Why forecasting matters for a shop or café
If you knew next Thursday would be much busier than usual, you would add a person to the evening shift and order more of your bestsellers. If you knew Sunday would be slow, you would not overstock fresh items.
Forecasting is not about predicting the future perfectly. It is about being less surprised, so you spend less on waste and lose fewer sales to empty shelves and short shifts.
What a useful forecast includes
The point of a forecast is the decision it supports. A forecast you only look at after the week has passed is a report, not a plan, so make it part of how you set next week's rota and orders.
- Visitors expected by day and hour, not only sales.
- Sales expected by day, built from visitors, conversion and average ticket.
- A range, not one exact number, because no forecast is certain.
- Known events: paydays, Ramadan, school holidays, national days, nearby events and your own campaigns.
A simple way to forecast, even by hand
Start with the same weekday over the last several weeks. Take the average, then adjust for anything you know is different next week, such as a payday weekend or a campaign. Compare the forecast with what really happened, and adjust your method.
Forecasting from visitors is more stable than forecasting from sales alone, because it separates how many people will come from how many will buy. Read more on sales analysis.
ExampleYour last four Thursdays brought 410, 380, 430 and 400 visitors, an average of 405. Next Thursday is the end-of-month payday, which usually brings extra traffic for you, so you plan for around 450 and staff for it.
Common forecasting mistakes
- Copying last week as-is, including one-off events that will not repeat.
- Forgetting the Hijri calendar, so Ramadan and Eid shifts catch you off guard.
- Forecasting monthly totals when your decisions are daily and hourly.
- Never checking forecasts against actual results, so they never improve.
- Ignoring weather and local events, such as a concert or a match nearby, that change traffic for one evening.
- Treating the forecast as a target for staff, which mixes planning with pressure.
How Tapsiera forecasts your week
Tapsiera learns from your own visitor counts and sales, for each branch, and forecasts the coming days and week. It then turns the forecast into actions: add a staff member on these hours, expect a slow afternoon, prepare for a busy weekend.
When reality starts to drift from the forecast, you get an alert, so you can react the same day. Forecasts feed directly into staff scheduling and your branch reports.
ExampleTapsiera forecasts next Friday at around 520 visitors, higher than a normal Friday, and suggests one extra person from 7 to 11 pm. Covering that peak could bring back around 700 SAR.
Who needs sales forecasting
Restaurants and cafés with fresh stock, retail shops planning orders, and anyone running more than one branch. If you have no POS, Tapsiera can still build forecasts from the daily sales you send on WhatsApp each night. You can try the demo with sample data at app.tapsiera.com.
Frequently asked questions
How much history does a forecast need?
More history gives better forecasts, but Tapsiera starts learning from your first weeks of visitor and sales data and improves as it goes.
Can it account for Ramadan and Eid?
Yes. Seasonal patterns in your own data, including Hijri calendar periods, are reflected in the forecast.
Will the forecast always be right?
No forecast is always right. It is a best estimate with a range, and its value is in helping you plan staff and stock before the week starts rather than reacting afterwards.
How much does Tapsiera cost?
199 SAR per branch per month, VAT included. The door sensor is 1,599 SAR one time per sensor with installation included, and you can reserve now for 99 SAR, which is deducted from your first payment.