Pricing

Query Suggestions Preview for better relevance

Tuning your query suggestions shouldn’t feel like shooting in the dark. With Query Suggestions Preview, you can now test and validate suggestions directly in the platform — before they go live. No more guesswork, just best results.

Documentation

We’re introducing Query Suggestions Preview – a new feature designed to give you deeper insight and greater control over how search suggestions are generated and displayed. Now, you can test, evaluate, and refine suggestions in real time, making your AI-powered search more relevant and user-friendly than ever.

What’s new?

Query Suggestions Preview gives you a dedicated space to:

Preview Suggestions Live – Type directly into the search box and watch suggestions appear dynamically, just like an end user would experience them.
View Relevance Scores – See numerical relevance scores (up to 100) for each suggestion to understand why certain terms are prioritized
Identify Suggestion Origins – Instantly know if a suggestion is engine-based, attribute-based, or manually added
Manage with Deny List – Easily remove irrelevant or unwanted suggestions by adding them to a deny list, keeping your search experience clean and intentional.

How it works

Simply enter a query in the Query SuggestionsPreview section within the Synerise platform. As you type, the system displays suggestions in descending order of relevance score. For each suggestion, you’ll be able to:

Review its score to determine ranking strength.
See its type to understand its source.
Add it to the deny list to exclude it from being shown in live search

This gives you the same view your users would see — with the added benefit of behind-the-scenes insights.

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Use Cases

We’ve expanded our use case catalog with new, real-world scenarios! 🚀 Built on insights from our customers and powered by the latest features in our platform, these use cases are designed to help you unlock even more value.

In-app QR Code Scanner

This use case demonstrates how to create an interactive in-app campaign featuring a built-in QR scanner that redirects customers to a personalized landing page with AI-driven recommendations. Using a predefined template, the setup process is quick and does not require building the scanner interface from scratch.

In-app Stories with dynamic resize and brand showcase

In this use case, you’ll build a two-stage in-app campaign for a specific brand. At first, users see a compact banner (“top” bar) with a teaser message such as “Discover Brand X”. After tapping the banner, the in-app message resizes to a full-screen story view, presenting brand details and AI-based recommendations of its bestsellers.

In-app personalized recommendations with dynamic resize

You can display a personalized top (or bottom) bar that appears only for this specific audience. The bar acts as a shortcut to AI-based personalized recommendations from a category that the user viewed before, and allows them to explore those items on a personalized in-app.

In-app Memo Game

In this use case, you’ll create an in-app memo game (3x3 grid) where the tiles feature images of your most viewed products from the last 30 days. This approach blends entertainment with commerce — users play to match pairs while naturally discovering your bestsellers.

Personalized promotion for digital signage

In this use case we are reffering to the Interactive digital signage. This technology relates to a dynamic and engaging communication tool that combines digital displays with interactive technology to deliver information, advertisements, or content to an audience.

Personalized promotion in the mobile app with display time limitation

This use case describes the scenario where AI Engine selects a personalized promotion for each app user. The campaign is based on the following assumptions: the promotion is chosen from the breakfast menu, and it is visible on the app for three hours, and will be available for use for one hour once activated.

Personalized checkout promotions based on category slots in offline stores

The set contains slots of customer-dedicated promotions from specific categories. Promotions will work for 24 hours from the date of assigning and can be printed together with the receipt after the transaction. Personalization of promotions on check out can work for both recognized customers, for example paying with card, or those paying with cash.

Personalized in-app promotions triggered by a store visit

In this use case, personalized promotions are sent directly to a customer’s mobile application when a store visit trigger is detected. Using AI models based on past purchases and visit history, the system selects three tailored promotions for each user, ensuring high relevance and impact. Customers receive these offers immediately upon entering the store, making them timely and actionable.

Similar vs cross-sell recommendations with Variant optimizer

Assign dynamic content with Variant optimizer

Export Customer Profiles with Marketing Consent to Google Cloud Storage

In this use case, we will send a customer database with a marketing communications agreement to Google Cloud Storage.

Transform and import product data to a catalog

In this use case, we will focus on the process of importing and transforming product data from an .XML file using data transformation.

Cleaning and Transforming Data for Optimal Business Performance

This use case describes the process of transformation of a CSV file with electronic card transactions.

Discover more insightful use cases!

Explore how businesses across industries leverage our solutions to drive efficiency, innovation, and growth. Discover real-world examples and see how you can apply these strategies to your own challenges. Check out our full library of use cases here and unlock new possibilities for your organization!

In-app Stories with Personalized Product Recommendations

In this use case, you’ll discover how to create an interactive in-app story promoting a running challenge and a specific brand of running shoes.

Export customer's predicted LTV and loyalty status to Google Cloud Storage

This use case leverages the built-in Google Cloud Storage integration in the Automation module to export lifetime value predictions and customer loyalty status.

Export multiple metrics with dynamic key

This use case demonstrates how to export six metrics - to Amazon S3, enabling streamlined reporting on sales volume and product counts for the previous week.

First-Time Visitor Voucher Campaign Optimization

In this use case, we will describe a voucher campaign targeted at new users who have never made a transaction.

Rotating dynamic content banners with controlled display frequency

In this use case we will describe an example campaign consisting of four dynamic content campaigns that rotate dynamically within an upper-page banner.

Personalized landing page with brand-focused product recommendations

This use case demonstrates how a dynamically personalized product listing can be integrated into a landing page.

Landing page with personalized promotions shared via SMS channel

This use case illustrates how personalized promotional offers can be curated and presented on a landing page that is customized for each user.

Abandoned cart landing page with similar recommendations

This use case demonstrates how to integrate a dynamic product listing into a dedicated landing page and send a mobile communication redirection to it.

Query Suggestions Preview for better relevance

Documentación

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What’s new?

Query Suggestions Preview gives you a dedicated space to:

Preview Suggestions Live – Type directly into the search box and watch suggestions appear dynamically, just like an end user would experience them.
View Relevance Scores – See numerical relevance scores (up to 100) for each suggestion to understand why certain terms are prioritized
Identify Suggestion Origins – Instantly know if a suggestion is engine-based, attribute-based, or manually added
Manage with Deny List – Easily remove irrelevant or unwanted suggestions by adding them to a deny list, keeping your search experience clean and intentional.

How it works

Review its score to determine ranking strength.
See its type to understand its source.
Add it to the deny list to exclude it from being shown in live search

This gives you the same view your users would see — with the added benefit of behind-the-scenes insights.

‍

Boletín sobre productos

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Ventajas principales

Explora las ventajas principales de esta función y descubre el valor que aporta a tu trabajo diario con Synerise.

Visibilidad total en la lógica de sugerencias

Comprende exactamente por qué aparece cada sugerencia y cuán relevante es

Pruebas rápidas y sin código

Obtén una vista previa de las sugerencias al instante, sin necesidad de publicar los cambios en tiempo real

Experiencia de búsqueda más limpia

Elimina en segundos términos de baja calidad o que no encajan con tu marca usando la lista de denegación.

Use Cases

Explore real-life use cases that demonstrate how to apply this feature in practice through inspiring, ready-to-use scenarios that solve real challenges.

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