Conversational selling

Sarah works your storefront like your best floor associate. She greets the right visitor at the right moment, asks what they need, and walks them to the product that fits.

The problem

Most visitors land, browse, and leave without a word. There's no one on the floor to read the moment, ask the clarifying question, or steer a hesitant shopper to the right product. Static pages can't sell the way a good associate does.

How it works

• She greets on intent. Eight signals trigger her, including product dwell, collection bounce, cart stall, scroll depth, exit intent, time on page, return visits, and checkout abandonment.
• She qualifies, then recommends. She asks a clarifying question and pulls only from your real catalog, in-stock items with real prices and real photos, so she never invents a product.
• She handles the back-and-forth. Multi-turn conversation, objection handling, and add-to-cart with variant selection, all in the same thread.
• She knows the context. Cart contents, a 14-day chat history, and the visitor's segment shape what she says next.
• She hands off cleanly. When a shopper needs a person, she passes the conversation to your team with the full context attached.

What makes it real

Every recommendation is grounded in your live catalog, so she never surfaces a SKU you don't sell or a price that isn't current. She is identified as AI in the widget, and her answers typically arrive in two to eight seconds. There are no canned objection scripts behind her: how well she sells depends on the coaching and training you give her.

Pairs with Training and coaching, In-chat comparisons, and Handoff and languages.