Artificial Intelligence (AI) is revolutionizing the way businesses engage with customers. At trbo, AI is central to providing personalized, data-driven, and optimized shopping experiences that improve conversions and customer satisfaction.
From intelligent product recommendations to self-learning chatbots and real-time A/B testing, our AI-powered solutions help online retailers maximize engagement, boost conversions, and seamlessly automate complex processes.
But how does this work in practice? Let’s dive into trbo’s AI-powered solutions, how they function, and how they can transform your personalization strategy.
Why AI is a Game-Changer in Personalization
Personalization is not new, but manual efforts can’t keep up with the increasing complexity of today’s user journeys. Traditional segmentation, static content, and standard A/B testing are time-consuming and often fail to yield optimal results.
That’s where trbo AI comes in:
- Automating decisions based on real-time data
- Eliminating manual efforts in segmentation, testing, and optimization
- Dynamically adapting content based on user behavior
- Elevating omnichannel strategies for web, email, and mobile
With AI-driven personalization, businesses can deliver the right message to the right customer at the right time, maximizing engagement and revenue.
How trbo AI Works: Features & Best Practices
AI at trbo isn’t just about automation – it’s about making smart decisions that drive real business value. Here are some of the key AI-driven features that make personalization more impactful:
1. Onsite Recommendations: Real-Time Product Suggestions
Today’s customers expect a shopping experience tailored to their interests. trbo’s Onsite Recommendation engine uses real-time data and purchase history to offer highly relevant product suggestions at every stage of the customer journey.
AI-driven recommendations enable online shops to display the most relevant products based on browsing behavior (e.g., previously viewed items), purchase history (e.g., complementary products), and real-time actions (e.g., items added to the cart).
Best Practices with trbo:
- Display “Customers also bought” or “Similar products” sections to increase cross-sells
- Recommend frequently purchased items to encourage repeat buys
- Use real-time behavioral data to suggest relevant alternatives when a product is out of stock
Example:
A customer browsing a fashion store looks at running shoes. Instead of generic recommendations, trbo AI dynamically suggests matching items such as running socks, moisture-wicking apparel, or fitness-tracking smartwatches. These AI-driven suggestions enhance the user experience, increase average order value (AOV), and boost conversions.
2. AI-Powered Newsletter Recommendations
Email marketing remains one of the most effective sales channels, but generic newsletters often get lost in inbox clutter. AI optimizes email content by ensuring that each recipient receives the most relevant product suggestions, leading to higher open and click-through rates.
Best Practices with trbo:
- Personalize newsletters with top product recommendations based on browsing and purchase history
- Implement automated product updates, so emails always feature in-stock, relevant items
- Use dynamic pricing updates to highlight personalized discounts
Example:
A customer who recently purchased a coffee machine receives a personalized email featuring compatible accessories, such as coffee beans, milk frothers, or cleaning solutions, rather than generic offers. This AI-powered approach enhances email engagement and encourages repeat purchases.
3. Smarter Customer Interactions with trbo Chat
Conversational commerce is on the rise, and trbo’s AI chat ensures that brands can offer real-time, intelligent, and personalized chat experiences. Unlike static chatbots, our AI-powered chatbot continuously learns from user interactions to provide relevant answers and product recommendations.
Best Practices with trbo:
- Use the chatbot to guide users through product discovery based on their preferences
- Automate responses to frequently asked questions, freeing up human support teams
- Improve customer engagement by offering real-time discounts or upsell opportunities
Example:
A customer on an electronics website is searching for a new smartphone but isn’t sure which model to choose. Instead of manually browsing through dozens of pages, the trbo AI chatbot asks a few simple questions (e.g., preferred camera quality, storage needs, price range) and instantly recommends the best-fit products – helping customers make confident buying decisions while reducing drop-off rates.
4. Dynamic Segments
Traditional segmentation requires constant manual adjustments. trbo dynamically clusters website visitors based on real-time interactions, browsing behavior, purchase history, demographic information, and more – eliminating the need for manual segmentation.
Best Practices with trbo:
- Target high-value customers with exclusive deals
- Create behavior-based promotions (e.g., special offers for cart abandoners)
- Automate content adjustments based on real-time user behavior
Example:
A sports retailer wants to target users interested in winter sports. Instead of manually defining this audience, trbo AI automatically segments users based on browsing behavior (e.g., viewing ski jackets, snowboard gear). These users then receive customized offers and tailored banners, increasing relevance and conversions.
5. Multi-Armed Bandit Testing
Traditional A/B testing relies on static comparisons, often leading to missed opportunities before the best variation is identified. Multi-Armed Bandit (MAB) testing changes the game by automatically shifting traffic to the best-performing variant in real time.
Best Practices with trbo:
- Simultaneously test multiple variations of CTAs, banners, and landing pages
- Reduce the time spent on manual A/B testing
- Allow AI to autonomously direct traffic to the best-performing content
Example:
An online bookstore wants to test two versions of its homepage. Version A highlights “new releases,” while version B showcases “bestsellers.” Instead of waiting weeks to analyze the data, trbo AI continuously monitors user engagement. If version B performs better, the AI automatically allocates more traffic to the winning variation, instantly optimizing results and maximizing revenue.
The Future of Personalization: Powered by AI
AI is no longer just a nice-to-have – it’s becoming essential for businesses that want to stay ahead of the competition. With trbo AI, companies can reduce manual effort, increase efficiency, and unlock smarter, data-driven personalization strategies.
With AI, personalization becomes smarter, faster, and more efficient, ensuring that businesses maximize conversions while minimizing operational effort.