NEYRO The short answer: a cosmetics store case: a multi-agent AI consultant with RAG answers clients 24/7, night enquiries no longer wait for morning. Typical questions are covered by the knowledge base, complex ones go to a manager.
What was happening: night enquiries waited for morning
A cosmetics store received enquiries in Instagram Direct and WhatsApp around the clock. During the day managers coped, but from 22:00 to 09:00 enquiries hung unanswered. By morning the client had either already bought from a competitor or lost interest. Losses amounted to 30-40% of night traffic.
Typical questions — 'price', 'ingredients', 'in stock', 'delivery time' — took up 70% of managers' time. And manager turnover meant that product knowledge left with them.
What we did: a multi-agent AI consultant with RAG
We implemented a multi-agent AI consultant with RAG (Retrieval-Augmented Generation — generation with search through a knowledge base). Instead of one bot — a system of several agents: one greets and qualifies, the second selects products from the knowledge base, the third closes questions and forms the order.
RAG means the AI agent doesn't 'invent' answers — it searches for information in the store's uploaded knowledge base: product catalogue, prices, ingredients, availability, delivery terms. Answers are accurate and always up-to-date.
The client writes to Direct or WhatsApp — the AI consultant replies immediately, clarifies needs, recommends products, processes the order. If the question is complex — passes it to the manager with the conversation history.
What we got: numbers and results
- immediately — first reply speed to an enquiry at any time;
- 80% of typical questions are handled by AI without a manager;
- 24/7 — sales go on around the clock, night enquiries don't wait for morning;
- 0 loss of night traffic — every night enquiry is processed and reaches a sale or qualified hand-off to a manager;
- from 20 000 ₸ — the starting price of implementing an AI consultant.
Who this case is for
A multi-agent AI consultant with RAG suits online stores and businesses with typical questions: cosmetics, home goods, electronics, clothing, food. If the client often asks 'price/availability/ingredients/delivery' — the knowledge base will handle 80% of such conversations.
Especially effective for businesses with night enquiries: food delivery, cosmetics, everyday goods. The client buys when it's convenient for them, not when the office is open.
Want the same AI consultant for your store?
Free express audit — 30 minutes: we'll analyse your enquiries and show how AI will cover night sales.
Frequently asked questions
What is RAG?
RAG (Retrieval-Augmented Generation) is a technology where the AI agent searches for the answer in your knowledge base (catalogue, prices, terms) rather than 'inventing' it. This means answers are always accurate and based on your actual data, not on the neural network's general knowledge.
Don't we lose clients without a 'live' salesperson?
The opposite. AI replies immediately around the clock — the client gets instant help, not waiting for morning. If the question is complex, the conversation with history is passed to the manager. The client doesn't feel a 'bot' — they see a fast and helpful reply.
How much does such a consultant cost?
Start — from 20 000 ₸ for a Telegram bot or AI agent. The exact estimate depends on the knowledge base volume and number of scenarios, calculated after a free express audit (0 ₸) and doesn't change during the project.