Conversational commerce, built on your catalog
AI shopping assistants for e-commerce
Most online stores still shop the same way — a search bar, a wall of filters, and a customer who has to already know what they want. But shoppers often don't; they know the occasion, the person, the budget or the feeling. Toobler builds the layer that turns that into a conversation: AI shopping assistants that sit on top of your catalog and guide customers to the right product by talking to them.
From catalog to conversation
A conversational shopping assistant changes how a store works — from “here are our products, go find yours” to “tell us what you’re looking for, and we’ll help you find it.” The customer describes a need in plain language and the assistant does the translating: understanding intent, narrowing the catalog, and presenting real products they can buy. It suits high-consideration retail especially well — fashion, fine jewelry and watches, beauty, furniture, electronics, gifting — anywhere a shopper needs guidance, not just a filter.
How it works
A conversation, not a form
- 01
The customer describes a need
In their own words — an occasion, a recipient, a style, a budget, a material or a mood.
- 02
The assistant understands intent
It extracts the factors that matter from ordinary conversation — occasion, type, style, budget, preferences, recipient.
- 03
It guides and recommends
Narrowing thousands of products to the few that fit, and explaining why.
- 04
The customer sees real products
Surfaced as structured product cards — image, name, price, availability and a direct link to buy.
Specialized expert personas
A set of AI experts, one catalog
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Product guide
Helps customers find, compare and evaluate pieces against a stated need.
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Stylist
Advises on pairing, layering, occasion and current trends.
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Gift concierge
Recommends by recipient, occasion and budget.
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Category educator
Answers the domain questions that build confidence — materials, grading, certification, care, sizing.
Understanding more than text
Beyond a typed query
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Image understanding
A customer can upload a photo of a piece or an outfit and get visual search and styling analysis against your catalog.
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Preference memory
A saved profile of what a customer owns, likes or is looking for makes the assistant more relevant over time and across visits.
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Stated + inferred intent
It combines what the customer says with the preferences it has learned to keep recommendations personal.
Why it matters
What it changes for the business
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Discovery that matches how people shop
Customers explain what they want instead of hunting through filters — so more of them find something and fewer bounce.
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Guidance and confidence
An always-available expert helps hesitant shoppers commit, which especially moves high-consideration and gift purchases.
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Deeper customer understanding
Every conversation is first-party signal about intent and preference — feeding personalization, merchandising and BI.
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A catalog that becomes an experience
The store shifts from a static product list to an interactive, 24/7 companion, without replacing the storefront underneath.
How Toobler builds it
Grounded in your catalog, not hallucinated
This is applied, governed AI engineering brought to commerce. We sync your products (initial and incremental) and use retrieval over your own catalog and knowledge base (RAG) so recommendations and answers are grounded in real inventory and real facts — the model guides, your data decides. We integrate securely with your store (Magento, Shopify, WooCommerce or a custom stack) through a server-to-server layer with guest sessions, auth and security hardening. And we build the full engine, not just a chat widget:
- conversation management;
- LLM and prompt processing;
- a product-search service;
- an AI recommendation engine;
- image understanding;
- chat history and analytics;
- clean REST APIs.
It is engineered as a real product and documented for your team.
Turn your catalog into a conversation
If you run an online store and want customers to describe what they need instead of hunting through filters, talk to Toobler's engineering team. We'll scope an AI shopping assistant grounded in your own catalog.