See trends of when customers visit your store.

Use this for: Staffing decisions and production timing

Shows:

• Hourly patterns
• Weekly trends
• Customer's in and out counts
• When is the best conversion rates

View data on ingredient costs.

Use this for: Menu pricing, identifying expensive items, and spotting cost increases

Important terms:

• Cost of Goods (COGS): What you paid for ingredients
• Profit Margin: Profit after food costs
• Margin Percentage: Profit ÷ Sales Price × 100

Shows:

• Total cost of goods (COGS)
• Profit/loss by product
• Margin percentage
• Most profitable items
• Most wasted items

See how different parts of the day perform.

Use this for: Focusing marketing, adjusting hours, and optimizing prep schedules

Shows:

• Sales by time period
• Traffic by time period

Dayparts:

• Breakfast: 5 – 9 AM
• Morning Snack: 9 – 11 AM
• Lunch: 11 AM – 2 PM
• Afternoon Snack: 2 – 4 PM
• Dinner: 4 – 7 PM
• Evening Snack: 7 – 10 PM
• Late Night: 10 PM – 5 AM

Enter the dates of a promotional event, along with a time period before and after, to learn how the promotion affected traffic and profitability. 

Use this for: Viewing impacts of promotions

Shows:

• Sales and profitability in the event timeframe
• Traffic in the event timeframe
• Comparison of metrics before and after the event

See an overview of product sales and profit margins.

Use this for: Reducing costs, viewing profit margins

Shows:

• Comparison of items made, wasted, and sold
• Product sales rankings
• Profit margins

View data quality issues that need attention.

Use this for: Ensuring accurate reports, fixing data entry problems, training staff on proper logging

Shows:

• Missing ingredient costs
• Missing prices
• Impossible numbers (i.e. more waste than you made)
• Gaps in your data

Check in on your traffic counters and view the accuracy of traffic records.

Use this for: Checking traffic counter status, identifying traffic record issues

Shows:

• Traffic data quality
• Traffic counter battery levels
• Devices offline
• Records summary

Overview of performance across all locations. 

Use this for: Comparing stores, identifying problem locations, setting benchmarks

Shows:

• Total stores and actives stores
• Chain-wide sales and waste
• Average performance metrics
• Top and bottom performing stores

See how stores stack up against each other.

Use this for: Fair comparisons, identifying stores to learn from and which need help

Shows:

• Average profit metrics across all stores
• Store rankings

Shows alerts chain wide for waste, traffic, and sell-through based on thresholds set in settings.

Use this for: Easily viewing areas that need your attention

Shows:

• Items with high percentage wasted
• Decreases in traffic
• Items with low sell-through

Rank products on a chain level.

Use this for: Adjusting prep quantities, reviewing low performing products

Shows:

• Top products
• Low performing products

See how different parts of the day perform at a chain level.

Use this for: Focusing marketing, adjusting hours, and optimizing prep schedules

Shows:

• Chain and store daypart profitability
• Chain and store daypart traffic

The sell-through rate is the percentage of food made that gets sold.

Use this for: Waste reduction, optimizing product planning, 

Shows:

• Sell-through metrics
• Sell-through ranking by product
• Category sell-through

Sell-through benchmarks:

• 90%+ = Excellent
• 80–90% = Good
• 70–80% = Needs improvement
• Below 70% = Problem

View product specific sales metrics. how many of an item was sold, the total revenue it has generated, and what the average price is of a specific item in a store

Use this for: Quickly viewing item performance, comparing products

Shows:

• Amount of the item sold
• Total revenue from the item
• Average price of item
• Sales trends
• Product sales rankings

See which stores are using their RightBytes modules.

Use this for: Coach staff, reward compliance, understand resistance

Shows:

• Compliance rate by store
• Data quality
• RightBytes usage

Analyzes production vs sales patterns to identify over or under production.

Use this for: Optimizing prep schedules, reducing waste, identifying products with unstable demand

Shows:

• Alignment status
• Recommended actions
• Missed opportunity
• Demand volatility indicators

Alignment Statuses:

• Aligned: Product matches demand
• Over-producing: Making more than selling, causing waste
• Under-producing: Selling out, missing revenue
• Volatile demand: Unpredictable sales, harder to plan

View metrics and charts for an individual product.

Use this for: Learning about a product, improving prep schedules and quantities

Shows:

• Sales patterns
• Product metrics

Learn how your business is doing compared to the pervious year.

Use this for: Setting realistic goals, understanding growth and seasonal patterns

Shows:

• Sales growth
• Customer count changes
• Waste trends
• Unit volume changes

Visualize the most profitable times of day.

Use this for: Optimizing prep schedules

Reading the profitability heat map:

• Darker green: Very high profit periods
• Lighter green: High profit periods
• Lighter red: Low or negative profit periods
• Darker red: Very low or negative profit periods

Shows:

• Most profitable times of day
• Top products every hour

Find opportunities to reduce waste.

Use this for: Prioritizing waste reduction efforts

Shows:

• Items with highest waste cost
• Waste percentage by product
• Hours/days when waste is worst
• Potential savings (if waste is cut in half)

Track performance of newly launched items.

Use this for: Quickly seeing how new products are performing

Shows:

• How well new products are performing
• Weekly sales trends by product

See how labor costs line up with store performance.

Use this for: Adjusting staffing levels

Shows:

• Individual employee productivity
• Hourly labor efficiency
• Most efficient prep zones