Product Recommendations

Relevance Beats Popularity

Your best-seller is the right recommendation for almost nobody in particular.

Personal to the customer, not to the average

Every recommendation is generated from that individual's own buying history. Two customers who bought the same item can and should see different suggestions.

Their behaviour tells you what they won't

Shoppers rarely announce what they're after next. Customers with similar patterns reveal it on their behalf, surfacing products this person would plausibly want but hasn't discovered.

Cross-sell that isn't a guess

Knowing which products people genuinely buy together turns the complementary suggestion from a merchandising hunch into something grounded in actual baskets.

Three signals, one answer

Individual history, similar-shopper behaviour and product pairing working together is what separates a real recommendation from "customers also bought."

The receipt becomes a storefront

The one message nearly every customer opens currently ends the transaction. Product Recommendations gives it something to do; discovery, cross-sell, another visit with no extra send and no attention to win.

Timing you can't buy anywhere else

Minutes after purchase, your brand has more of a customer's attention than any campaign will earn that month. That's precisely when the suggestion lands.

Built on the customer you already understand

Recommendations draw on the same customer picture behind Customer 360, so what you suggest reflects the whole relationship rather than one transaction in isolation.

Every sale makes the next one smarter

Each purchase adds to what you know about that shopper. The recommendations improve because the customer keeps telling you more.

Your customers have already told you what they like. The only question is whether you use it before they close the tab.

Start With What They've Bought

Their own purchase history and category preferences come first. The recommendation is anchored to this person, not to whatever your catalogue needs to move.

Learn From Shoppers Like Them

Customers with comparable buying patterns reveal what tends to come next. It surfaces products this customer would want but hasn't found yet.

Understand What Belongs Together

Products commonly bought alongside each other create the natural cross-sell — the care kit with the shoes, the pieces that complete the outfit.

Resolve It Into One Suggestion

The three signals meet and produce something none of them would have found alone: a product that makes sense for this customer, at this moment.

Put It Where They're Already Looking

The recommendation appears in the e-receipt; the message almost every customer opens, arriving right after the purchase that shaped it.

Trusted by 250+

Retail, D2C & Restaurant Brands Worldwide

See What Comes Next

Their own history, shoppers with similar habits and what people buy together, resolving into one product worth suggesting. Watch it land on a receipt minutes after the purchase that shaped it.

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Show Them What They Actually Want Next

Send us a receipt as it looks today. We'll show you what belongs beside that purchase and why that specific customer would care.

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Product Recommendations