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

  1. bKlug tracks user behavior during the conversation—products viewed, added to cart, and preferences stated.
  2. It leverages AI models to surface personalized suggestions at relevant moments.
  3. 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.