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

Menu engineering#

A dedicated tab in menu statistics lays dishes out on the Kasavana & Smith matrix (stars, plowhorses, puzzles, dogs) and gives a recommendation for each: keep it featured, raise the price, move it up the menu, or take it off. The same tab shows margin by channel with aggregator commissions taken into account.

Details — Menu engineering.

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. Demand forecast#

The forecast lives in Inventory, on the "Forecast" tab, and is computed from sales history with no AI at all — from two explainable statistics: the median sales of a dish on this weekday over 8 weeks, and how that demand is spread across dayparts.

What comes out of it:

• a prep plan for the shift — with recipes exploded (including nested semi-finished items) and a "be ready by" hour;
• a supplier order draft for a chosen coverage horizon;
• a "runs out around 19:00" risk corrected for today's pace.

Details, including the limits, — Demand forecast.

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