AI-Marketer

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Analyze your marketing data by AI & ML algorithms without a single-line of code.

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## What is AI Marketer ?
AI Marketer is an AI-enabled marketing analytics tool that uses only a few clicks to generate insightful data.
Its for online marketer to analyze marketing data by AI & ML algorithms without a single-line of code.

By using our preset marketing task, you can get answer from unstructured data in numbers, text, tables, and charts.

## Website :
www.ai-marketer.tech

## Update: 
Updated the pages structure of Streamlit App, based on that all the functions are being moved to /pages folder, if you are not able to replicate the pages function, please update your streamlit version

## How to start the streamlit server ?
```
streamlit run Home.py
```

## Why we create AI Marketer ?
To help marketer with no statistic / data analytics background to analyze data and handling routine marketing task in just a few clicks

## Tutorial :
https://youtube.com/channel/UCvmEPC9fUfY8L2-v9IV1i4w

## Features :

Two Parts – Tasks / Module

**Task**:
→ Combine different modules to analysis and generate different graphs
 Example: RFM model = Classification + Regression
Analyse CSV file and show the data into bar chart by analysed segment groups

**Module**:
→ independent function and method

| Tasks | Input | Result |
| :-------------: | :-------------: | ------------- |
| Price Analysis | Product name and ```Country Code``` (Alpha-2) | list and line chart show all the shops with name and price |
| Trend Forecast | Product name and *```Country Code``` (Alpha-2) | Show the prediction of the upcoming month and seasonality Line chart and list will be shown |
| RFM model | Upload a CSV file | Show the table after system made RFM ```Segment tags``` for each customer Bar chart show the distribution of the RFM tags |
| Competitor Analysis | Upload a CSV file | Show the list of different shops with score in different aspects Positioning Map: Select two aspects and located based on the relationship|
| Customer Segmentation | Upload a CSV file | Cluster to show to distribution of the customers Elbow graph show the value of k List and bar chart to show the performance of different customer groups Bottom Section: All the statistics are shown by different customer groups |
| Review Analysis | Upload a CSV file | Filter the keywords that the customer mentioned Line chart shows the trend of the topics over time Topic Distance Map: show the similarity of different words|
| Google adWord Generator | Type keywords combination | A list of showing all the words combination with ```Match_type``` |
| Cart Analysis | Upload a CSV file | A list of showing the relationship of different products (high probability → closer relationship) |

*Optional, Default: the whole world

>For your reference:
 ``` Country Code ```: https://www.iban.com/country-codes
 ``` Match_type ```: https://support.google.com/google-ads/answer/7478529?hl=en
 ``` Segment tags``` (analysed by the system):
 Champions > Loyal Accounts > Potential Loyalist > New Active Account > Low Spenders > At Risk > Need Attention > About to Sleep > Lost

## Road Map

### Integration with 3rd parties datasource by API

Our product focuses on analysing the data which users need to upload. At this moment, we are required to upload a CSV file. In order to increase the usage and convenience, we propose to integrate with 3rd parties data source , e.g : Google Sheet , Zapier for better user experience.

### Intended Outcome:
Users can get seamless integration with their datasource, instead of using manual input by uploading a local CSV file.

### Suggested Integration : 
Google Sheet , 2. Zapier , 3. Database

## What packages do we use ?
AI Marketer is a non-profit open-source project, we build AI Marketer with a lot of help from other open source packages :

### Front end :
Streamlit (https://streamlit.io/)

### Machine Learning & AI packages :
PyCaret (https://pycaret.org/)

Transformers (https://huggingface.co/docs/transformers/index)

Bertopic (https://maartengr.github.io/BERTopic/index.html)

Prophet (https://facebook.github.io/prophet/)

SpaCy (https://spacy.io/)

Top2Vec (https://github.com/ddangelov/Top2Vec)

### Others :
Google Trans (https://github.com/ssut/py-googletrans)

Plotly (https://plotly.com/)

## Creator & Contributor 
Super Chain (Github : Super-Chain)

LAU, Ching Ming, Samuel (Github : samuellau0802)

Motaz Saidani (Github : Motaz-Saidani)

Cat YUNG (Github : catyung)

We welcome your contribution anytime

## Collabration & Contact 
Please feel free to contact us at : 
support@ai-marketer.tech

## Version 
Beta

AI-Marketer

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