Marketing automation
Uses browsing, purchase history and engagement to show each shopper relevant products on your site, at checkout and in email or WhatsApp messages.
Generic 'best sellers' lists ignore what each customer actually wants. Manual curation does not scale across a large catalogue. Shoppers who cannot find relevant products leave.
Where the time goes before automation:
The AI workflow
Personalised Product Recommendations
A visitor browses, searches, adds to cart or buys.
A visitor browses, searches, adds to cart or buys.
Store tracking, analytics
Behaviour and purchase history are added to the customer profile.
CDP, e-commerce platform
A recommendation model selects relevant products, cross-sells and upsells.
Recommendation engine
Recommendations appear on product pages, cart, checkout and in emails or WhatsApp.
Shopify apps, Klaviyo, WhatsApp
Clicks and sales from recommendations are tracked to improve the model.
Analytics
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Explore the AI Marketplace Tools open on marketplace.daidu.ai. Listings are independent products; DAIDU does not guarantee third-party pricing.
Qualitative benefits. We measure the real effect on your process during the first weeks.
Timelines depend on your systems and are confirmed after discovery.
FAQ
Recommendations are most useful with dozens of products or more, but even small stores benefit from simple 'bought together' suggestions.
Yes. Out-of-stock items can be excluded automatically.
Learn to build this
with DAIDU faculty
Design a guest-question assistant and a review-response routine for your property or restaurant.
with DAIDU faculty
Build an order-status support flow and a product-content workflow for your store.
Consultation
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