QSR Sales Forecasting
This demo is a scaled-down version of a real application using Taipy, which performs sales forecasting for a renowned quick-service restaurant (QSR) franchise. This business problem involves time series forecasting for several drivers (number of items sold, revenue, number of transactions, etc.) for different store sections (drive-thru, counter, café corner, etc.). High-quality sales forecasts are generated using powerful AI models and various data sources. This demo can easily be extended to reflect specific store requirements.
Taipy Enterprise edition
Taipy provides robust, business-focused applications tailored for enterprise environments. To maintain standards of security and customization, these applications are proprietary like this application. If you’re looking for solutions that are immediately deployable and customizable to your business needs, we invite you to try them out and contact us for more detailed information.
Understanding the Application¶
This application showcases various capabilities of Taipy, including:
- The use of Taipy Scenario management to handle the forecasting process -- encapsulating each forecast execution as a Scenario, persisting the parameters and results for future reference and evaluation.
- The use of Taipy GUI to easily create a multi-page application, featuring a navigation sidebar and a top panel for selecting a Scenario, where both panels are present and used on every page.
- Demonstrates a mini version of a real implemented system that uses Taipy to facilitate their sales forecasting.
Home Page¶
The landing page which the user is greeted with when the application is launched. The dropdown selector on the top panel allows the user to select a scenario to view -- more relevant for the later pages. This page also displays a table of already generated scenarios.
Create Page¶
The page for creating a new scenario. The user can select the scenario parameters, such as the store name, forecast start and end dates and other parameters which may be used by the forecasting algorithm. After the selections are made, the user can click the "Submit" button to submit the scenario for execution, during which a progress bar will indicate its progress.
Data and Forecast Page¶
The page for viewing the forecasts of the selected scenario, which is selected using the top panel. Includes a line chart comparing the actual and forecasted sales, and a histogram of residuals. The side panel is used to select the "Section" and "Indicator", which are the business areas that the forecasts are made for.
Compare Page¶
The selected scenario is compared against another scenario, which is selected using the side panel. Here, the user can view the actual and forecast sales of different stores on the same chart.