Lemur

# Automated Workflow Plan for [COMPANY]

## Objective
Automate the monthly sales report generation process for [COMPANY] in the retail industry.

## Steps
1. **Data Collection**:
   - Use Python to connect to the company's SQL database and extract sales data.
   ```python
   import pyodbc
   conn = pyodbc.connect('DRIVER={SQL Server};SERVER=server;DATABASE=db;UID=user;PWD=password')
   cursor = conn.cursor()
   cursor.execute('SELECT * FROM sales WHERE month = \'[MONTH]\'')
   data = cursor.fetchall()
   ```
2. **Data Processing**:
   - Clean and process the data using Pandas.
   ```python
   import pandas as pd
   df = pd.DataFrame(data)
   df_clean = df.dropna()
   ```
3. **Report Generation**:
   - Generate a PDF report using ReportLab.
   ```python
   from reportlab.lib.pagesizes import letter
   from reportlab.pdfgen import canvas
   c = canvas.Canvas("report.pdf", pagesize=letter)
   c.drawString(100, 750, "Monthly Sales Report")
   c.showPage()
   c.save()
   ```
4. **Email Notification**:
   - Send the report via email using smtplib.
   ```python
   import smtplib
   from email.mime.multipart import MIMEMultipart
   from email.mime.text import MIMEText
   from email.mime.base import MIMEBase
   from email import encoders
   ```

## Tools and Integrations
- Python
- SQL Server
- Pandas
- ReportLab
- smtplib

## Expected Outcome
A fully automated monthly sales report generation process that saves time and reduces manual effort.