“AI in ecommerce” has quietly become a checkbox: a chatbot in the corner, a “recommended for you” row, a banner that says powered by AI. Useful, sometimes. Transformative, rarely. The real difference shows up in where the AI lives — on top of your store, or inside it.
MagicFront is built the second way. You don’t bolt AI onto your store; you build and run the store by talking to it. That one decision changes what’s possible across pricing, search, personalization, operations, and the day-to-day work of running a catalog. Here’s the map.
What “AI-native” ecommerce means
Most platforms expose AI as a handful of features you switch on. MagicFront treats conversation as the interface. You describe what you want — “add a price column to the spring catalogue,” “show wholesale customers their net prices,” “run a 3-for-2 on this category in France only” — and the platform makes the change.
The thing that keeps that reliable is simple: the storefront’s schema is the source of truth. Every request is read against what actually exists in your store before anything happens, so the model can’t invent a field that isn’t there or quietly act on the wrong product family. You get the speed of plain language with the safety of a typed system underneath.
The three kinds of AI reshaping commerce
- Generative — turns a sentence into pages, catalogs and campaigns. In MagicFront, this is how you build the store itself.
- Predictive — understands intent. It powers search and recommendations that read what a shopper means, not just the keywords they typed.
- Agentic — takes multi-step actions on your behalf, from applying a pricing rule across a catalog to processing a return.
You don’t have to choose one. A modern store needs all three working against the same data.
Eight ways AI shows up in a MagicFront store
1. Dynamic, per-customer pricing. Rule-based pricing, per-group and geolocation pricing, multi-tier quantity breaks and real-time multi-currency — so the right price reaches the right buyer automatically, without spreadsheets.
2. Search that understands intent. AI search returns results by keyword, SKU, description — or even an image — and bakes each customer’s own pricing into the results.
3. Content you create by describing it. Build product pages, categories and campaigns by chatting, and manage content across web, mobile and blog from a single place.
4. Personalization — every buyer, their own store. Products, prices, currencies, payments and stock adapt to who is shopping (user, group, country, channel).
5. Smarter self-service, fewer tickets. A customer area for orders, returns, loyalty points and wishlists, plus order tracking and automatic abandoned-cart recovery.
6. Real-time data and guidance. A live dashboard of concurrent visitors, active carts, conversion and abandonment, plus ready-made reports and Google Analytics cross-data.
7. Post-purchase on autopilot. One-click returns that generate the corrective invoice automatically, plus order-status automations and notifications.
8. Secure, tokenized checkout. Card data goes straight from the shopper’s browser to the payment gateway, and tokenization lets returning customers pay in a tap.
B2B and B2C, from one store
AI matters most where complexity is highest — and that’s B2B. MagicFront runs wholesale and retail from a single store: company accounts with sub-users and roles, per-group and geolocation pricing, sales-agent ordering on behalf of clients, minimum order quantities and one-click reordering. Same engine, same backoffice, no second platform.
The hard part nobody mentions
AI in commerce fails in predictable ways: it hallucinates data, acts on a stale view of your catalog, or succeeds confidently against the wrong thing. The fix isn’t a smarter prompt — it’s architecture. By re-reading the live schema on every turn and validating each action against what truly exists, MagicFront trades a little overhead for the elimination of an entire class of “the model thought the store looked one way and it actually looked another” bugs. The schema decides what’s possible, not the model.
Get started
Build your store by chatting with AI — from catalog and checkout to B2B, SEO and returns, all in one backoffice. Request a demo and see MagicFront running on your own catalog.
Frequently asked questions
What is AI-native ecommerce?
A store where AI is the way you build and run the business, not a feature on top of it. In MagicFront you create pages, pricing, promotions and catalogs by describing them in plain language.
How is this different from adding a chatbot to my store?
A chatbot sits on the surface and answers questions. An AI-native platform operates the store itself — and keeps it reliable by validating every action against your live storefront schema.
Can MagicFront handle B2B and B2C together?
Yes. Sell both from one store, with company accounts, per-customer pricing, sales-agent ordering and one-click reorders for wholesale buyers.
Does AI pricing and search work per customer?
Yes. Pricing adapts by customer, group, location and currency, and AI search returns each customer’s own prices inside the results.
Is my checkout secure?
Card data is sent directly from the browser to the payment gateway, and tokenization enables fast, secure repeat payments.