E-Commerce
Recommends complementary or upgraded products in chat, based on what a customer bought or is viewing. Built for online stores & D2C brands.
Online stores use WhatsApp to recover abandoned carts, confirm orders, and answer product questions on the channel customers already check daily.
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.
Email open rates keep falling and many reminders never get seen. WhatsApp messages are opened far more reliably and let the customer reply or pay with one tap, so the same abandoned cart gets a second, higher-visibility chance to convert.
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