For You Conversations: Personalized recommendations that drive sales

For You Conversations (FYC) is how Delight's revenue AI agent personalizes each conversation. It draws on what Agent Memory Platform (AMP) knows about the customer to open with what's relevant, recommend what fits, and help the customer buy, book, or upgrade.

Your agent suggests products that match each customer's past purchases, preferences, and budget, answers the questions that hold up a purchase, and can add items to the cart. You choose the goal, such as cross-sell or larger orders, and your agent works toward it in each conversation.

Basic personalization fills in a name or shows one offer to a whole segment. For You Conversations adapts each recommendation and reply to one customer's history, preferences, and current intent, and keeps that context when the customer switches channels.

Yes. With Nudge Message, your agent can start the conversation when a shopper stalls on a page or leaves a form unfinished. With Omnipresence, it can follow up on the channel each customer prefers when something relevant happens, such as a restock or an expiring offer.

Your team sets goals and rules in plain language, such as which products to feature or when to focus on support. With Trust OS, you can test changes before rollout, review conversations, and flag topics such as discount requests for review.

Chat, SMS, WhatsApp, email, and voice. The same customer memory carries across each channel, so a conversation that starts in chat can continue by email or phone without the customer repeating themselves.

Yes. Each conversation adds to what your agent remembers, so the next recommendation starts with more context. Your team can trace each memory to its source and correct or delete it.

Export conversation-level data with the Data Export API and join it to your order or booking data in your BI tool. You can then report conversion and order value for the conversations your agent handled, using the definitions your team already works with. Learn more about Analytics.