Your managers' AI shift partner, on WhatsApp.

Shifts are usually planned from last week's sales and a manager's memory. We forecast demand in 15-minute intervals for every location, so every shift matches expected sales.

The right people on at the right time means faster service: more of the customers who arrive go on to buy, and fewer walk away. Margin is protected through better scheduling, not fewer people, and managers get time back to train the staff starting out with them.

The schedule can flow into your existing scheduling system, or reach the manager on WhatsApp through YooDoo.

Order too much and cash sits on the shelf until it becomes waste. Order too little and you run out in front of customers.

We forecast demand for every item, in every location, and turn it into a recommended order that the location manager or your central ordering team can confirm or adjust. Stock is ordered against forecast demand, not habit, and corporate sees where orders and outcomes diverged.

Recommended orders can go into your existing ordering or inventory system, or to the manager on WhatsApp through YooDoo.

Prep decisions are made under pressure, every day, in every location. We forecast demand for every item in 15-minute intervals, so each location prepares the right quantity at the right time.

What you sell is ready. Less waste. Nothing runs out at the peak.

Prep plans can go into the systems you already run, or reach the manager on WhatsApp through YooDoo.

A promotion can fill the location and still lose money. We design the promotion itself: the products and the price that go into it, set using the price elasticity of each product at each location, to maximize profit.

We predict the profit effect of each campaign before it runs, then measure what it actually did, so you know which to scale and which to stop. Operations gets the uplift in the forecast, so stores are staffed and stocked for it.

New products take shelf space, prep time and marketing budget.

We predict how a launch will perform, including how much it will take from products already on sale, and track it against that prediction from the first day, so you know early which products to scale and which to stop.

Price increases are often blanket decisions made with no view of how demand will respond.

We forecast the demand effect of a price change from the price elasticity of that product at that location, so you can protect margin where customers will accept it and hold price where they will not.

Every item you sell competes for attention, space and margin.

We show which items earn their place, where they should sit, what they should cost, and which pairings and upsells maximize profit, using item-level demand from every location.

Delivery grows revenue and erodes margin at the same time. We forecast delivery demand so you schedule the right number of drivers, and we show which delivery radius each location can serve profitably.

Labor scheduling adapts too: delivery-heavy periods need fewer people out front and more preparing the order.

Small differences across many locations add up. We understand your brand's DNA in its real market, and how it should flex at each location to capture all the demand there.

We compare every location against its own forecast and against the network, and show which levers, products, offers, operating hours and more, will capture the unmet demand at each one. Area managers see which stores need attention today, so they manage by exception.

A new site is one of the largest capital decisions a group makes. We forecast demand up to 18 months out and model how a new location will perform, using your brand DNA and what your existing locations have already taught us, including the effect a new site will have on the locations you already run.

The investment case is built on evidence.