Daily Forecasting & Adjustments: New Features Guide

Ameego excels at calculating weekly forecasts based on historical sales data. However, we understand that single-day forecasts may require more granular, day-specific adjustments.

This guide will focus on making advanced forecast adjustments to a single day using the latest features.

 New Features in Daily Forecast Adjustments

The 'Edit forecast' menu on the left now includes five powerful new options for adjusting a single day's forecast:

• Previous Date (Actuals)
• Previous Date (Projections)
• +/- Percent
• +/- Value (Distributed)
• +/- Value (Per Interval)
• Set Distributed Value
• Value Per Interval

These methods allow you to import historical sales/forecasts or make precise, value-based modifications.

1. Importing Sales Data from a Previous Day

You can now import either the Actual Sales from a past day (if POS syncing is enabled) or the Projections/Forecast from a past day.

A. Previous Date (Actuals)

This is excellent for basing a holiday or special event forecast on the actual sales from that same day in a previous period (e.g., last New Year's Eve). This feature is best utilized when you need to base your current day's forecast on confirmed, historical sales data from a major past event. For example, it is the ideal tool for building this year's forecast for a specific holiday (like New Year's Eve or Mother's Day) using the actual, successful sales numbers from that same day in a previous year.

How to Use:

Navigate to the 'Scheduling' tab and select the desired week.

1. Click on the day you wish to adjust.
2. In the 'Edit forecast' menu, select Previous Date (Actuals).
3. In the center panel, click the calendar icon to select the exact date you want to import sales data from (e.g., Dec 9, 2025, with Net Sales of $4,900).
4. In the 'Apply to' dropdown, we suggest selecting All Sales Metrics.
5. Click Apply.
   
    

B. Previous Date (Projections)

Use Previous Date (Projections) when you want to reuse a complex, manually crafted forecast structure that you built for a specific day type in the past. This is useful for importing and applying a detailed, non-POS-synced forecast that precisely captured the flow of business on a similar occasion.




How to Use:

1. Navigate to the 'Scheduling' tab and select the desired week.
2. Click on the day you wish to adjust.
3. In the 'Edit forecast' menu, select Previous Date (Projections).
4. In the center panel, click the calendar icon to select the date whose forecast you want to import (e.g., Dec 9, 2025, with Net Sales of $4,193).
5. Select your desired metrics from the 'Apply to' dropdown.
6. Click Apply.
    

2. Adjusting Forecasts by Percentage

The +/- Percent adjustment scales the peaks and valleys of your existing forecast by a uniform percentage, preserving the daily flow of business. The +/- Percent adjustment is the recommended method when working with a forecast derived from synced POS data. It maintains the natural rhythm of your business (peaks and valleys) while scaling the entire forecast up or down uniformly. Use this for slight adjustments due to minor factors like expected weather changes, small local events, or targeted marketing promotions.

 

How to Use:

1. Click on the day you want to adjust.
2. In the 'Edit forecast' menu, select +/- Percent. 3. Enter the percentage in the % field. Use a positive number (e.g., 10) to increase or a negative number (e.g., -5) to decrease.
3. Optionally, specify a Time period to apply the percentage to only a portion of the day (e.g., from 12:00am to 1:15am).
4. Review the (new!) values in the display table (e.g., Net Sales change from $89 to $97 for the specified interval).
5. Click Apply.

How it works:

• You specify a percentage change (e.g., +10% or -5%)
• The system multiplies all forecast values in your selected time range by that percentage
• Works on top of an imported forecast baseline
• Can be applied to specific time periods or the entire day

Best for:

• Quick adjustments based on expected changes
• Scaling forecasts up or down proportionally
• Example: "We expect 20% more sales during the holiday season"

Example:
If your forecast shows $100 per hour and you apply +15%, it becomes $115 per hour.

3. Adjusting Forecasts by Value (Amount)

Ameego now offers two ways to adjust a forecast by a specific dollar amount or guest count: Distributed or Per Interval.

A. +/- Value (Distributed)

This feature is essential when you know the total expected revenue or guests from a definite source, such as a large catering order, an internal private party, or a fixed large-group reservation. You enter the total amount, and the system efficiently spreads that total value evenly across the specified time frame of the event.

How to Use:

1. Click on the day you want to adjust.
2. In the 'Edit forecast' menu, select +/- Value (Distributed).
3. Enter the total amount you wish to add (or subtract) in the Amount field.
4. Specify the Time period over which this amount should be equally distributed (e.g., 12:00am to 12:00am for the entire day).
5. You can also adjust the amounts for specific metrics like Net Sales, Total Guests, New Checks, or New Guests in the table below.
6. Click Apply.

How it works:

• You specify a total amount to add (e.g., $500)
• The system divides this amount equally across all 15-minute intervals in your selected time range
• Each interval receives an equal portion of the total amount
• Works on top of an imported forecast baseline

Best for:

• Adding a known total increase that should be spread evenly throughout the day
• Adjusting forecasts when you know the total impact but not the specific timing
• Example: "We're running a promotion that will add $500 in sales, spread evenly throughout lunch hours"

Example:
If you add $300 to a 3-hour period (12 intervals of 15 minutes), each interval gets $25 added to its forecast.

 

B. +/- Value (Per Interval)

Use +/- Value (Per Interval) when you need to add a fixed, consistent baseline amount to every single 15-minute interval during a specified time. This is perfect for establishing a baseline minimum sales floor during typically slow periods, or to account for a consistent, recurring charge that happens hourly or per interval (e.g., a fixed venue rental fee that contributes to "sales").




How to Use:

1. Click on the day you want to adjust.
2. In the 'Edit forecast' menu, select +/- Value (Per Interval).
3. Enter the amount that should be added to each 15-minute interval in the Amount field.
4. Specify the Time period for the adjustment (e.g., 12:00am to 1:15am).
5. Review the new forecast display. Notice how the base amount you entered is reflected in the (new!) values for each 15-minute segment within that time.
6. Click Apply.

How it works:

• You specify an amount to add per interval
• The system adds this exact amount to every matching interval in your time range
• Intervals can be set to 15, 30, or 60 minutes
• Works on top of an imported forecast baseline

Best for:

• When you know the exact impact per time period
• Consistent, predictable increases at regular intervals
• Example: "Every hour during happy hour, we expect an additional $50 in sales"

Example:
If you set $20 per 30-minute interval for a 2-hour period, each 30-minute interval gets $20 added (total of $80 across 4 intervals).

 

6. Set Distributed Value

This feature is used when you want to set a specific total target for a period of time, completely overriding any existing forecast data for that window. Instead of adding to what is already there, this "sets" the new total and distributes it evenly.

Best Use Case: You have a "Buyout" or a "Fixed-Price Buffet" event where you know exactly how much revenue will be generated (e.g., $5,000) over a 4-hour window, regardless of what your historical "peaks and valleys" usually look like.

How to use it:

• Select 'Set Distributed Value' from the Edit Forecast menu.
• Enter the total amount you want to achieve for the period.
• Set the Time period for the event.
• Ameego will clear the existing forecast for those hours and replace it with your new total, divided equally into 15-minute increments.

How it works:

• Works directly on your existing forecast (not an imported baseline)
• You specify a total amount to add
• The system divides this amount equally across all 15-minute intervals in your selected time range
• Each interval receives an equal portion of the total amount

Example:
If your current forecast totals $1,000 and you add $200 distributed over 2 hours (8 intervals), each interval gets $25 added.

 

7. Value Per Interval

This is the most granular manual adjustment tool. It allows you to set a specific, identical value for every single 15-minute block in your chosen time range, overriding the previous forecast for each of those blocks.

Best Use Case: Use this for "Flat-Line" forecasting. For example, if you are opening a patio and expect exactly 10 guests to arrive every 15 minutes for the first two hours of service, this tool allows you to set that specific "10" for every interval instantly.

How to use it:

• Select 'Value Per Interval'.
• Enter the exact value you want to see in each 15-minute slot (e.g., entering 25 will set every interval to exactly $25).
• Specify the Time period.
• Check the (new!) column in the table to see how every interval has been overridden with your chosen number.

How it works:

• Works directly on your existing forecast (not an imported baseline)
• You specify an amount to add per interval
• The system adds this exact amount to every matching interval in your time range
• Intervals can be set to 15, 30, or 60 minutes

Example:
If you set $10 per 15-minute interval for a 1-hour period, each interval gets $10 added (total of $40 across 4 intervals).