Use Case
Craft Personalized Experiences with AI Item Recommendations
Why Use AI-Powered Personalization in Your Messaging?
To ensure your brand's success, you must adopt highly targeted and personalized customer experiences. Balancing personalization and business efficiency can be challenging. However, integrating AI into your engagement strategy serves as a competitive differentiator and helps your brand overcome those obstacles.
According to the 2024 Braze Customer Engagement Review, 99% of respondents say their organization already uses AI. This is no surprise, as brands that implement AI as a trusted advisor are able to effectively bridge creativity with strategy and increase their return on investment.
BrazeAI™ helps you craft, scale, and adapt experiences to build stronger customer relationships. Specifically, you can leverage the AI Item Recommendations feature to recommend more personalized items to each customer using machine learning.
Industry Examples
AI Item Recommendations are flexible and you can use them to create meaningful conversations for many different industries, including:
- Retail: Recommend products that align with a customer’s style preferences and purchase history.
- Fitness: Recommend tailored fitness programs crafted for each customer based on their workout preferences.
- Gaming: Recommend new challenges and rewards based on a user’s gameplay.
- Travel: Recommend new travel destinations based on a user’s previous trips.
Additionally, you can enhance the power of AI Item Recommendations by combining it with other BrazeAI™ capabilities, such as the AI copywriting assistant, tone control, or Personalized Paths.
Use Case: Incorporate AI Item Recommendations into an In-App Message
In the following use case, learn how you can use AI Item Recommendations and the AI copywriting assistant to send your customers tailored recommendations while they are using your app.
How It’s Done
In the following video, learn how to use BrazeAI™ features to recommend items and get creative copywriting assistance, using example data from a travel brand.
Step-by-Step Instructions
To successfully execute this use case, you will need the following:
Data Requirements
AI Personalized recommendations work best with hundreds or thousands of items and typically at least 30,000 users with purchase or interaction data.
Necessary Integrations
Learn more about the features from this use case in Braze documentation:
- In-App Messages
- AI Copywriting Assistant
- AI Item Recommendation