A customer asks a question. In about a second, a team of specialist agents checks your stock, your margin, and your capacity, predicts what will happen, and comes back with one safe move — then proves it when the result lands. Here’s every step.
It starts with a message — on WhatsApp, Instagram, your website, or typed in by a staff member at the counter. No app to download, no form to fill. The customer just asks, in their own words: “Can you cater 30 people tomorrow at 9am?” MindLoop reads what they actually want — how many, by when, and what they’ll pay.
MindLoop doesn’t answer with one chatbot. It convenes a team of specialist agents, each an expert in one corner of your store, and they work the problem at the same time — in about a second. Inventory checks stock and freshness. Pricing finds a number that moves the order and holds your margin. Capacity checks whether you can actually deliver. And a Write Guard sits over all of them, ready to veto anything that loses you money.
Before it commits to anything, MindLoop forecasts the outcome. Will the stock clear? Will the margin hold after the discount? Will the order ship on time? These aren’t hunches — they come from models scored against six public, state-of-the-art ML benchmarks. So the confidence MindLoop shows you is earned, not invented.
MindLoop weighs every agent’s read, runs it past the Write Guard one last time, and lands on a single move — the one most likely to work without risking your margin. If it’s confident and inside your rules, it replies to the customer directly. If it’s a call only you should make, it asks you, and tells you exactly why.
Once it’s approved — by you, or automatically under the rules you set — MindLoop acts: sends the quote and the payment link, books the order, issues the pickup pass. Then it waits for the result — did they pay, did it ship, did the margin hold — and grades its own call against what actually happened. Every result makes the next answer sharper.
It’s not one model guessing. Each agent owns one part of your store and checks it in parallel, every time.
Every prediction MindLoop makes gets graded against what actually happens. The engine behind it is scored on six public ML benchmarks — the datasets researchers use to measure state-of-the-art forecasting — so its confidence is calibrated, not marketing. When MindLoop says a markdown will clear 64% of your stock, it later checks whether it did. And when a call is still uncertain, it tells you it’s directional, not certified.
When a move works for you — a catering rule, a markdown that clears aged stock, a bundle that sells — it becomes an asset. List it, and other stores can run it, and you earn every time it pays off for them. Your best instincts become a second income.
Sell what worksSome problems are bigger than the daily calls. MindLoop hands those to vetted experts — but never your raw data. They see a redacted brief: age bands, demand trends, margin bands, the moves they’re allowed to make — never your store name, your customers, or your exact numbers. They build a fix, test it in a private sandbox, and you only pay when it beats your baseline.
See Expert StudioShort a dozen cartons of oat milk for tomorrow’s catering? Down a barista on Saturday? MindLoop can buy that capacity from a nearby store. And the stock or hours you’d otherwise waste, it can sell. Every trade settles only on proof of delivery.
See the ExchangeConnect the tools you already use. By morning it’s selling, saving, and deciding for you. No card to start.