Sales

Categories Sales

Displays sales grouped by categories. How much is being sold from each category, in terms of sales amount and quantity.

Filters

  • Date: The date range to be covered in the report.

  • Branches: The branches in which the report will be generated for.

  • Agent: The web user who created the order, used for filtering online orders.

  • Cashier: The app user of type cashier who closed the order.

  • Waiter: The app user of type waiter who created the order.

  • Device: The device name in which the orders were closed on.

  • Tag: The order tags that were assigned to orders for grouping purposes.

  • Order Type: The type of the order (dine in, takeaway, pick up, delivery and drive through)

  • Modifiers: Choose the option of including modifiers sales or excluding them.

  • Type: Choose the option of displaying all parent and sub categories or only parent categories.

Columns

Clicking any of the column names will rearrange the results in ascending\descending order.

  • Sku: Category`s sku if no sku is assigned it will appear empty.

  • Name: Category`s name.

  • Count: The number of products sold within each category.

  • Sales: The accumulative amount of all the product prices sold within this category. Sales is calculated from the prices entered in the dashboard, it`s calculated before applying taxes, all types of discounts, timed events and coupons.

  • Sales Percentage: Calculates the percentage of sales for all categories based on total sales. Its calculated by dividing a category`s sales by total categories sales * 100.

  • Cost: The accumulative amount of all the product costs sold within this category. Its calculated based on the cost type and amount registered in the dashboard.

  • Profit: The result of subtracting a category`s sales from its cost.

  • Average: The average sales of the category. It`s calculated by dividing category sales by its count.

  • Net Sales: Equals to sales after subtracting returns.

  • Net Count: Equals to count after subtracting returns.

Products Sales

Displays sales grouped by products. How much is being sold from each product, in terms of sales amount and quantity.

Filters

  • Date: The date range to be covered in the report.

  • Branches: The branches in which the report will be generated for.

  • Agent: The web user who created the order, used for filtering online orders.

  • Cashier: The app user of type cashier who closed the order.

  • Waiter: The app user of type waiter who created the order.

  • Device: The device name in which the orders were closed on.

  • Tag: The order tags that were assigned to orders for grouping purposes.

  • Order Type: The type of the order (dine in, takeaway, pick up, delivery and drive through)

  • Modifiers: Choose the option of including modifiers sales or exclude them.

  • Included In Combo:

    • All: Include products that are a part of a combo meal with products that aren`t

    • Yes: Shows only products that are a part of a combo meal.

    • No: Don`t show\include the products that are a part of a combo meal.

Columns

Clicking any of the column names will rearrange the results in ascending\descending order.

  • Sku: Product`s sku if no sku is assigned it will appear empty.

  • Name: The product`s name.

  • Sales: The accumulative amount of all the product prices sold from this particular product. Sales is calculated from the prices entered in the dashboard, it`s calculated before applying taxes, all types of discounts, timed events and coupons.

  • Count: The number of products sold from each product group.

  • Cost: The accumulative amount of all product costs. Its calculated based on the cost type and amount registered in the dashboard.

  • Profit: The result of subtracting a product`s sales from its cost.

  • Average: The average sales of the product. It`s calculated by dividing product sales by its count.

  • Net Sales: Equals to sales after subtracting returns.

  • Net Count: Equals to count after subtracting returns.

Products Sizes Sales

Displays sales grouped by product sizes. How much is being sold from each product size, in terms of sales amount and quantity.

Filters

  • Date: The date range to be covered in the report.

  • Branches: The branches in which the report will be generated for.

  • Device: The device name in which the orders were closed on.

  • Agent: The web user who created the order, used for filtering online orders.

  • Cashier: The app user of type cashier who closed the order.

  • Waiter: The app user of type waiter who created the order.

  • Tag: The order tags that were assigned to orders for grouping purposes.

  • Order Type: The type of the order (dine in, takeaway, pick up, delivery and drive through)

  • Included In Combo:

  • All: Include products that are a part of a combo meal with products that aren`t.

  • Yes: Shows only products that are a part of a combo meal.

  • No: Don`t show\include the products that are a part of a combo meal.

Columns

Clicking any of the column names will rearrange the results in ascending\descending order.

  • Sku: Product size sku if no sku is assigned it will appear empty.

  • Product: The product`s name.

  • Size The product size`s name.

  • Sales: The accumulative amount of all the product size prices sold from this particular product size. Sales is calculated from the prices entered in the dashboard, it`s calculated before applying taxes, all types of discounts, timed events and coupons.

  • Count: The number of product sizes sold from each product group.

  • Cost: The accumulative amount of all product size costs. Its calculated based on the cost type and amount registered in the dashboard.

  • Profit: The result of subtracting a product size`s sales from its cost.

  • Average: The average sales of the product size. It`s calculated by dividing product size sales by its count.

  • Net Sales: Equals to sales after subtracting returns.

  • Net Count: Equals to count after subtracting returns.

Combos Sales

Shows combo meals sales divided based on their size. How much is being sold from each combo item, in terms of sales amount and quantity.

Filters

  • Date: The date range to be covered in the report.

  • Branches: The branches in which the report will be generated for.

  • Agent: The web user who created the order, used for filtering online orders.

  • Cashier: The app user of type cashier who closed the order.

  • Waiter: The app user of type waiter who created the order.

  • Device: The device name in which the orders were closed on.

  • Tag: The order tags that were assigned to orders for grouping purposes.

  • Order Type: The type of the order (dine in, takeaway, pick up, delivery and drive through)

Columns

Clicking any of the column names will rearrange the results in ascending\descending order.

  • Sku: Combo meal sku if no sku is assigned it will appear empty.

  • Product: The combo meal`s name.

  • Size: The combo meal size`s name.

  • Sales: The accumulative amount of all the combo meal prices sold from this particular combo meal size. Sales is calculated from the prices entered in the dashboard, it`s calculated before applying taxes, all types of discounts, timed events and coupons.

  • Count: The number of combo meals sold from each size.

  • Average: The average sales of the combo meal size. It`s calculated by dividing product size sales by its count.

  • Net Sales: Equals to sales after subtracting returns.

  • Net Count: Equals to count after subtracting returns.

Products Sizes by Order Type Sales

Displays sales segmented by product size and order type. How much is being sold from each product size for each order type, in terms of sales amount and quantity.

Filters

  • Date: The date range to be covered in the report.

  • Branches: The branches in which the report will be generated for.

  • Agent: The web user who created the order, used for filtering online orders.

  • Cashier: The app user of type cashier who closed the order.

  • Waiter: The app user of type waiter who created the order.

  • Device: The device name in which the orders were closed on.

  • Tag:: The order tags that were assigned to orders, for grouping purposes.

Columns

  • Product Sku: Product sku if no sku is assigned it will appear empty.

  • Size Sku: Product size sku if no sku is assigned it will appear empty.

  • Product: Product name.

  • Size: Product size name.

  • Type: Order type.

  • Sales: The accumulative amount of all the product size prices sold at this order type. Sales is calculated from the prices entered in the dashboard, it`s calculated before applying taxes, all types of discounts, timed events and coupons.

  • Count: The number of product sizes sold using the corresponding order type.

  • Cost: The accumulative amount of all product size costs. Its calculated based on the cost type and amount registered in the dashboard.

  • Profit: The result of subtracting a product size`s sales from its cost.

  • Average: The average sales of the product size. It`s calculated by dividing product size sales by its count.

  • Net Sales: Equals to sales after subtracting returns.

  • Net Count: Equals to count after subtracting returns.

Modifiers Sales

Shows the sales of each modifier option. How much is being sold from each modifier option, in terms of sales amount and quantity.

Filters

  • Date: The date range to be covered in the report.

  • Branches: The branches in which the report will be generated for.

  • Agent: The web user who created the order, used for filtering online orders.

  • Cashier: The app user of type cashier who closed the order.

  • Waiter: The app user of type waiter who created the order.

  • Device: The device name in which the orders were closed on.

  • Tag: The order tags that were assigned to orders, for grouping purposes.

Columns

  • Modifier Sku: Modifier sku if no sku is assigned it will appear blank.

  • Option Sku: Modifier option sku if no sku is assigned it will appear blank.

  • Modifier: Modifier name.

  • Option: Modifier option`s name.

  • Count: The number of modifier options sold.

  • Sales: The accumulative amount of all the modifier options prices sold. Sales is calculated from the prices entered in the dashboard, it`s calculated before applying taxes, all types of discounts, timed events and coupons.

  • Average: The average sales of the modifier option. It`s calculated by dividing the modifier option`s sales by its count.

  • Cost: The accumulative amount of all the modifier option`s costs. Its calculated based on the cost type and amount registered in the dashboard multiplied by the count.

  • Profit: The result of subtracting a modifier option`s sales from its cost.

  • Net Sales: Equals to sales after subtracting returns.

  • Net Count: Equals to count after subtracting returns.

Products Modifiers Sales

Shows the sales of modifier options segmented by products. How much is being sold from each modifier options for each product in terms of sales amount and quantity.

Filters

  • Date: The date range to be covered in the report.

  • Branches: The branches in which the report will be generated for.

Columns

  • Product: The product name.

  • Size: The product size`s name.

  • Modifier: The modifier name.

  • Option: The modifier option`s name.

  • Count: The number of modifier options sold.

  • Amount: The accumulative amount of all the modifier options prices sold. Sales is calculated from the prices entered in the dashboard, it`s calculated before applying taxes, all types of discounts, timed events and coupons.

Products Timely Sales

Used to display product sales\net sales\count divided on a daily\hourly basis. How much is being sold from each product per time unit in terms of sales\net sales count.

Filters

  • Date: The date range to be covered in the report.

  • Branches: The branches in which the report will be generated for.

  • Time Unit: Select the time unit in which you want the report to be displayed with, either hourly or daily.

  • Type: Select the report type (Sales, Net Sales or Count).

  • Agent: The web user who created the order, used for filtering online orders.

  • Cashier: The app user of type cashier who closed the order.

  • Waiter: The app user of type waiter who created the order.

  • Modifiers: Select whether you want to include the modifiers sales into the report or not.

Columns

  • Time unit: Day\Hour. Lists the days\hours of the date range selected.

  • Product Names: Each product name takes a column in which all sales regarding this product will be listed below.

  • Sku: Product`s sku if no sku is assigned it will appear empty.

  • Category:: The product`s category name.

  • Total: The summation of all sales concerning this product.

  • Percentage: The product`s percentage of sales out of the total products sales. Its calculated by dividing the product`s sales by the total sales of all listed products.

  • Sales: The accumulative amount of all the product prices sold from this particular product. Sales is calculated from the prices entered in the dashboard, it`s calculated before applying taxes, all types of discounts, timed events and coupons.

  • Net Sales: Equals to sales after subtracting returns.

  • Count: The number of products sold.

Branches Sales

Displays total sales per branch. Shows data about sales, total taxes, total discounts and net income.

Filters

  • Date: The date range to be covered in the report.

  • Order Type: The type of the order (dine in, takeaway, pick up, delivery and drive through)

  • Tag: The order tags that were assigned to orders for grouping purposes.

Columns

  • Name: The Branch`s name.

  • Reference: The branch`s reference

  • Guests: The number of guests.

  • Sales: The accumulative amount of all order prices done at this particular branch. Sales is calculated from the prices entered in the dashboard, it`s calculated before applying taxes, all types of discounts, timed events and coupons.

  • Count: Represents number of closed orders at this branch.

  • Total Taxes: The tax amount corresponds to the sales amount. Tax is calculated based on the taxes assigned to the branches.

  • Total Discounts: The summation of all discount values made to the orders\products.

  • Net Income: The income value after subtracting returns.

Branches Timely Sales

Used to display branch Income\Net Income\Sales\Net Sales\Count\guests divided on a daily\hourly basis. How mush is being sold in each branch per time unit.

Filters

  • Date: The date range to be covered in the report.

  • Time Unit: Select the time unit in which you want the report to be displayed with, either hourly or daily

  • Type: The report type (Income, Net Income, Sales, Net Sales , Count and guests).

  • Order Type: The type of the order (dine in, takeaway, pick up, delivery and drive through)

Columns

  • Time Unit: Day\Hour. Lists the days\hours of the date range selected.

  • Branch Name: The branch name.

  • Total: The summation of all sales concerning this branch.

  • Percentage: The branch`s percentage of sales out of the total branches sales. Its calculated by dividing the branch`s sales by the total sales of all listed branches.

  • Sales: The accumulative amount of all the products\modifiers prices sold from this particular branch. Sales is calculated from the prices entered in the dashboard, it`s calculated before applying taxes, all types of discounts, timed events and coupons.

  • Net Sales: Equals to sales after subtracting returns.

  • Income: The summation of all payment methods.

  • Net Income: The income value after subtracting returns.

  • Guests: The number of persons who visited the branch.

Location Sales

Displays sales segmented by floors. How much is being sold at each floor, in terms of sales amount and quantity.

Filters

  • Date: The date range to be covered in the report.

Columns

  • Name: The Floor, the branch names and the branch reference number.

  • Guests: The number of persons who visited the floor. This is calculated based on the set persons option in the cashier.

  • Count: How many orders were assigned for that floor`s tables. This is calculated by summing up the number of orders assigned to tables that corresponds to this floor.

  • Sales: The accumulative amount of all the products\modifiers prices sold from this particular floor. Sales is calculated from the prices entered in the dashboard, it`s calculated before applying taxes, all types of discounts, timed events and coupons.

  • Average: The average sales at this particular floor. its calculated by dividing the sales amount by the count number.

Tables Sales

Shows sales segmented by tables. How much is being sold at each table in terms of sales amount and quantity.

Filters

  • Date: The date range to be covered in the report.

  • Branch: The branch in which the report will be generated for.

Columns

  • Name: The table`s name.

  • Location: The table`s assigned floor.

  • Count: The number of orders made at each table.

  • Sales: The accumulative amount of order prices closed at this table. Sales is calculated from the prices entered in the dashboard, it`s calculated before applying taxes, all types of discounts, timed events and coupons.

  • Average: The average sales per table. It`s calculated by dividing sales amount by the count number.

Agents Income

Shows the net income of each online agent.

Filters

  • Date: The date range to be covered in the report.

Columns

  • Name: The online agent`s name.

  • Net Income: The income value after subtracting returns. Its calculated by summing up all payment methods amounts then subtracting returns.

  • Count: The number of orders closed by each agent.

  • Average: The average net income for each agent. Its calculated by dividing net income amount by the count number.

Cashiers Income

Shows the net income for each app user of type cashier.

Filters

  • Date: The date range to be covered in the report.

  • Source: Where the order was created.

  • Order Type: The type of the order (dine in, takeaway, pick up, delivery and drive through)

Columns

  • Name: The cashier user`s name.

  • Count: The number of orders closed by each cashier.

  • Net Income: The income value after subtracting returns. Its calculated by summing up all payment methods amounts then subtracting returned items values.

  • Average: The average net income for each cashier. Its calculated by dividing net income amount by the count number.

Waiters Income

Shows the net income for each app user of type waiter.

Filters

  • Date: The date range to be covered in the report.

Columns

  • Name: The waiter user`s name.

  • Net Income: The income value after subtracting returns. Its calculated by summing up all payment methods amounts then subtracting returned items values.

  • Average: The average net income for each waiter. Its calculated by dividing net income amount by the count number.

Drivers Income

Shows the net income for each app user of type driver.

Filters

  • Date: The date range to be covered in the report.

  • Branch: The branch in which the report will be generated for.

Columns

  • Name: The driver`s name.

  • Count: The number of orders assigned to the driver.

  • Net Income: The income value after subtracting returns. Its calculated by summing up all payment methods amounts then subtracting returned items values.

  • Average: The average net income for each driver. Its calculated by dividing net income amount by the count number.

Customers Sales

Shows total sales for any selected customer.

Filters

  • Date: The date range to be covered in the report.

  • Customer: The customer`s country code and phone number.

Columns

  • Product: The Product`s name.

  • Count: The number of times the product has been ordered.

  • Sales: The accumulative amount of all products and modifiers prices ordered by this customer. Sales is calculated from the prices entered in the dashboard, it`s calculated before applying taxes, all types of discounts, timed events and coupons.

  • Average: The average sales for each product. Its calculated by dividing net sales amount by the count number.

Payment Methods

Shows total amount collected by each payment method as well as the return amount.

Filters

  • Date: The date range to be covered in the report.

  • Branch: The branch in which the report will be generated for.

  • Device: The device name in which the orders were closed on.

  • Tag: The order tags that were assigned to orders for grouping purposes.

Columns

  • Name: The payment method name.

  • Amount: The amount collected by each payment method.

  • Count: The number of times the payment method has been used.

Payment Timely Sales Methods

Used to display payment methods amount\count divided on a daily basis.

Filters

  • Date: The date range to be covered in the report.

  • Branch: The branch in which the report will be generated for.

  • Type: The report displays unit, amount or count.

Columns

  • Day: Lists the days included in the selected date range.

  • Payment method names: Each payment method will represent a column in which all collected amounts will be listed below. In case of returns Return (Method Name) will be displayed with all returned amounts listed below with a minus sign.

Order Types Sales

Used to display sales categorized by order types.

Filters

  • Date: The date range to be covered in the report.

  • Branch: The branch in which the report will be generated for.

  • Agent: The web user who created the order, used for filtering online orders.

  • Cashier: The app user of type cashier who closed the order.

  • Waiter: The app user of type waiter who created the order.

  • Device: The device name in which the orders were closed on.

  • Tag: The order tags that were assigned to orders for grouping purposes.

Columns

  • Type: A list of all used order types for the selected date range.

  • Count: The number of orders closed for each type.

  • Sales: The accumulative amount of all products and modifiers prices sold for each order type. Sales is calculated from the prices entered in the dashboard, it`s calculated before applying taxes, all types of discounts, timed events and coupons.

  • Average: The average sales for each order type. Its calculated by dividing net sales amount by the count number.

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