Analytics and Reports

Overview

The analytics section provides a complete picture of your venue's performance — from dish popularity to staff efficiency. All data is available in real time and can be exported to Excel/CSV.

Dashboard

The main analytics page displays key metrics:

• Revenue — total amount for the period (day/week/month)
• Number of orders — total count and trend
• Average check — average order amount
• Popular items — TOP 10 most ordered
• Menu views — how many times guests opened the QR menu

Sales Reports

General report

• Revenue by days, weeks, months
• Trend charts
• Comparison with previous periods
• Filtering by categories, items, order channels

Menu ABC analysis

Classification of items by profitability and popularity:

Profitability report (COGS)

• Cost of goods for each item
• Margin in % and absolute numbers
• Food cost by categories
• Optimization recommendations

Staff KPIs

Waiter metrics

• Number of tables served
• Average check per waiter
• Average service time
• Total tips received
• Number of upsells (additional sales)

Kitchen metrics

• Average order preparation time
• Number of orders processed
• Returns and complaints
• Hourly workload

Channel Report

Comparison of order channel effectiveness:

Menu Analytics

Item popularity

• TOP most viewed items
• TOP most ordered
• Items that are viewed but not ordered (possibly the price is too high)

Heatmap

• What categories are popular at what time of day
• Peak order hours
• Seasonal trends

Financial Reports

P&L (Profit and Loss)

• Revenue
• Cost of goods sold (COGS)
• Gross profit
• Operating expenses
• Net profit

Cash Flow

• Cash inflows by day
• Breakdown by payment methods
• Ending balances for the period

Data Export

All reports are available for download:

• Excel (.xlsx) — for analysis in Excel / Google Sheets
• CSV — for import into accounting systems
• PDF — for printing and reporting

Accounting Integration

Analytics data can be automatically transferred to:

• 1C (Russia)
• iiko (CIS)
• MoySklad (Russia)
• Other systems via API / Webhooks

Tips for Working with Analytics

1. Check the dashboard daily — spot trends and anomalies
2. Use ABC analysis once a month — update the menu based on data
3. Compare periods — to see growth or decline
4. Export to Excel — for detailed analysis and reporting
5. Track staff KPIs — for motivation and training

8. Inventory Management and Cost of Goods

Ingredient tracking

1. Inventory → Ingredients → add all products with purchase price
2. Link ingredients to menu items (recipe cards)
3. The system will automatically calculate the cost of each dish

Recipe card (recipe)

For each dish, specify:

• List of ingredients with exact weight (grams / ml)
• Processing loss percentage (shrinkage, boil-down)
• Finished dish yield

Food cost calculation

Stock control

• Auto write-off: when an order is closed, ingredients are written off automatically
• Low stock: push notification when the minimum is reached
• Stocktaking: reconcile actual stock with system stock
• Discrepancy report: actual/system deviations to control theft

Purchasing

• The system suggests a purchase list based on the sales forecast
• Auto-order from suppliers when minimum stock is reached
• Purchase history with prices to track inflation

9. Predictive Analytics

Sales forecast

Based on historical data, AI forecasts:

• Expected number of guests by day/hour
• Popular items for each day of the week
• Seasonal trends (summer/winter, holidays)

Recommendations

• Purchasing optimization: how many ingredients to buy for the week
• Staff scheduling: how many waiters are needed for each shift
• Pricing: which items can be increased in price without losing demand

10. Automated Reports

Mailing setup

1. Analytics → Report schedule
2. Choose: daily, weekly, monthly
3. Specify recipients (email)
4. Select report sections

Auto-report contents

• Revenue and average check
• TOP 10 items
• Comparison with the previous period
• Stop list for the period
• Staff KPIs