Interactive Product Advisor
Your AI product advisor guides visitors through your catalog like an experienced salesperson, toward the perfect product and a higher cart value.
Why visitors leave your shop without buying
Online shops share a fundamental problem: too much choice. In brick-and-mortar retail a salesperson is on hand to ask questions, advise and recommend the right product. Online, customers face hundreds of options, filters and categories on their own.
The result: 70 to 80% bounce rate on category pages. Customers scroll, compare, feel overwhelmed and leave. Or they buy the wrong thing and return it. Both cost you revenue.
An AI product advisor steps into the role of the experienced salesperson. It asks about needs, preferences, budget and use case, then recommends the perfect product. With cross-sell and upsell suggestions that actually fit. Like in a store, only better, because it knows your entire catalog.
How to build your AI product advisor
Product catalog as knowledge base
Upload your product catalog: all products with attributes, prices, reviews and availability. The agent knows every detail.
Advisory logic by preference
Define consulting paths: which questions lead to which products? How do you weight budget vs. quality vs. features?
Cross-sell and upsell rules
Configure smart add-on recommendations: which accessories fit? When does the next model up pay off? Which bundles make sense?
Shop integration
Integrate the agent into your online shop. It can link to products directly, trigger cart actions and forward users to product pages.
A/B test different flows
Test different consulting approaches: direct recommendation vs. in-depth advice. Which style works best for your audience?
Real-world example: an online shop for sports gear
An online shop for sports gear with 2,000 products. Visitors land on category pages, feel overwhelmed by the choice and leave without buying.
73% bounce rate on category pages. Average cart value around 89 euros. Conversion rate at 1.8%. High return rate due to wrong product choices.
The AI product advisor cuts bounce rate to 41%. Conversion rate rises 28% to 2.3%. Cart value grows 35% to 120 euros thanks to smart cross-sell suggestions. Return rate down 18%.
What you get
Personalized product recommendations
The agent recommends based on individual preferences, budget and needs, not generic "bestseller" lists.
Guided shopping experience
Guided advice from the first click to the purchase decision. The agent walks visitors step by step to the perfect product.
Cross-sell suggestions
Smart add-on recommendations that truly match the main product, no annoying random suggestions.
Cart integration
The agent can add products to the cart directly and link to product pages, seamlessly integrated into the buying flow.
Consulting analytics
Detailed insights: which questions are asked, which products recommended, where visitors drop off, which recommendations convert.
More use cases
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AI fitness advisor: training plan recommendations, nutrition tips, class bookings.
Learn moreEvent & Trade Show Lead Capture
QR code at the booth, chat starts, AI qualifies the lead, CRM entry created.
Learn moreTurn visitors into buyers
Give every shop visitor a personal advisor and lift your conversion noticeably.
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