How to Automate Odeko

A cafe runs on what arrived overnight

Odeko does two jobs for a coffee shop, and the first one is a truck. It supplies the cups, lids, syrups, oat milk, pastries and beans, and it restocks the cafe overnight, so the delivery has already happened by the time the first barista puts a key in the door.

The second job is the software wrapped around that. The ordering dashboard is where a shop's order guide actually lives, smart stocking insights learn what this particular cafe sells rather than what cafes sell in general, and the same company runs the consumer order-ahead app and rewards programme it built after merging with Cloosiv in 2020.

So it sits at the back door and at the front counter at once: the shelf, and the phone in a regular's hand. For an independent shop with one manager and no buyer, that is a filing cabinet of vendor accounts replaced by one login and one delivery.

The laptop work starts once the grinder is off

Ordering is not the part that keeps an owner up.

The rest of a cafe's admin is a long tail of small checks that exist only because the answer lives somewhere other than the question. Yesterday's takings are in the point of sale, and knowing whether Tuesday was any good means opening it and eyeballing it against last Tuesday. Gift cards sold two Christmases ago are still money owed, and nobody has totalled them since. A one-star review went up at nine last night. The seasonal drink launches Monday and the syrup for it has not been confirmed. Cold brew went up, so the till menu, the printed board, the order-ahead app and each delivery marketplace disagree for a fortnight. And the regular who came in every weekday until March has not been in since.

Odeko

The morning number, already there Yesterday's takings read off the point of sale and set against the same day last week, waiting in a message before opening.

Stock warnings that arrive in time Milk and bean levels checked against the rate the shop is actually using them, while tonight's order can still be changed.

Regulars who quietly stopped coming Loyalty customers who have not been in for a month, named with what they used to order and when they last did.

Predictive ordering solved the order guide, not the morning

Odeko already takes away the largest of those jobs, which is the ordering itself, and a shop should lean on it before paying for anything else.

Predictive ordering reads the cafe's own sales history alongside the weather and the public calendar and builds the order, so a busy week gets more pastry without anyone deciding it. Smart stocking insights get to know one shop's particular pattern. The dashboard is customisable and holds every vendor in one place instead of six phone numbers. Overnight restocking means nobody signs for a delivery mid-rush, and on the customer side one app carries mobile pick-up orders and the rewards programme together.

Between them, the shelf and the app are covered, and covered well.

The rest of the day is on somebody else's screen. The point of sale is a separate login. The Google listing is another. Each delivery marketplace is another again, with its own commission and its own menu. The bank is a fourth. An ordering platform can tell a manager what to order tonight. It was never the thing that would notice last Thursday was quietly down on the Thursday before, or that a review has sat unanswered since breakfast.

Yesterday's takings can be waiting beside the delivery

Most of what a cafe owner does at a laptop is not difficult. It is just work nobody has time to start before opening.

Yesterday's sales read off the point of sale and set beside the same day last week, so the comparison is in a message before the first grinder runs instead of on a Sunday afternoon. Milk and bean levels checked twice a day against how fast the shop is really going through them, so the warning lands while tonight's order can still be changed.

The mobile order queue watched through the rush, so a spike is flagged before the pick-up shelf fills with drinks going cold. A new review picked up the morning it appears, with a reply drafted and waiting for the owner to change a word. Outstanding gift card balances totalled every Monday and written into a sheet, so the liability is a number somebody has actually seen this year. A price rise entered once and then chased across every channel it should appear on, with a list of which ones still show the old figure.

And the regulars who stopped coming, named, with what they used to order and the last week they ordered it.

Nobody opened a coffee shop to compare Tuesdays

Before the grinder is on, those tabs get opened one after another, and not one of them needs somebody who can pull a shot.

WebRun is an AI agent that drives a real Chrome browser, signed in the way the shop already signs in. It opens the point of sale, the ordering dashboard, the Google listing or the delivery marketplace, reads what is on the screen, and leaves the answer where the manager already looks.

There is no API to wire up first and no integration waiting on somebody else to build it. It runs on your schedule in a private environment of your own, a run can be watched and stopped part way, and anything that reaches a customer, a review reply or a winback offer, is drafted and left for a person to send.

Each workflow below names the sites it opens and when it runs.