Cognicart builds the AI layer your store is missing — answering order questions, fixing the checkout people abandon, catching what your vendor got wrong, and winning back the carts nobody had time to chase.
Each one exists because it solved a real, expensive problem on a live store — not because it demoed well.
Answers "where is my order", processes refund requests, and handles product questions inside your store — pulling live status from your courier and fulfillment partner instead of guessing. It resolves the ticket, or hands you a clean summary when it can't.
Catches the silent gap between what your store recorded and what your vendor actually shipped — before the customer finds it first.
Reaches customers the moment a cart stalls or a payment hangs — over WhatsApp, with a real offer rather than a generic reminder.
A single-screen checkout that replaces the multi-step default — with partial COD built in, so customers can pay a deposit now and the rest on delivery instead of abandoning at the payment step. AI product suggestions surface alongside the order, turning the checkout into the last place you can still raise cart value.
Every system Cognicart sells started as something we needed ourselves — a chatbot that could actually close an order query, a checkout that stopped losing people at the payment step, a reconciliation job that caught vendor mismatches nobody was checking, and a recovery flow for carts that were never going to be chased by hand.
It runs in production today. Not in a sandbox, not in a demo video.
No generic install. Every system is wired into your store's real data before it ever goes live.
Every store's stack is different, so a fixed price before looking at your data would be a guess. Here's the shape of it.
WooCommerce is where we have the deepest experience, since that's what our own store runs on. Shopify and custom stacks are possible — the audit is where we tell you honestly whether your setup is a good fit or whether you'd be paying us to learn.
A single system is typically a few weeks from audit to live, depending on how clean your data and vendor APIs are. The full stack takes longer because the three systems share state. We give you a real timeline after the audit, not before.
It escalates instead of improvising. The support system is built to hand off to a human with a clean summary when it isn't confident, because a wrong refund answer costs more than a slow one. You set the thresholds.
Yes, scoped to what the build needs — API credentials and the specific integrations involved. We can work with a limited-permission account, and access is handed back or revoked at the end of the engagement.
You should, if a generic FAQ bot solves your problem — it's cheaper. The difference shows up when a customer asks where a specific order is and the bot has no live courier data, or when your vendor ships something different from what your store recorded. That gap is what these systems exist to close.
Most AI automation agencies build for clients first and find out later whether it survives contact with real orders. Every system here was built to fix a painful, specific problem on a live D2C store before it was ever offered to anyone.
That means fewer surprises. The courier quirks, the vendor data that doesn't match, the customer who asks about an order placed under a different email — those have mostly been hit and fixed once already, on our own money.
Book a free audit. We'll look at your store and tell you honestly which of these would actually move the needle — including if the answer is none of them.