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  1. APPS
  2. Point Of Sale
  3. POS Order Report by Hourly-Weekly v 19.0
  4. Sales Conditions FAQ

POS Order Report by Hourly-Weekly

by Oakland OdooERP https://www.oaklandmena.com
Odoo

$ 90.00

In-App Purchases
v 19.0 Third Party
Apps purchases are linked to your Odoo account, please sign in or sign up first.
Availability
Odoo Online
Odoo.sh
On Premise
Odoo Apps Dependencies • Point of Sale (point_of_sale)
• Restaurant (pos_restaurant)
• Discuss (mail)
• Inventory (stock)
• Invoicing (account)
Lines of code 85
Technical Name oe_pos_report_by_hourly_weekly
LicenseLGPL-3
Websitehttps://www.oaklandmena.com
Versions 16.0 17.0 18.0 19.0
You bought this module and need support? Click here!
Availability
Odoo Online
Odoo.sh
On Premise
Odoo Apps Dependencies • Point of Sale (point_of_sale)
• Restaurant (pos_restaurant)
• Discuss (mail)
• Inventory (stock)
• Invoicing (account)
Lines of code 85
Technical Name oe_pos_report_by_hourly_weekly
LicenseLGPL-3
Websitehttps://www.oaklandmena.com
Versions 16.0 17.0 18.0 19.0

  • Key Features
  • Screenshots
  • User Guide
  • FAQs
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User Guide for POS Weekly and Hourly Reports Module

This guide explains how to access and use the POS Weekly and Hourly Reports within your Odoo instance.


1. Accessing the Report

To view your POS reports, simply navigate to the main Odoo menu and click on the "POS Order Report Pivot and Graph" menu item. This will open the default pivot table view for your sales data.


2. Analyzing with the Pivot Table

The pivot table is ideal for detailed data exploration and is the default view for the report.

  1. Group Data: Use the drag-and-drop functionality to move fields from the list on the left into the "Rows" or "Columns" sections at the top of the table. For example, drag `Week of Year` to rows and `Hour` to columns to see a sales breakdown by week and hour.
  2. View Metrics: The pivot table automatically calculates aggregated values for key metrics. The available measures include `Total Price`, `Number of Orders`, and `Number of Units`.
  3. Drill Down: You can click on any row or column header to expand and view more detailed information.

3. Analyzing with the Graph View

The graph view provides a quick visual overview of your sales data, making it easy to identify trends.

  1. Switch Views: Click the graph icon (a small bar chart) in the top right corner of the report view to switch from the pivot table to the graph.
  2. Change Graph Type: You can choose from various graph types by clicking the icons for "Bar Chart," "Line Chart," or "Pie Chart."
  3. Customize the Graph: Select a field for the horizontal axis (e.g., `Hour`) and the vertical axis (e.g., `Total Price`) to create custom visualizations.

Frequently Asked Questions

1. What is the main purpose of this module?
This module provides powerful reporting and analysis tools for your Point of Sale (POS) data, allowing you to visualize sales trends on both a weekly and hourly basis.
2. How do I access the reports?
You can access the reports directly from a dedicated menu item in Odoo. Look for "POS Order Report Pivot and Graph" in your main menu.
3. What kind of reports can I generate?
The module supports two main report types: Pivot Table, for detailed, customizable data analysis and aggregation, and Graph, for a visual representation of your data using bar, line, or pie charts.
4. Can I customize the reports?
Yes. In both the pivot and graph views, you can drag and drop fields to change how the data is grouped, filtered, and displayed. This allows you to create custom views like "Total Sales by Hour" or "Number of Units Sold by Week."
5. What specific data fields are available in the reports?
The reports include a variety of fields for analysis, such as: `Date`, `Week of Year`, `Hour`, `Total Price`, `Number of Orders`, `Number of Units`, `Product`, `Category`, and `Company`.
6. How can I identify my busiest sales periods?
You can use the graph view and plot `Total Price` or `Number of Orders` against the `Hour` field. The resulting chart will clearly show you the peak hours of the day.
7. Can I filter the data for a specific period?
Yes. While the reports are designed for weekly and hourly analysis, you can use the standard Odoo filters to narrow down the data to a specific date range, product, or any other field.
8. Is this module compatible with all versions of Odoo?
The provided files are typical of Odoo development, but compatibility with specific Odoo versions would depend on the module's manifest file and dependencies, which were not provided.
Module Support & SLA
For any support related to this Odoo module, please contact us at apps@odooerp.ae
Our standard response time (SLA) for support queries is between 12 to 48 hours.
+971 54 289 8664 Email Us Watch Video Tutorial

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