AI SYSTEMS / E-COMMERCE
Every question in the DMs — answered, and on time
A shopper who doesn't get an answer within 10 minutes buys elsewhere. An AI consultant replies in 4 seconds: with full catalog knowledge, the status of a real order, and a memory of what the customer bought before. At night, on weekends, in three languages.
Sound familiar?
"What would you recommend?" questions hang in the DMs for hours — one manager, five channels
"Where is my order?" is half of all inquiries, and every one means digging through the admin panel
Night and weekend inquiries convert to zero: by morning the customer has already bought elsewhere
PROTOCOL
How it works
Catalog knowledge, not "let me check with a colleague"
The consultant knows ingredients, stock, prices and product pairings. It recommends against the customer's actual request — and never pushes extras on someone waiting for an order or unhappy.
Order status in seconds
"Where is my order?" is closed automatically: the AI sees the real status and answers with specifics. Half of the manager's workload disappears.
Memory and a continuing conversation
Past purchases, preferences, reactions. A repeat sale doesn't start from zero, but from "last time you took...".
PROOF
Numbers from practice
MIA is the AI consultant of a premium skincare e-com brand: real clients, Instagram DMs + website + Telegram, three languages.
What we implement
Frequently asked questions
We're on Shopify/OpenCart/custom-built. Will it fit?
Yes — the consultant connects to the catalog and order statuses through the platform's API. MIA runs on Shopify; we adapt the integration layer to yours.
Will the AI sell too aggressively?
The opposite: the system has a hard-wired "know when to stay quiet" rule — not a single pitch to someone waiting on an order or unhappy. That protects LTV instead of killing it.
What about peak loads — sales, high season?
The AI has no queue: the hundredth conversation is handled exactly like the first. Peak days are precisely where manual support loses the most orders.
How do we know it will pay off for us?
We calculate it on your funnel: how many inquiries, what conversion to order, what average check. MIA's payback came out at ≈4 months — the math is open in the case study.
Price it for your store
A link to your store — we'll calculate the payback on your inquiry volume and average check.
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