There is an assumption baked into most restaurant forecasting software: the items you sell are the items you prep. You sell 40 chicken sandwiches, you prep enough chicken for 40 sandwiches. The math is linear, the units are intuitive, and the workflow is straightforward.
Bakeries do not work this way.
A bakery franchise might produce 200 distinct items across its menu. Those items are made in fixed production increments, not flexible quantities. Croissants come off the line in batches of four. Certain breads require specific dough volumes that serve as the base for multiple SKUs. A single batch of laminated dough might become pain au chocolat, almond croissants, and plain croissants depending on how it is portioned and finished.
This means the forecast cannot simply tell you how many croissants to make. It has to tell you how many batches to run, knowing that each batch produces a fixed number, and that rounding up or down has direct cost and waste implications.
Production Increments Change the Math
When a restaurant forecasts demand for grilled chicken, the quantity can be any number. Fourteen portions, 37 portions, 52 portions. The prep cook adjusts accordingly. There is no inherent constraint on the production unit.
Bakeries operate with hard constraints. If the oven holds trays of 12, and each tray takes 22 minutes, the production plan is not just about quantity. It is about cycles. Forecasting 37 croissants means running four trays, producing 48, and accepting 11 extra. Forecasting 25 means running three trays, producing 36, and deciding whether those 11 extra represent insurance against a strong sales day or waste at close.
A forecasting system that does not understand production increments will consistently generate numbers that the baking team has to manually adjust. And manual adjustment is where accuracy goes to die, because the adjustment is based on the baker’s gut, not the data.
The Stockout Problem Is Different in Bakeries
Stockouts in a traditional restaurant are annoying but manageable. You 86 the salmon, and guests order the steak instead. The kitchen keeps running. Revenue takes a small hit, but the impact is contained to that one item.
In a bakery, a stockout is a display problem. An empty case is a signal to every customer who walks in. It says: we are running low, we are past our peak, you should have come earlier. A bakery with three empty spots in the pastry case at 2pm is losing sales not just on those three items, but on the perception of the entire brand.
This is why bakery operators care deeply about product availability throughout the day, not just total daily production. They need to know not just how many croissants to bake, but when the case will start running thin and whether a second bake at noon can close the gap.
Monitoring product availability in real time, across categories, is not a nice-to-have for bakeries. It is a core operational metric. And most forecasting tools were not built to deliver it because they were designed for concepts where stockouts are exceptions, not brand-defining events.
Corporate Visibility vs. Franchisee Flexibility
Bakery franchises operate with a particular tension between corporate standards and franchisee execution. Corporate sets the menu, defines production standards, and determines pack sizes. Franchisees execute, adjust, and deal with the local realities of foot traffic, staffing, and neighborhood demand.
This means the forecasting system has to serve two masters. At the franchisee level, it has to be specific and actionable: here is what to produce, in what increments, for each day this week. At the corporate level, it has to aggregate performance across the entire system: which locations are hitting their production targets, which are experiencing chronic stockouts, and which are overproducing.
The corporate view also extends beyond the cafe level. Manufacturing plants that supply raw and par-baked ingredients to franchisees need their own demand signal, often six months or more into the future. They are not forecasting croissant sales. They are forecasting base dough volume, which aggregates demand across dozens of finished SKUs.
This layered forecasting requirement, from individual cafe to franchisee rollup to manufacturing planning, is not something that can be bolted onto a standard restaurant tool. It has to be designed into the system from the beginning.
Comparing Solutions Is Harder Than It Looks
Bakery franchise operators evaluating forecasting technology quickly discover that most vendors approach the problem the same way: start with total sales, apply a standard product mix, and generate a forecast. This top-down approach works reasonably well for restaurants with stable menus and consistent item-level demand.
It works poorly for bakeries. The product mix in a bakery shifts seasonally, with LTOs rotating in and out throughout the year. Holiday periods create demand spikes that do not follow weekly patterns. And the relationship between total sales and individual item demand is not linear because a customer who buys a $5 coffee and a $4 croissant behaves differently from a customer who buys a $28 cake for a birthday.
The alternative is a bottoms-up approach: forecast each individual item independently, accounting for its specific demand patterns, seasonality, and sensitivity to external factors. Then roll those forecasts up into production plans that respect the operational constraints of the bakery, including production increments, oven capacity, and shared base ingredients.
This is harder to build. It is also the only approach that consistently delivers accuracy in a bakery environment.
Bakery Operations Deserve Bakery-Specific Tools
The restaurant technology ecosystem has spent years optimizing for the standard quick-service and fast-casual model. That is understandable. Those segments represent the majority of units. But bakery franchises are a distinct operational category with distinct forecasting needs, and they deserve tools that are designed for how they actually produce, not tools that were designed for burger joints and then stretched to fit.
Running a bakery franchise and tired of adjusting forecasts by hand? Let’s Talk
