Restaurant Forecasting Software | 4 mins read

How to Predict Sales Using Restaurant Forecasting Software

how to predict sales using restaurant forecasting software
Chloe Henderson

By Chloe Henderson

Every restaurant experiences slow and busy seasons, making it challenging to maintain steady profits. Without a sales forecast, establishments can accidentally overstock ingredients and over schedule staff, resulting in excessive storage and labor costs.

With restaurant forecasting software, businesses can automatically generate projections to anticipate emerging customer demand and market trends.

Why Businesses Need to Conduct a Restaurant Sales Forecast

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Analyzing sales data is essential for making educated decisions. By referencing historical sales patterns, restaurants can develop sales forecasts to optimize staffing and inventory levels.

An accurate sales forecast enables restaurants to improve their-

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1. Inventory Projections

Since sales forecasts are based on historical trends from different timeframes, restaurants can use this information to determine how much inventory to keep on hand daily, weekly, or even monthly. When restaurants overstock raw materials, it runs the risk of expiring, wasting valuable capital. On the other hand, understocking inventory could result in shortages and lost sales.

Sales forecasts will disclose which days of the week generally draw more business so restaurants can increase stock in small increments. For example, if a diner finds they sell more shakes on Friday nights, they can increase inventory orders enough to match the expected surge.

2. Seasonal Success

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Once a restaurant has established itself and collected years of data, they can determine their slow and busy seasons. This information enables establishments to anticipate fluctuating demand from holidays, events, seasons, and weather conditions.

3. Staffing Needs

When sales increase, businesses need to adjust employee scheduling to adapt to the fluctuating demand. If a restaurant is overstaffed on a slow day, they can lose profits due to excessive labor wages. On the other hand, if they are understaffed on a busy day, restaurants may elongate wait times and lose potential sales.

By referencing sales forecasts, management can optimize staffing to avoid unnecessary labor costs and enhance customer service.

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Try it free for 14 days.

4. Profit Expectations

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Restaurants need to have a clear understanding of how much income they must generate to fulfill financial obligations and sustain profits. Otherwise, establishments may experience fluctuating revenue, making it difficult to attract investors and plan expansion projects.

With a sales forecast, restaurants can pinpoint their profit expectations, allowing management to make data-based decisions on pricing strategies. It also enables the finance department to create budgets for different projects and expansion efforts.

How to Perform a Sales Forecast

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Depending on a restaurant's capabilities, managers can create forecasts manually or with the help of management systems, such as point-of-sale (POS) and forecasting software. By integrating forecasting and POS systems, the software can automatically update forecasts with every transaction and customer interaction.

Regardless of a restaurant's preferred method, management can create a sales forecast by-

Calculating the Restaurant's Daily Capacity

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To start, restaurants need to determine their daily capacity by recording their typical business day.

For example, a restaurant has 10 tables that each seats five. On a busy day, the restaurant completely fills all tables three times each. This means that the restaurant serves 150 customers per day-

5 diners per table x 10 tables x 3 turns = 150 customers per day

Once the capacity has been calculated, managers must determine the average ticket price. If the average customer order is $15, then their sales forecast would be $2,250-

150 customers per day x $15 order value = $2,250
This same procedure should be performed for slow and average days to determine how much revenue is generated at half and quarter capacity. By referencing a restaurant's minimum and maximum daily income, owners can establish best and worst-case scenarios and weekly targets.

Using Sales Data to Create Forecasts

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There are many variables to consider when manually calculating sales forecasts, from average order value (AOV) to seasonal peaks. This makes it difficult to predict future outcomes with multiple specifications.

By integrating POS data with forecasting software, restaurants can generate the most accurate sales projections. With every transaction, financial report, payroll release, and manual input, the integrated forecasting system can compare POS metrics to detect trends and pinpoint variables. By eliminating manual calculations, restaurants can prevent human error, improving reporting accuracy and timeliness.

Forecasting solutions continually update their algorithms with real-time data to improve its reporting. Some even provide further insights into revenue generated by each menu item per hour, day, or week. This enables management to forecast sales for specific times of the year without manual intervention.

By determining the day of the week and year each dish reaches peak sales, restaurants can optimize their marketing schemes, pricing strategies, inventory control, and staffing to generate more income.

With an integrated forecasting system, restaurants can also anticipate demand fluctuations resulting from external causes, such as events or inclement weather. Modern forecasting solutions can take local weather predictions into consideration to adjust expected foot traffic levels.

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