An AI salesperson on Instagram: from a comment under a video to a Nova Poshta shipment
The agent takes each shopper from her first question on Instagram to an order in the CRM and a Nova Poshta shipment. Payment, exchanges and tricky cases stay with the owner.
- Client
- Clothing store that sells on Instagram17 products in ≈350 variants; the owner answered every message and comment herself
- Service
- emilus. Agentanswers shoppers in chats
- Status
- In production at the clientthe agent serves the store's shoppers in Instagram messages and comments
- Before → After
- First reply: 40–50 min → up to 1 minrevenue +15% in the first 2 months, +20% order value on orders with an upsell
Money stays with the owner. Only she confirms payments; exchanges and tricky cases too.
per client data the client gave us this numberestimate we calculated it; the assumptions are next to it
The client's situation
The store sells clothing on Instagram, and every sale happens in messages and comments. The owner handled each inquiry herself: price, size, stock, photos, the order, the shipping label with Nova Poshta (Ukraine's largest delivery service), the prepayment check. The first reply took 40–50 minutes, one inquiry in five came in the evening or at night and waited until morning, and there was simply no time left to upsell.
until the first reply to a shopper
per client datainquiries arrive after hours and wait until morning
per client dataof people left when the reply took longer than an hour
per client dataupsells: there were none at all
per client dataThe owner's requirementThe agent speaks in her voice and sells by her rules. What the agent says always matches the stock.
What the system does
- Replies in Direct and under posts within a minute, so the shopper gets an answer while she is still scrolling her feed.
- Works nights, weekends and holidays: a message at 23:00 turns into an order right away.
- Recognizes the product from a photo, a reel, a story or a forwarded post and transcribes voice messages, so the shopper never has to explain what exactly she means.
- Takes prices, sizes, colors and stock only from the store's CRM at the moment of the question, picks the size from the size chart and sends photos of every color, so what it says always matches the stock.
- Suggests a fitting add-on before checkout: only from items the owner picked, and once per order, so the order value grows without pushing.
- Places the order and reserves the item after the shopper's clear “yes” and creates the Nova Poshta shipping label itself, so the owner types nothing by hand.
- Checks the prepayment receipt: recipient, date, amount and duplicates, then brings the owner a “Payment received / Not received” card, because only a person confirms a payment.
- Follows up with the shopper the next day if a sale has stalled, and answers “where is my order?” with the tracking number.
- Takes orders from abroad: collects all the details and passes them to the owner to price the delivery, so a buyer from another country is not lost.
- Gives the owner a dashboard: every conversation with each step the agent took, orders by status, tone, terms, answers to common questions, AI costs and a daily evening review. She can take over any conversation and hand it back to the agent.
How it is built
The agent takes prices and stock from the store's CRM, and no message gets lost, even during updates. Payment, exchanges and tricky cases are the owner's decision.
- Channels
- Instagram Directcomments
- Integrations
- Instagram, official Meta APIthe store's CRMNova PoshtaTelegram for the ownerspeech recognition
How it works
- shopperQuestionWrites in Direct, comments on a reel or sends a photo of an item
- agentRecognitionIdentifies the product from a photo, post, reel or caption
- CRMStockPrice, sizes and availability at the moment of the question
- agentAdviceSize, colors, photos, delivery and payment, a fitting add-on
- shopperSummary and “yes”The agent shows the summary and waits for a clear yes
- CRMOrderCreated with the item reserved
- Nova PoshtaShipping labelCreated automatically, number added to the order
- ownerA human confirmsA card in Telegram; only the owner confirms payment
How we test the agent
- A check on a year of real chats: the agent sees the same history the owner saw back then, and we compare the replies.
- A check on typical sales situations and on a “difficult shopper” who deliberately tries to throw the agent off.
- Automated tests inside the agent's system.
- End-to-end check: an outside person went from a comment to an order, and the shipping label was created automatically.
Result and payback
revenue in the first 2 months with the agent
per client dataorder value on orders with an upsell, which did not exist before at all
per client datato the first reply, around the clock
per client dataProject payback: ≈2 months per client dataFast replies brought back the ≈15% of shoppers who used to leave, and upselling raised the order value. The system paid for itself in 2 months.
What is running
- running
A reply within 1 minute, day and night: messages and comments, the product from a photo, stock and prices from the CRM
- running
Orders with reserved items, Nova Poshta shipping, alerts for the owner in Telegram
- running
Upselling that did not exist before: +20% order value on orders with an upsell
A similar task in your business?Solomiia, Pavlo's AI assistant, will ask about the details and prepare your conversation with him.
emilus. Agent
An AI agent that answers your customers in chats. Diagnostic $300 → pilot $2,500–3,500 in 3 weeks → system $6,000–15,000; we name the exact system price after the diagnostic. Support $300 or $500 a month; you pay for AI usage directly to its provider.