AI Hub
The AI Hub is your go-to place for using Synerise’s smart AI tools to improve customer experience and grow your business. In this section, you’ll find instructions for five key features: AI Recommendations, AI Search, AI Prediction, Promotions, and Personalized Promotions.
With AI Search, customers find what they want faster through smart, real-time search suggestions and personalized results. AI Prediction helps you understand customer behavior without any coding, so you can predict actions like buying, leaving, or engaging.
AI Recommendations show customers relevant product suggestions on your site, emails, and apps. Promotions let you create loyalty programs and reward your customers. Personalized Promotions use AI to offer special deals made just for each customer.
Use this AI Hub to learn how to set up and get the most out of these powerful features with ease.
User permissions required to use this module
See:
- AI Search permissions
- Predictions permissions
- Recommendation permissions
- Promotion permissions
- Personalized promotion permissions
Contents
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AI Predictions
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Introduction
Getting started with predictions
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Predictions glossary
Get to know major concepts in Predictions
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Enabling predictions
Learn how to enable the Prediction module for your workspace
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Creating best fit predictions
Best fit predictions lets you find the best matching item for each customer
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Creating classification and regression predictions
Set up a custom regression or classification
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Creating lookalikes predictions
Lookalikes let you find customers who are expected to behave similarly to other customers
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Creating propensity predictions
Calculate the probability of customers buying items with particular characteristics
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Managing predictions
Manage existing predictions and check your usage limits
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Performance measurement
How to measure performance of Predictions
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Examples
Out of the box examples of successful implementaion of Predicitions models
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AI Recommendations
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Introduction and requirements
Learn how your business can benefit from recommendations
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Item feed requirements
Learn the requirements of the item catalogs
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Configuring item feed for recommendations
Learn how to configure AI engine for the use of recommendations
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Recommendation types
Learn about the available types of the recommendations
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Creating recommendations
After a successful training of the models, you can create a recommendation
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Creating section page recommendations
Learn how to enrich a page with sections that include recommended items
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Creating attribute recommendations
Learn how to create recommendations that show an item's attribute instead of the item
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A/B/X testing
Learn how you can optimize your recommendations by A/B/X testing and identify top performers
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A/B/X testing with external models
You can include recommendations from an external model with A/B/X tests
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Recommendation filters
While creating a recommendation, use filtering to influence the results
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Recommendation filters - examples of use
Check the exemplary usages and business applications of filters
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Previewing recommendations
You can see the preview of items shown in the recommendations
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Recommendation statistics
To monitor the performance of the recommendation, you can use the extensive statistic panel for recommendation
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Distributing recommendations
Learn how you can use recommendation in various channels
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AI Search
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Introduction to AI Search
Enhance the results of the search engine on your website with tailored product recommendations
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Create an index
Create an index based on your item feed
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Create rules
Manage the behavior of the search engine by telling it to promote specific items
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Add synonyms
Determine the substitutes for words and phrases
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Define attributes
Select the features of items which are returned in the search results, the attributes which let customers filter out the results, and so on
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Define item ranking
Define the order of presenting results in the search engine
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Edit search method, searchable attributes, and define search relevance
You can change the search method and the order of displaying search results
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Define typos and missing words management
Define rules for handling missing words and typos
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Configuring A/B tests
Learn how to launch an A/B test in AI Search Engine
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A/B test statistics
Learn how to read the statistics for an A/B test
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Query suggestions
Give your customers hints while they are typing a word in a search box
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Query suggestion statistics
Take a detailed look at how your suggestions perform
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Previewing AI Search results
You can check the results of the search engine for your customers
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AI Search Engine statistics
Take a detailed look at what your customers search for and how it affects your business
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Define language and separators
Select the language of your search engine and word separator in searchable attributes
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Dynamic re-ranker
Enable automatic adjustment of search results based on popularity
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Predictive filtering
Limit search results to the most relevant categories
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Visual search
Let your customers use an image to show that they're searching for
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Personalized promotions
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Promotions
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Implementing promotions
Instructions to integrate the promotion feature into your business operations
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Creating promotions for entire basket
Prepare promotions for entire shopping cart
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Creating promotions for selected products
Prepare a promotion for your customers
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Managing promotions
Edit, filter, enable, disable, or delete existing promotions
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Importing promotions
Learn how to import promotions
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Promotion tags
Promotion tags must be stored in a special type of tag folders
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