Smart Recommendations
Drive higher conversion and order value by suggesting products tailored to each shopper’s behavior and preferences.
What is Smart Recommendations?
Smart Recommendations is bKlug’s intelligent upselling and cross-selling engine. It dynamically suggests products based on what the shopper is browsing, purchasing patterns, cart contents, and contextual cues.
How it Works
- bKlug tracks user behavior during the conversation—products viewed, added to cart, and preferences stated.
- It leverages AI models to surface personalized suggestions at relevant moments.
- These are displayed as tappable cards or carousels within the chat.
Supports:
- Complementary product recommendations (e.g. “complete the look”)
- Similar item suggestions based on style, price, or category
- Behavior-based ranking (past sessions, cart content)
Key Benefits
- Increases average order value
- Reduces decision fatigue with curated choices
- Makes shopping feel personal and thoughtful
Best Practices
- Trigger suggestions after add-to-cart or cart summary
- Use contextual phrasing like “Others also bought…”
- Refresh recommendation models based on seasonality or trends
Example Use Case
A shopper adds a dress to their cart. bKlug replies: “Want to complete the look? Here are some shoes and accessories that pair well with it.” The shopper adds heels and a bag before checkout.
Smart Recommendations make every customer feel seen—and upsell without being pushy.