When shoppers land on your product pages, many of them like what they see but still don’t know which version to choose, what goes best with it, or whether it’s right for them. In a physical store, a sales assistant steps in at the right moment to help. Online, most stores leave customers alone with their doubts.
That’s why we built AeroChat.ai, an AI chatbot for Shopify that not only answers questions instantly but also gives built-in product recommendations based on what shoppers actually want. That combination of conversation and guidance helps customers decide faster, increases average order value, and reduces the hesitation that leads to abandoned sessions.
In this guide, we’ll walk through why a Shopify product recommendation chatbot is becoming a core growth lever for modern brands.
Why Shopify Stores Need AI-Driven Recommendations
Online shoppers rarely move in a straight line. They:
open several tabs
compare options
worry about size or fit
hesitate over price
abandon carts when something feels unclear
Without guidance, many of them simply leave.
An AI recommendation engine inside your chat changes that. Instead of guessing what might convert, the chatbot uses real-time intent to suggest:
better-fitting variants
similar alternatives
complementary items
higher-value bundles
This makes your chat feel less like a help desk and more like a sales assistant. If you want to see how reply speed influences buying decisions, our article on reduce response time on Shopify breaks down the link between instant answers and conversions.
Where Chat-Based Recommendations Work Best
1. On Product Pages
Product pages are where most buying decisions are made. Here, AeroChat.ai can:
recommend the right size or variant
suggest a similar item if something is out of stock
highlight a better-selling or better-reviewed alternative
For example, when a shopper asks, “Is this good for summer?” the chatbot can answer and then suggest a lighter fabric option or a similar style that other buyers prefer.
We explain this behaviour in more detail in our Shopify product questions and FAQ guide, where we show how structured answers reduce confusion.
2. In Cart and at Checkout
By the time a shopper reaches the cart, their intent is high but not guaranteed. An AI chatbot can:
suggest frequently bought together items
offer a care pack or matching accessory
propose a slightly upgraded version with clear reasons
These recommendations feel natural because they happen in response to the shopper’s own questions.
3. Inside Instagram and WhatsApp Conversations
Many Shopify brands now receive product questions through Instagram and WhatsApp. People ask:
“Which one would you recommend?”
“Do you have something similar but looser?”
AeroChat.ai can answer these questions and recommend products immediately, even if your team is busy or offline. Our article on Shopify omnichannel chat management explains how this works across multiple channels without losing context.
The Limits of Traditional Recommendation Widgets
Most recommendation apps on Shopify are:
static carousels (“you may also like”)
based on broad rules or past behaviour
disconnected from live conversations
They don’t:
listen to what the shopper is actually asking
explain why a product is a better choice
adjust suggestions in real time based on the chat
AeroChat.ai fixes this by combining conversation + recommendation in one experience. Instead of pushing generic products, it uses the shopper’s words as the input for better suggestions.
How AeroChat Recommends Products Automatically
We designed AeroChat to think like a sales associate, not a script.
The process looks like this:
Understand intent
The chatbot listens for clues like “oversized,” “lightweight,” “for office wear,” “for travel,” or “for winter.”Read your product catalog
It uses product data, variants, materials, tags, and collections from Shopify to filter what actually fits that intent.Offer targeted recommendations
It suggests the most relevant products, explains why they match, and is able to answer follow-up questions.
This behaviour fits into the automation framework we describe in Shopify customer support automation, where AI handles both pre-purchase and post-purchase workflows.
Types of Recommendations That Increase Revenue
A Shopify product recommendation chatbot can support several sales patterns at once:
Similar alternatives
When something is sold out or not ideal, the chatbot can suggest a close match instead of letting the shopper bounce.Variant and size guidance
Based on height, body type, or fit preference, AeroChat.ai can gently guide shoppers to the right option, reducing returns.Complementary items
It can suggest matching bottoms for a top, accessories for an outfit, or care products for a material.Occasion-based picks
If a user mentions “wedding,” “office,” or “gym,” the recommendations pivot to more relevant categories.Higher-margin swaps
When appropriate, the chatbot can highlight a slightly better product with clear reasons (better material, longer lasting, more comfortable).
We’ve seen these patterns turn ordinary chats into consistent AOV lifts, especially when combined with strategies from our content on Shopify AI chatbot solutions.
Why Chat-Based Recommendations Convert Better Than Static Blocks
Static recommendation blocks are easy to overlook. Shoppers scroll past them without understanding why those products are being shown.
Chat-based recommendations work differently because they arise inside an active conversation. The flow looks like:
shopper asks a specific question
chatbot provides a clear answer
chatbot then suggests one or two relevant products with a short explanation
This mirrors a real retail interaction: answer first, recommend second. Done well, it feels helpful, not pushy.
Personalisation Without Complex Profiles
Many “personalisation” systems rely on logins, browsing history, or complex user profiles. That can be powerful, but it’s also slow to set up and hard to maintain.
AeroChat.ai uses conversation-level personalisation instead:
“I usually wear medium but like relaxed fits.”
“I need something breathable for summer.”
“I’m buying a gift for my sister.”
From these small bits of information, the chatbot can refine recommendations on the spot. This works particularly well for first-time buyers, where you do not yet have purchase history to rely on.
Built Around Real Shopify Catalog Data
For recommendations to feel trustworthy, they must always reflect:
real-time stock levels
correct variants and sizes
up-to-date prices
accurate delivery options
correct fabric and care information
AeroChat.ai is integrated with Shopify so its suggestions are always based on what your store can actually sell and ship. That reduces frustration, prevents promise-versus-reality mismatches, and keeps support overhead low.
We explore this inventory-aware approach further in our guide to reducing repetitive customer questions on Shopify, where accurate data is the foundation of fewer tickets.
How This Helps Your Support Team Too
Product questions and “which one should I choose?” messages are some of the most draining for support teams because they require:
digging through product pages
manually comparing options
switching between systems
typing longer, thoughtful responses
When AeroChat.ai handles that heavy lifting, your team spends their time on:
edge cases
higher-value customers
complex orders
post-purchase issues that truly need human judgment
In practice, that means fewer late-night replies, fewer backlogs, and more energy spent on growth rather than firefighting.
Quick Setup, No Manual Bundles Required
We built AeroChat.ai so that merchants don’t have to build endless rules or hand-curated bundles.
Once you:
sync your catalog
define a few brand voice preferences
the chatbot can begin answering questions and recommending products automatically. It’s designed so you feel the benefit within days, not months.
Takeaway
Static product pages and basic recommendation sliders are no longer enough for serious Shopify growth. Shoppers want guidance, reassurance, and suggestions that actually match what they have in mind.
An AI chatbot with built-in product recommendations turns every question into a chance to:
clarify doubts
suggest better options
increase order value
create a more personal experience
If you want your conversations to lead to carts instead of confusion, a Shopify product recommendation chatbot like AeroChat.ai is one of the most efficient ways to get there.
For a broader look at how AI can support your store across pre-purchase, tracking, and support flows, explore our content hub on Shopify AI chatbot solutions.