning, and optimizing in real-time to understand the typographical errors your shoppers make.


Did you find it useful? Rate it

Unbxd Browse

Static is boring

Combine AI-driven automation with merchandiser insight to gift each of your customer a personalized browsing experience that reflects who they are.

Generic vs Unbxd Category Page

Generic category pages are static for every shopper visting a category page. On the other hand, Unbxd category pages are highly personalized category pages based on more than 50 visitors signals.

Autosuggest

Shorten the path to purchase with Visual Guided Autosuggest.

Unbxd’s predictive Visual Guided Autosuggest shortens the path to purchase, right from the search box. It delivers suggestions that have the highest likelihood of conversion through predictive analytics, and machine learning algorithms.


Did you find it useful? Rate it

Unbxd Analytics

Powering Personalization

Provide a tailored search experience for each shopper.

Unbxd profiles each shopper in real-time, and doesn’t just depend on historical log data. Personalization not only improves conversion rates, but also customer loyalty and lifetime value.


Did you find it useful? Rate it

Unbxd Recommendation

Delivering relevant recommendations across the shopper’s journey

Recommendation for storefronts

Recommend products for both first time and repeat shoppers at your storefront. Home page recommendations leverage “wisdom of the crowd” to showcase popular products to first time shoppers, or monitor the shopper’s behavior to provide 1:1 personalized recommendations. So your shoppers discover more, click more, and convert more.

Recommendation with shopper intent

Ensure products with a higher likelihood of conversion are given priority on your category and search results pages – by showcasing category bestsellers and recommendations tailored to each shopper.

Recommendation before user leaves

For “No Results” and “Out of stock” pages, make sure your shoppers don’t leave empty handed. Use this as a merchandising opportunity, making recommendations based on related products or a shopper’s viewing and order history.


Did you find it useful? Rate it

Unbxd Technical Product Overview →
  • Components of Unbxd Product
    • Unbxd Search
    • Unbxd Browse
    • Autosuggest
    • Unbxd Analytics
    • Unbxd Recommendation
Unbxd Knowledge Base
Knowledge Base
Getting Started (or other categories)Guides (or other categories)API Reference (or other categories)
Contributors
Amit Aggarwal
Version
0.1 ( change log )0.5 ( change log )0.8 ( change log )
Unbxd Knowledge Base
Copyright © 2019 Unbxd Software Limited