Shopify Product Recommendation Chatbot for Better Product Discovery

Turn product questions into guided shopping conversations

Online shoppers often know the outcome they want before they know which product to buy.

They may ask:

• “Which one is best for dry skin?”
• “Do you have something under $50?”
• “What is the difference between these two products?”
• “Which size should I consider?”
• “I need a gift for someone who likes coffee — what should I look at?”

A normal search box works best when the shopper already knows the product name or keyword. A conversational assistant can help when the shopper describes a need instead.

Farnsla gives Shopify stores an AI chat widget that can use synced product knowledge and merchant instructions to answer those questions in a more natural way.

How product recommendations work with Farnsla

1. Install Farnsla on your Shopify store.
2. Farnsla uses synced product knowledge available to the app.
3. Add your own guidance about how products should be explained or recommended.
4. A shopper describes what they need in ordinary language.
5. Farnsla uses the available product information and your instructions to help narrow the options.
6. The shopper can ask follow-up questions instead of starting over with another search.

The goal is not to replace your product pages. It is to help customers reach the right product page faster.

Example: skincare store

Customer: “I want a moisturizer for dry skin and I do not want anything too expensive.”

Instead of telling the customer to browse the entire moisturizer collection, Farnsla can use the product knowledge available from the store to help identify relevant products and explain the differences that are present in that information.

The shopper can then continue:

“Which one is lighter?”

“Do you have a smaller size?”

“What is the price difference?”

That conversational narrowing is where an AI product recommendation chatbot can be more useful than a static menu.

Example: fashion or accessories

A shopper might ask:

“I need a bag for work that can fit a laptop.”

Farnsla can use your synced catalog knowledge to point the shopper toward relevant items if the required information exists in your product data and instructions. If an important detail is not available, the chatbot should not invent it — the merchant should improve the product information or let a person follow up.

Keep recommendations grounded in your store

Good product recommendations depend on good product information.

Farnsla is most useful when your product titles, descriptions, variants, attributes, and merchant instructions clearly explain what shoppers need to know. If you want the AI to distinguish between use cases, ingredients, compatibility, sizing, materials, or other buying criteria, make sure those details exist in the product knowledge you provide.

This makes your chatbot strategy closely connected to catalog quality: better product information gives the assistant better material to work with.

Use merchant instructions to shape the conversation

You can define tone, policies, FAQs, brand information, and product rules inside Farnsla. That helps keep product conversations aligned with the way your store wants to sell and support customers.

For example, you might tell the assistant to:

• avoid recommending unavailable categories
• explain key product differences simply
• avoid making claims that are not in your product information
• direct sizing exceptions to a human
• mention an important store policy when relevant

The chatbot should support your merchandising strategy, not create its own.

Product help plus customer support in one widget

A product recommendation conversation often turns into a support conversation.

A shopper may first ask which product is suitable, then ask about shipping, returns, order status, or whether they can speak to someone. Farnsla combines product discovery with FAQs, store-policy answers, secure order questions, follow-up capture, and saved chat history.

That means the customer does not need a separate tool for every stage of the conversation.

Help shoppers get to the right product faster

Give customers a conversational way to ask product questions, compare options, and discover relevant items from your Shopify catalog.