Retail & e-commerce
AI sales agent for online stores
Answers next to the product card faster than a support queue.
Online store, storefront, flower studio with delivery — one job: don’t lose the buyer to a support queue.
Product priority right now is HoReCa. This vertical exists so you see value for your job immediately — without a list of 14 micro-niches.
Do you have iPhone 15 Pro 256GB black, and what’s delivery in Moscow?
Yes, 256GB black in stock, 134,990 ₽. Moscow courier tomorrow by 18:00, free from 5,000 ₽. Place an order or need installment?
Value
Value next to the product card — not a “pretty bot”
- 01
Stock and delivery in seconds
Answers from catalog/feed and your delivery rules — while a competitor stays silent in chat.
- 02
Less load on support
Routine (returns, payment, timelines) doesn’t eat operators in peak season.
- 03
Manager lead with context
Complex or B2B orders go to CRM with the conversation already attached.
Scenarios
Deep dives by business type
How to adopt the agent in a specific type of business inside this vertical.
Why
Why retail shares a vertical with storefronts
A delivered bouquet and electronics with a feed — different catalogs, one mechanic: question → fact from the base → next step toward order.
On artcvetok.shop the widget already takes composition requests — the same principle as an e-commerce storefront.
Cases
Live storefront case
Setup
Tasks, knowledge base and integrations
Retail tasks
- Availability and specs
- Delivery and payment
- Returns
- Hand-off to a manager
Knowledge base
- Catalog / feed
- Delivery terms
- Return policy
- Warranty FAQ
Integrations
- InSales / storefront
- Stock webhook
- amoCRM
- Telegram
Deep dive
AI sales agent for online stores: stock, delivery, returns
Support drowns in “do you have my size?” and “when is delivery?”. The agent answers from your knowledge base and drives to a lead or order.
01
Why online stores need an AI chat
Shoppers ask the same questions over and over: is the item in stock, what is the delivery, how do I make a return, what's in the box. Operators can't keep up during peak hours, and at night and on weekends requests go unanswered altogether. An AI agent on your website and in messengers checks availability, explains delivery and payment, and guides the customer to place an order.
The agent is trained on your catalog, delivery and return terms, and FAQ. It doesn't make up timelines or prices; it relies on the uploaded data. For complex questions (for example, warranty on electronics), it offers to leave contact details or move to support.
Conversion grows: customers get an answer immediately and are more likely to complete the purchase. The load on the call center and messenger support goes down.
02
How to deploy an AI agent in an online store
Upload to NeuronChat your catalog or key product categories, delivery and payment terms, and return policy. Add an FAQ: delivery times by region, payment methods, how to make a return. The agent will use this in its answers and, when needed, offer to go to the cart or leave a request.
Turn on lead capture for requests like "call me back", "help me choose a gift", or "wholesale". Place the website widget on every page so shoppers can ask a question from any product card.
Update the knowledge base when new arrivals and promotions appear. This way the agent will offer current products and terms and cut down on "outdated" answers.
03
Results for online stores
Stores report higher conversion and average order value: customers get answers faster and abandon their carts less often. The load on support and the call center drops, especially during peak periods and at night.
A consistent style and reliance on an up-to-date catalog and terms reduce errors and disputes. Shoppers come to checkout with a clear understanding of availability, delivery, and returns.
You can start deployment with key categories and delivery terms and expand the knowledge base as needed. The website widget and the messenger bot work from the same knowledge base, so requests aren't lost.
04
FAQ about AI chat for e-commerce
Catalog integration can be manual: you upload key categories, bestsellers, and delivery terms to the knowledge base. The agent answers questions like "is it in stock", "what is the delivery", and "how do I return it", guides customers to place an order, or hands off to support for complex cases.
Night and weekend requests are no longer lost: the bot answers immediately, and requests like "call me back" or "help me choose a gift" land in your dashboard. In the morning, operators work through them by priority and reach the hot customers.
Demo
Demo for this vertical
Ask: “Do you have iPhone 15 Pro 256GB black, and what’s delivery in Moscow?”
FAQ
Questions from store owners
Can it see stock?
Yes, if a feed or API stock update is connected.
Is a flower shop retail?
Yes: catalog, delivery, order. Same storefront mechanics - no separate floral landing.
Speed up answers on the storefront
Connect catalog and delivery terms — the agent covers buyer FAQ 24/7.
