Create Search Rules to Filter Products Based on Price Keywords

Create a Search rule to return only items below a certain price when the query contains the word "cheap".

Difficulty: Medium · Modules: AI Hub

Channels

website

Industries

Books
Cosmetics
Electronics
Fashion & Apparel
FMCG
Home & Furniture
Jewelry
Retail
Multi
Travel

Challenges addressed

Increase the revenue

Summary

This use case focuses on implementing a targeted marketing solution that leverages real-time customer data and behavioral signals to drive measurable business outcomes. Specifically, "Create Search Rules to Filter Products Based on Price Keywords" enables your team to create a search rule to return only items below a certain price when the query contains the word "cheap". This implementation balances ease of setup with meaningful business impact.

Example Scenario

Imagine your organization is facing the challenge of increase the revenue. Your team needs to create a search rule to return only items below a certain price when the query contains the word "cheap". Without the right tools, this would require extensive manual effort, data silos would prevent a unified view of the customer, and the campaign would launch weeks late with generic messaging. With Synerise, the entire workflow is automated, data flows seamlessly between systems, and personalized experiences are delivered in real time.

Business Challenge

Increase the revenue

Solution

Synerise solves this through an integrated approach that combines real-time data processing, AI-driven decisioning, and automated execution across all customer touchpoints.

This implementation leverages Synerise's AI Hub for training, deploying, and managing machine learning models, predictions, and AI-powered recommendations. The solution delivers results through website interactions including browsing behavior, on-site engagement, and web-based content delivery.

Expected Impact

Implementing this use case delivers measurable improvements across multiple business dimensions. Organizations typically see results within the first 2-4 weeks of deployment, with compound gains as the system learns from additional data. The medium-level implementation complexity means a balanced investment of time and effort yields strong returns.

Key KPIs

Conversion rate improvement
Customer engagement increase
Campaign ROI improvement
Customer lifetime value growth
Operational efficiency gains

Data Inputs

website — website interactions including browsing behavior, on-site engagement, and web-based content delivery
AI Hub — AI Hub for training, deploying, and managing machine learning models, predictions, and AI-powered recommendations

Implementation Steps

1. Audit existing data sources and ensure customer behavioral events are being captured in Synerise BaseModel
2. Configure AI models in the AI Hub and define training parameters based on your business objectives
3. Define customer segments and business rules using Expressions and the Segmentation Engine
4. Implement on-site tracking and configure Dynamic Content widgets for real-time personalization
5. Run A/B tests with a small audience segment to validate performance before full-scale deployment
6. Launch to production, monitor key performance metrics in real time, and iterate based on results

Technology Explanation

Synerise AI Hub provides a managed machine learning infrastructure with automated feature engineering, model training, and production deployment. Models are served through low-latency APIs optimized for real-time decisioning.

Platform Components

AI Hub — AI Hub for training, deploying, and managing machine learning models, predictions, and AI-powered recommendations

Channels

website — website interactions including browsing behavior, on-site engagement, and web-based content delivery

Target Industries

Books
Cosmetics
Electronics
Fashion & Apparel
FMCG
Home & Furniture
Jewelry
Retail
Multi
Travel

Functionality Used

AI search

Implementation Complexity

Medium — This use case requires moderate technical knowledge and some configuration effort.

Time to Value

2-4 weeks

Documentation

https://help.synerise.com/docs/use-cases/handling-indirect-price-filter-in-query-with-rules/

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