Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/letiziaia/jalta
Junction 2020
https://github.com/letiziaia/jalta
b2b dashboard data-visualization horeca junction2020
Last synced: 9 days ago
JSON representation
Junction 2020
- Host: GitHub
- URL: https://github.com/letiziaia/jalta
- Owner: letiziaia
- License: mit
- Created: 2020-11-06T19:55:42.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2020-11-08T20:41:52.000Z (almost 4 years ago)
- Last Synced: 2024-10-14T05:51:43.706Z (24 days ago)
- Topics: b2b, dashboard, data-visualization, horeca, junction2020
- Language: HTML
- Homepage:
- Size: 16.4 MB
- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Coffeeagent: Smart dashboard for coffee shops
[Junction 2020](https://app.hackjunction.com/projects/junction-2020-connected/view/5fa5b1e4fe2a9500432f9949) | team jalta[Link to video demo](https://www.youtube.com/watch?v=3yzuX8VruME)
A dashboard that provides easy to interpret insights about sales, revenues and inventory. Your personnel will get assistance during sales, as the dashboard can suggest which item the customer might want to add to their order. Our vision is to bring a better experience to both customer and businesses.
The intuitive interface allows business owners to keep track of the Paulig products they use and what their customer like. The dashboard will offer, for example, information on top 5 products in the last quarter, seasonal changes in sales and products consumption, latest procurement made and a reminder for purchasing new products, when the old ones start to expire or run out. Cafeteria sale activities are supported by the visualization of revenue and by the information about products combinations that customers buy more often, powered by the frequent itemset algorithm. Finally, external data from Instagram show the time progression of customer engagement by reporting the emojis produced when using the relevant hashtag, together with the amount of interactions: we believe that social media engagement can provide valuable feedback to the business while also motivating the staff at work.
## Table of Contents
- [Installation](#installation)
- [Usage](#usage)
- [Test](#tests)
- [Privacy](#privacy)
- [Team](#team)
- [Credits](#credits)
- [License](#license)---
## Installation
The service can be directly accessed from `https://coffeeagent.herokuapp.com/`.To run the application on a local machine, follow the steps below:
### Prerequisites
- Python 3.8+
- git### Clone
- Clone this repo to your local machine using
```shell
$ git clone https://github.com/letiziaia/jalta.git
```### Setup
- Go to the project directory by using
```shell
$ cd jalta
```> update and install this package first
```shell
$ pip install -r requirements.txt
```> run the application
```shell
$ python app.py
```
Now the application can be accessed from http://127.0.0.1:8050/---
## Usage
Start the application, and ...
---
## Tests
No time for tests!
---
## PrivacyWe have worked with anonymized data or publicly available data.
---
## Team
| **Alena** | **Joonatan** | **Anselmi** | **Taige** | **Letizia** |
| :---: |:---:| :---:| :---:| :---:|
| [![Alena](https://avatars1.githubusercontent.com/u/22027871?s=400&v=4)](https://github.com/aischeveva) |[![Joonatan](https://avatars2.githubusercontent.com/u/25590558?s=400&v=4)](https://github.com/jparta) | [![Anselmi](https://avatars1.githubusercontent.com/u/63022882?s=400&v=4)](https://github.com/ansjokinen) | [![Taige](https://avatars2.githubusercontent.com/u/16875716?s=200&v=4)](https://github.com/xiaoxiaobt) | [![Letizia](https://avatars1.githubusercontent.com/u/45148109?s=200&v=4)](https://github.com/letiziaia) |---
## Credits
The project was developed during Junction 2020 Connected and the challenge was provided by Paulig.
---
## License
- **[MIT license](http://opensource.org/licenses/mit-license.php)**
- Copyright 2020 © Alena, Joonatan, Anselmi, Taige, Letizia