Introducing Effortless Product Discovery with Conversational Recommendations

Recommendations

When it comes to online shopping, nothing beats the feeling of finding exactly what you had in mind. But let’s admit it, the old school way of discovering products isn’t very exciting. Scrolling through endless pages? Hunting for what “might” be relevant? Not anymore! With alby Recommendations, product discovery becomes a natural part of the conversation. 

What are Conversational Recommendations?

Traditional recommendations widgets and static carousels have tried their best, but they can’t keep up with the way modern shoppers move through a site. Today’s shoppers expect moments of discovery to happen right where they are: in the flow of their natural conversation with your brand. 

That’s where alby Recommendations come in. Imagine your best store associate not only listening to your shoppers’ questions and wishes but also noticing what they’ve explored, browsed or added to their cart. They never miss an opportunity to offer a helpful suggestion, and they always know the right moment to recommend something new. 

How Does It Work? 

alby Recommendations do more than just offer a list of popular products. They look at the context of every comment: 

  • Are you viewing a product detail page? You might see popular pairings and items that compliment what you are viewing. 
  • On a category page? Discover best sellers, trending items or personalized picks based on your recent browning in that category.
  • Exploring the site? alby serves up relevant suggestions driven by what you’ve searched for and what’s caught your interest in this session. 

Everything happens inside the conversation. There’s no need to jump between static widgets and the chat window. alby brings suggestions directly into the flow, so discovery feels natural, helpful and uniquely yours. 

Seeing alby in Action: Best Sellers and Personalized Picks 

Want to see what this looks like in practice? Here are two real shopping scenarios: 

Best Sellers 

You’re shopping for sunscreen for an upcoming holiday. alby notices the flow of your session and right when you need help finding the right sunscreen for you, it responds: 

These aren’t random picks, they’re thoughtfully selected based on your current context, helping you find the best selling sunscreen for you. 

personalized picks
Personalized Picks Just for You

You’ve been browsing summer dresses searching for the right look for an upcoming event. When you land on the homepage and type “Help me find the right outfit for this event,” alby responds: 

Instead of generic style suggestions, alby’s recommendations reflect your recent searches and browsing, bringing together what you need to create the perfect outfit for your event. Each pick is tuned to your preferences and occasion, making shopping for a dress feel easy and personal. 

Why Bring Recommendations Into the Conversation? 

Sure, recommendation engines aren’t new. But most feel disconnected, they don’t account for what’s happening in real-time, nor do they adapt to the natural rhythm of a conversation. alby changes that. By understanding both the product content and the live conversation, alby makes the shopping conversation feel more dynamic, relevant and most of all personal. 

When recommendations appear right when they’re needed, shoppers feel understood and supported. They’re more likely to find what they’re looking for (and discover some new things too), leading to a better experience for them and better results for your brand. 

Are You Ready to Make Every Conversation Count? 

With alby Recommendations your AI agent does more than answer questions, it guides, inspires and opens new doors for your shoppers. Every conversation becomes a change to help, suggest and delight. 

Emma Martin
Emma Martin is the Senior Director of Product Marketing at Bluecore and Alby. Since 2017, she has worked at the forefront of AI and personalization, helping bring category-defining technologies to market. Her focus is on helping brands deliver the future of agent-assisted shopping, driving more sales while radically improving the customer experience.