Recommends complementary or upgraded products in chat, based on what a customer bought or is viewing. Built for consumer electronics & gadget retailers.
Electronics retailers use WhatsApp to confirm high-value orders, answer spec questions, and keep buyers updated on stock, delivery, and warranty.
Recommends complementary or upgraded products in chat, based on what a customer bought or is viewing. Lifts average order value by recommending the right extras at the moment of interest.
After a purchase or during a chat, Defuser identifies relevant add-ons or upgrades.
Talksy suggests matching products with images and a reason they pair well.
The customer adds the item to their order or checks out directly from the chat.
You configure pairing rules and product relationships, and Talksy suggests relevant add-ons based on the order or the conversation context.
Right after a purchase or while the customer is actively browsing in chat. The flow can trigger recommendations at the moment intent is highest.
Talksy answers from the product information and flows you give it, and it hands the conversation to a human agent the moment a query is too complex. You control what it can and can't answer, so customers get fast replies on common questions and expert help on the rest.
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