Use case

Turn product questions into orders

Every pre-purchase question is a sale in progress. Fetchply answers it in seconds with your live catalog, real prices, real stock, real images, and can take the whole order without the shopper ever leaving the chat.

Start free Talk to us

Free plan · 200 AI messages a month · No credit card

I need a gift under $50 for a runner

Products recommended

Three picks in stock right now: the Trail Socks 3-pack ($24), the Reflective Cap ($32), and the Hydration Belt ($48). Want to see any of them?

Shopify
WooCommerce
WhatsApp
Instagram
Slack
Google Sheets
Webhooks

What selling in chat looks like

Live
catalog data behind every recommendation: price, stock, images: 10s
to answer a sizing question while the decision is in progress: 4
selling surfaces: widget, WhatsApp, Instagram, Guided Flows: 100%
of in-chat orders reviewed by the customer before confirmation

Recommendations work with Shopify, WooCommerce, or the built-in catalog.

In short

Fetchply increases sales by answering pre-purchase questions instantly and recommending products from your live Shopify, WooCommerce, or built-in catalog, with real names, prices, images, and stock. On Shopify it sees the pages a visitor viewed and the current cart, so suggestions fit what the shopper is already considering. Stores that sell over chat can capture the complete order, products, contact details, address, and confirmation, inside the conversation.

The agent never invents products or prices: if it is not in your catalog, it cannot be offered.

How does an AI chat agent increase ecommerce sales?

It removes the wait between a buying question and its answer. The agent translates “I need something for X under Y” into in-stock products from your live catalog, answers sizing and shipping doubts on the spot, and for chat-first stores captures the entire order in the thread.

The problem

Shoppers leave when questions wait

The questions that block a purchase are small and urgent. Left unanswered, the tab closes:

Does this run small?Do you ship to Canada?Which one fits a beginner?Is this in stock?

By the time a human replies hours later, the shopper has bought elsewhere or lost interest. The cost is invisible because abandoned questions never become tickets.

Answer at the moment of intent and the same traffic produces more orders.

Capabilities

How Fetchply sells

The agent is grounded in your live catalog and your trained content, so every buying answer is concrete: a real product, a real price, current stock.

What would you recommend?

Product recommendations

Shoppers describe a problem or budget; the agent searches your live catalog and answers with product cards: image, price, link.

I’ll take two of the blue one

In-chat ordering

For chat-first stores: the agent assembles the cart, collects name, contact, and address, and confirms only after a full review.

Browsing hiking boots

Storefront context on Shopify

The agent sees viewed pages and current cart contents, including applied discounts, so suggestions fit the session.

Do you have a discount?

Grounded promotion answers

Offers and policies come from your trained content, so the agent never invents a coupon you do not run.

¿Hacen envíos a México?

Any language

Shoppers ask in their own language, including romanized text, and get accurate catalog answers back.

Fits your usual size

Doubt removal at the moment of intent

Sizing, shipping, and returns answered mid-decision, before the tab closes, from your approved content.

Channels

On every channel your customers use

Selling conversations happen everywhere. The same catalog grounding and the same rules follow the shopper across surfaces.

Website chat

Product cards render inside the widget while the shopper browses, one click from the product page.

Recommendations and complete in-chat orders inside the thread customers already use to negotiate.

Instagram

Reel viewers ask about fit in DMs; the agent answers from the same catalog and guides to purchase.

Guided Flows

Scripted journeys with product nodes end in a concrete, in-stock suggestion instead of a dead end.

Escalation

When the sale needs a person: seamless takeover

High-value carts, custom requests, and negotiations deserve a human. The handoff is structured so no momentum is lost:

Your team takes over from the shared inbox, mid-thread, with the whole conversation visible
The AI keeps answering until a teammate is actually assigned, so the shopper is never left in silence
Quick replies and inserted Instant Answers keep response times short
Slack notifications alert the team the moment a takeover is requested

The same agent also cuts ticket volume by resolving repeat support questions, one system for both sides of the conversation.

Setup

From signup to live, in one sitting

1
Connect a product source
Install the Shopify app, connect WooCommerce, or add products to the built-in catalog.
2
Train on your content
Sizing guides, shipping pages, and policies become the grounding for every pre-purchase answer.
3
Tune what is sellable
Control currency, categories, and draft-product visibility so the agent only offers what you want sold.
4
Enable in-chat ordering
Optional, off by default: turn it on per agent if you sell directly over chat.
5
Publish and measure
Embed the widget, connect WhatsApp and Instagram, and track product searches and clicks in analytics.

Works with Shopify, WooCommerce, or no platform at allOut-of-stock items stop being recommended automaticallyFree plan to start, no credit card

Results

What you can measure

Commerce activity is attributed to the agent in analytics:

Product searches
every catalog query the agent ran for a shopper: Product clicks
recommendations that pulled a shopper to the product page: Order lookups
post-purchase questions resolved without a ticket: Captured orders
complete in-chat orders with status tracking

Period comparisons across 7, 30, and 90 days show whether the agent’s contribution is growing, and email summaries deliver the recap on schedule.

Comparison

Before and after

Scenario	Before Fetchply	After Fetchply
“Which one fits a beginner?”	Shopper waits hours for email support, buys elsewhere	Three in-stock options recommended in seconds
Sizing doubt at checkout	Tab closed; the doubt wins	Answered mid-decision from your sizing guide
Order negotiated on WhatsApp	Team retypes the order into a spreadsheet	Structured order captured and confirmed in the thread
Product goes out of stock	Stale recommendations keep pointing at it	Live catalog data drops it automatically
High-value custom request	Lost in the general inbox	Handed to a person mid-thread with full context

Ready to answer buying questions in seconds?

Start free and connect your catalog today.

Start free Talk to us

“Which one fits a beginner?”

Before: Shopper waits hours for email support, buys elsewhere

Three in-stock options recommended in seconds

Sizing doubt at checkout

Before: Tab closed; the doubt wins

Answered mid-decision from your sizing guide

Order negotiated on WhatsApp

Before: Team retypes the order into a spreadsheet

Structured order captured and confirmed in the thread

Product goes out of stock

Before: Stale recommendations keep pointing at it

Live catalog data drops it automatically

High-value custom request

Before: Lost in the general inbox

Handed to a person mid-thread with full context

Ready to answer buying questions in seconds?

Start free and connect your catalog today.

Start free Talk to us

When this does not apply

No product source connected.: Recommendations need Shopify, WooCommerce, or the built-in catalog. Without one, the agent answers from content only.
Replacing a full checkout.: In-chat ordering uses the built-in catalog and suits chat-first stores. Shopify and WooCommerce stores keep their own checkout.
Invented discounts and bundles.: The agent offers only what your catalog and trained content define. Dynamic pricing games are out of scope by design.

FAQs

Common questions

Does the agent invent products or prices?

No. Recommendations are pulled from the connected catalog at conversation time, with real names, prices, images, and stock. If a product is not in your catalog, the agent cannot offer it.

What happens when a product sells out?

The agent reads current stock from the live catalog, so out-of-stock items stop being recommended without manual cleanup.

Can I sell without Shopify or WooCommerce?

Yes. The built-in catalog lets you add products with names, prices, images, SKUs, and stock directly in the dashboard, and recommendations work the same way on every channel.

Is in-chat ordering on by default?

No. Commerce features are off until you enable them per agent, and no order is confirmed without a name, contact, address, and an explicit customer review of the full summary.

How do I know the agent is actually selling?

Analytics attributes product searches, product clicks, order lookups, and captured orders to the agent, with period comparisons so the trend is visible.

Turn product questions into orders

What selling in chat looks like

In short

How does an AI chat agent increase ecommerce sales?

Shoppers leave when questions wait

How Fetchply sells

Product recommendations

In-chat ordering

Storefront context on Shopify

Grounded promotion answers

Any language

Doubt removal at the moment of intent

On every channel your customers use

Website chat

WhatsApp

Instagram

Guided Flows

When the sale needs a person: seamless takeover

From signup to live, in one sitting

Connect a product source

Train on your content

Tune what is sellable

Enable in-chat ordering

Publish and measure

What you can measure

Before and after

“Which one fits a beginner?”

Sizing doubt at checkout

Order negotiated on WhatsApp

Product goes out of stock

High-value custom request

When this does not apply

Common questions

Related use cases

Capture more leads

Sell & support on WhatsApp

Automate customer support

Straight answers before you start.

Give every questionthe right path.

Turn product questions into orders

What selling in chat looks like

In short

How does an AI chat agent increase ecommerce sales?

Shoppers leave when questions wait

How Fetchply sells

Product recommendations

In-chat ordering

Storefront context on Shopify

Grounded promotion answers

Any language

Doubt removal at the moment of intent

On every channel your customers use

Website chat

WhatsApp

Instagram

Guided Flows

When the sale needs a person: seamless takeover

From signup to live, in one sitting

Connect a product source

Train on your content

Tune what is sellable

Enable in-chat ordering

Publish and measure

What you can measure

Before and after

“Which one fits a beginner?”

Sizing doubt at checkout

Order negotiated on WhatsApp

Product goes out of stock

High-value custom request

When this does not apply

Common questions

Related use cases

Capture more leads

Sell & support on WhatsApp

Automate customer support

Give every question
.