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Togo Automation
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Your POS is smart. But it won't remind you to order three extra cases of wings for Friday.

Toast and Square are getting smarter. But their smart layer is built for the average merchant — not for your Friday.

01 The pain

Ask a Winnipeg restaurant or shop owner where things slip and it's rarely the register. It's the pattern nobody has time to watch — wings sell out every Friday night, so someone should be ordering three more cases by Wednesday, and there's no one whose job is to notice.

Small businesses already run a POS here, a loyalty app there, a social scheduler somewhere else — none of them talking to each other. The signal in one never triggers the action in another.

02 Where your software stops

Toast and Square aren't standing still. Toast IQ now sits inside the dashboard answering questions about your sales and inventory. Square shipped Square AI in Canada this spring, added a MarketMan-powered inventory tool with reorder alerts, and is testing Managerbot — an agent that proposes actions and waits for your approval. And if you're on Lightspeed, the story is similar.

So the honest version is: the platforms know this layer matters, and they're building their version of it. Here's what their version is — and isn't.

It's generic. Managerbot proposes what a median Square merchant needs, not what your Friday looks like with your wing supplier who only takes orders by email before Wednesday noon. It lives inside one ecosystem — a Square nudge can't draft the order to a vendor who's never heard of Square, or line up the Instagram post in the tool you actually use. It's rented — turn off the subscription, the intelligence goes with it. And it runs on US infrastructure, with your sales data processed under US rules.

The pattern

The platforms are adding a "smart layer" — but it's their layer, shaped for their average customer, inside their walls. The layer shaped around your suppliers, your tools, and your week is still yours to build. That's the one I build.

03 Why not just wait for the platform — or grab a plug-and-play app?

Fair question. Both are real options in 2026, so here's the honest comparison.

Waiting for the platform means getting the average-merchant version, on their timeline, in their ecosystem, on their servers. If your whole operation lives inside Square and a generic nudge is enough, that may genuinely be fine — I'd rather tell you that than sell you something you don't need.

Plug-and-play apps connect fast, and that's their whole pitch. The catch shows up in month three: the app doesn't know your supplier's quirks, nobody configured it around your actual week, and when the stock count stops matching reality, "support" is a ticket queue in another time zone. Most owners quietly stop trusting the numbers — and an automation nobody trusts is worse than none.

What I do differently comes down to three things. The system is built around your specific workflow and then it's yours — finished code you own, not a subscription that evaporates. Your data stays in Canada, on AWS's Montreal region, not on US servers. And I'm in Winnipeg: I don't hand over a login and disappear — I stay through the first weeks, sitting with whoever approves the orders, until your team actually uses it without thinking about it.

One more thing about the approval step, because Square makes the same "human approves" promise: approval here isn't a checkbox. Every drafted order links back to the exact sales pattern behind it — which Fridays, which items, which numbers. The person who clicks approve owns that call and can show their work. That's the difference between a bot asking permission and a system your front desk is accountable for.

04 The gap I fill

I build the layer that sits on top of Toast or Square — watching the sales pattern, drafting the reorder nudge before a busy night, and lining up the social post to match — so the signal in one tool actually moves the next.

And nothing places an order or posts on its own. You review every drafted reorder and message and click approve first. Every suggestion links back to the sales data behind it — if the numbers don't add up, it flags for a look instead of guessing.

In one line Square's bot can remind the average restaurant to reorder. I build the version that knows your wings, your supplier, your Friday — and it's yours, in Canada, with someone local who stays until your team trusts it.