Seasonality is what food businesses know best and quantify least. Looked at by category the picture proves more complicated than expected.
Which category peaks when?
Desserts around religious holidays.
Breakfast charcuterie at weekends and through the summer.
Bakery through the school year, tied to breakfast.
Ice cream and cold desserts in summer.
Canned and long-life products in winter; the table shows why one annual plan is not enough.
| Category | Peak | Trough | Ratio |
|---|---|---|---|
| Baklava and syruped dessert | Holidays, winter | Midsummer | 3-4x |
| Breakfast charcuterie | Summer, weekends | Winter weekdays | 2x |
| Simit and poğaça | School term | Summer holidays | 2-3x |
| Frozen chips | All year | Not marked | 1.3x |
| Canned product | Winter | Spring | 1.8x |
How large is the holiday effect?
Daily sales in desserts can quadruple.
That rise lasts three to five days.
A two-week preparation period precedes it.
A two-week trough follows.
Holidays compress a clear share of annual turnover into three weeks, and that intensity is the hardest part of capacity planning.
Which categories does the school calendar affect?
Morning sales of simit and poğaça.
Packaged snacks.
Individually portioned products.
Milk and dairy.
The summer holiday creates a marked trough in those four, and the start of term brings the sharpest single day of increase.
What changes over the summer?
Consumption of hot items falls.
Cold and light products rise.
Breakfast tables grow, under the effect of the holiday season.
Total demand multiplies in tourist regions.
The same product can trace opposite curves in two regions of one country, and centralised planning misses that.
How do regional differences get managed?
Tourist regions peak in summer.
Industrial regions follow the school calendar.
City centres run on weekday lunch density.
Coastal regions carry a very deep winter trough.
Those differences require separate plans by region, and planning from one national average produces errors in both.
How does the stock plan get built?
The same period last year forms the base.
A growth rate gets added.
The shift in the calendar gets accounted for, since holidays move each year.
Weather forecasts provide short-term correction.
Combining those four cuts forecasting error noticeably, and the fourth gets skipped most often.
Why does the calendar shift matter?
Religious holidays move eleven days earlier each year.
One year they fall in winter, another in summer.
The season they fall in changes the demand.
Last year's data cannot be used directly.
Without accounting for that shift, the holiday plan grows a little less accurate every year.
How does frozen product soften seasonality?
Stock can be built ahead of the peak.
Production capacity does not sit idle in the trough.
Pressure on lead times falls.
It carries no waste risk.
That flexibility is why the frozen format becomes the main solution in highly seasonal categories, and it keeps a producer working steadily all year.
What happens during the trough?
Maintenance and investment get scheduled into it.
Staff leave gets planned.
New product trials get run.
Stock for the peak gets built.
Businesses treating the trough as preparation rather than loss come through the peak more smoothly.
How does the supplier relationship work?
Orders for the peak get placed early.
The annual forecast gets shared with the supplier.
Capacity gets reserved.
An alternative supplier gets kept ready.
When a supplier's capacity runs out at the peak it is the product rather than the price that becomes unavailable, and that is the problem an unplanned business meets most often.
Where is this area heading?
Demand forecasting software is spreading.
Weather data is entering forecasts.
Separate planning by region is standardising.
The share of frozen stock is rising.
Seasonality is not expected to disappear in the long run; its management is expected to move from intuition to data.
How does pre-holiday stock in baklava get built?
Baked frozen baklava gets produced weeks before the holiday.
Its life in the freezer comfortably covers the date.
Only thawing happens during the holiday week.
Production capacity does not compress into three days.
Without that method neither production nor supply can meet demand in the holiday week, and the opportunity gets lost.
Why does the seasonal curve differ in fermented sucuk?
A fermented product carries a ripening period.
That period pulls the production plan forward.
In winter, breakfast and cooking consumption rise together.
In summer the breakfast share rises while the cooking share falls.
Total volume stays relatively even across the year; what changes is the manner of consumption, and that affects the choice of pack.
How does the school term show in bagged simit?
Order quantities double at the start of September.
They fall by the same proportion at the end of June.
A two-kilogram bag carries that wave.
Product waiting in the freezer produces no waste.
That sharp transition explains why the raw frozen format dominates the school channel.
How does forecast error get measured?
The gap between forecast and actual gets written as a percentage.
It gets kept separately by category.
A monthly average gets watched.
Where the deviation runs the same way consistently, the method gets corrected.
A business not measuring its error repeats it every year, and that measurement is the only feedback improving planning.
How does storage capacity limit the plan?
Peak stock requires space.
Freezer capacity is fixed.
Rented cold storage carries a cost.
The decision to build stock gets bounded by capacity.
A peak plan made without calculating capacity cannot be executed once there is nowhere to store the product, and that limit often gets noticed late.
