Send one product or a short list from your catalog and get suggestions for complementary items, with the reason behind each combination and ready-to-use WhatsApp messages.
When a customer picks a product, other items in your catalog might make sense in the same purchase. The problem is remembering those combinations while you're replying on WhatsApp, especially with several conversations going at once.
This skill takes one product or a short list from your catalog and suggests different items that complement the purchase. For a single product, it gives three to five options. For a list, it lines up the clearest pair for each item.
Each suggestion says how the products relate, explains why it's worth offering them together, and includes a short message to send on WhatsApp. When the option is just a pricier version of the same product, the answer marks it as upsell, not cross-sell.
In the end, you have recommendations ready to use and tweak.
You start by entering the product the customer bought or is thinking about buying. If you want to prepare several combinations at once, just paste a list of products from your store.
The Kyte AI assistant looks at how the items can relate: used together, continuity, restock, gift, protection, or occasion. For a coffee maker, for example, it might suggest filters, a bag of coffee, or a thermal mug, instead of pointing to another, pricier coffee maker.
The answer brings a handful of options, with the reason behind each combination and a message you can send during the sale or right after the order. The wording sounds like a salesperson's recommendation and avoids generic promo lines or pressure to buy.
If you also enter prices, margins, or products you want to prioritize, the combinations can be adjusted based on those criteria. Without that data, the suggestions only consider the relationship between products, without making up values or deal terms.
Real examples of how this skill fits into a store’s routine to speed up decision-making and sales.
When a customer has already picked a product on WhatsApp, you need to decide on the spot whether something is worth offering alongside it. You send the item's name and get a handful of suggestions, each with an explanation and a ready message. That way, you keep the conversation going with a relevant recommendation, instead of dumping a product list into the chat.
In clothing, beauty, electronics, stationery, or pet stores, some products show up in orders every week. You send those items and get two or three complements for each, prioritizing the most obvious relationships. That way, combinations are ready for the conversations that repeat most on WhatsApp.
Some products tend to be used together, like shampoo and conditioner, pet food and treats, or a notebook and a pen set. You enter the main item and the assistant identifies what could go with that purchase. The message explains how the products relate, so the suggestion reads as useful, not as a random offer.
When a customer is looking for a gift, it can be hard to know what to add to the product they picked. You send the main item and get suggestions like packaging, a card, or another product tied to the occasion. That way, you can offer a ready option without making the customer hunt for each piece separately.
When new products come in, you need to figure out which catalog items can be shown alongside them. You send the list of new arrivals and available products to get the most sensible pairs back. These combinations can be used in conversations, in catalog photos, and in the store's posts.
During a sale, it's easy to blur a complementary product with a higher-end version of the item the customer picked. The skill flags when a suggestion adds a different product to the order and when it just swaps the original for a pricier option. You can pick the right approach without calling a product swap a cross-sell.
Without combinations ready, you end up offering only the products you happen to remember mid-conversation. With the main pairs already defined, other catalog items make it into orders where they actually fit. That adds more chances to sell more than one product per purchase.
When you come up with a complement during each conversation, you end up checking the catalog and comparing several options. With suggestions already organized, you find a fitting combination and adjust the message for the customer. The conversation keeps moving without a fresh analysis for every order.
Without a clear tie to the purchase, you can sound like you're just trying to inflate the order. These suggestions start from a concrete reason, like joint use, restocking, or protection. You can explain why the complement might help and let the customer decide without pressure.
When every recommendation depends only on memory, you give customers with similar purchases very different suggestions. A map of combinations creates a shared reference for you and anyone else answering the store's WhatsApp. The main products end up with set complements and talking points.
You can offer a pricier version of the same product, but it serves a different purpose. By keeping that approach separate from complementary items, you avoid building pairs that just replace the chosen product. The map stays focused on adding something useful to the order.
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