AI for online stores and retail
A catalogue, shoppers and shelves that don’t wait for manual work
We implement AI in retail and e-commerce: marketplace product cards, an online store assistant and support, shelf audits and queues by camera. Connected to your catalogue, CRM and accounting.
Where AI pays off: retail and e-commerce
In retail AI pays off on volume: thousands of product cards, thousands of identical shopper questions, hundreds of shelves across a chain. We built a SaaS and a Telegram bot that generate product cards and a digital signage system for a store chain in Kazakhstan, so we start with the process where volume already overwhelms the team.
Product cards for marketplaces
AI writes titles, descriptions and attributes to marketplace requirements and prepares infographics for the cards. Hundreds of SKUs go live without a copywriter per item.
How it works →AI shop assistant
Helps pick a product from the catalogue, answers about stock, sizes, delivery and returns and suggests related items. Works on the website and in messengers and passes complex cases to a manager.
How it works →Order status, returns and exchanges
"Where is my order", "I want to return it", "wrong size arrived": AI answers from the order data, arranges returns by your rules and takes the load off support in peak season.
How it works →Shelf audit
Staff or merchandisers photograph the shelf and the system checks the planogram, gaps and price tags. A report across the chain instead of manual walk-throughs and photos in a chat.
How it works →Store queues and traffic
Cameras count visitors, checkout queues and waiting time. The manager gets a signal to open a till before shoppers leave and sees traffic by hour for staff scheduling.
How it works →Online stores and chain systems
Online stores, migration from site builders to your own platform, and digital signage systems across a store chain. For Naturalia in Kazakhstan we deployed one on the client’s servers.
How it works →
How we start
An AI pilot starts at RUB 300,000, with a precise estimate within 1–2 days after the brief. In-store video analytics is priced together with cameras.
- We pick a high-volume process: product cards, shopper questions, shelves or queues
- We connect the catalogue, order data or the cameras of one store
- We check quality on real products and questions
- A 3–6 week pilot with metrics: time, conversion, support load
- We scale to the whole catalogue or chain
Questions
What does AI give an online store?
Fast product cards for the website and marketplaces, an assistant that answers and recommends products around the clock, and order and returns support without peak-season queues.
Will generated cards pass marketplace moderation?
We tune generation to the requirements of the specific marketplace and your category, and send doubtful fields to a person before publishing.
Is this suitable for a small shop?
Yes, if volume is already a problem: hundreds of SKUs or dozens of similar questions a day. For smaller volumes our ready product ChatNeuron is often enough.
Other industries
- Construction and developmentDocumentation, drawings, site safety, apartment sales
- ManufacturingLine downtime, defects, cost from drawings, workplace safety
- Logistics and warehousingDocuments, shipment requests, warehouse and gate by camera
- Real estate24/7 answers to buyers, lead qualification, call quality control
- Tourism, hotels and events24/7 booking, guest questions, tour and rental requests