Recover overdue payments effortlessly with smart automation.

The Challenge of Managing Overdue Invoices

Chasing overdue invoices is a frustrating and time-consuming process for businesses. Missed payments affect cash flow, and manually tracking and following up with clients can be inefficient.

What if you could automate the entire debt collection process using Python?

By leveraging Pandas, SMTP (email automation), and MongoDB, businesses can automatically track unpaid invoices, send reminders, and even escalate overdue payments based on custom rules.

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How Python Automates Debt Collection

A Python-powered debt collection system can:
✔️ Track overdue invoices and classify them based on the delay.
✔️ Send automated payment reminders via email or SMS.
✔️ Generate payment reports for better financial oversight.
✔️ Escalate cases to collections agencies when necessary.
✔️ Store all invoices and follow-ups in MongoDB for tracking.

Let’s build an automated system step by step.

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Step-by-Step Guide to Automating Debt Collection with Python

Step 1: Load and Analyze Overdue Invoices

We’ll start by importing invoice data using Pandas.

import pandas as pd

# Load invoice data
df = pd.read_csv("invoices.csv")

# Display first few rows
print(df.head())

The dataset should include:

• Invoice Number
• Client Name
• Email Address
• Due Date
• Amount Due
• Payment Status

Step 2: Identify Overdue Invoices

We need to filter out unpaid invoices that have exceeded their due date.

from datetime import datetime

# Convert due_date column to datetime format
df['due_date'] = pd.to_datetime(df['due_date'])

# Today's date
today = datetime.today()

# Filter overdue invoices
overdue_invoices = df[(df['due_date'] < today) & (df['payment_status'] == "Unpaid")]

# Display overdue invoices
print(overdue_invoices)

Step 3: Send Automated Email Reminders

We’ll send an email reminder to each client with overdue invoices.

import smtplib
from email.mime.text import MIMEText

# Email configuration
SMTP_SERVER = "smtp.your-email-provider.com"
SMTP_PORT = 587
EMAIL_USERNAME = "your-email@example.com"
EMAIL_PASSWORD = "your-password"

# Function to send email reminders
def send_email(to_email, client_name, invoice_number, amount_due, due_date):
    subject = f"Payment Reminder: Invoice {invoice_number} Overdue"
    body = f"""
    Dear {client_name},

    This is a reminder that Invoice {invoice_number}, amounting to ${amount_due}, was due on {due_date.date()}.
    Please make the payment at your earliest convenience.

    If you have already made the payment, please disregard this message.

    Best regards,
    Your Company Name
    """

    msg = MIMEText(body)
    msg["Subject"] = subject
    msg["From"] = EMAIL_USERNAME
    msg["To"] = to_email

    with smtplib.SMTP(SMTP_SERVER, SMTP_PORT) as server:
        server.starttls()
        server.login(EMAIL_USERNAME, EMAIL_PASSWORD)
        server.sendmail(EMAIL_USERNAME, to_email, msg.as_string())

# Loop through overdue invoices and send reminders
for index, row in overdue_invoices.iterrows():
    send_email(row["email"], row["client_name"], row["invoice_number"], row["amount_due"], row["due_date"])
    print(f"Reminder sent to {row['client_name']} for Invoice {row['invoice_number']}.")

Step 4: Escalate to Collections for Long Overdue Payments

If an invoice is overdue for more than 60 days, we can automatically escalate it to collections.

# Filter invoices overdue for more than 60 days
long_overdue_invoices = overdue_invoices[today - overdue_invoices['due_date'] > pd.Timedelta(days=60)]

# Flag these for escalation
long_overdue_invoices['status'] = "Escalated to Collections"

# Save escalation list
long_overdue_invoices.to_csv("escalated_invoices.csv", index=False)

print("Long overdue invoices flagged for collections.")

Step 5: Store Follow-Up History in MongoDB

To track reminders sent and escalations, we’ll store the data in MongoDB.

from pymongo import MongoClient

# Connect to MongoDB
client = MongoClient("mongodb://localhost:27017/")
db = client["debt_collection"]
collection = db["reminders_sent"]

# Convert overdue invoice data to dictionary
reminder_records = overdue_invoices.to_dict(orient="records")

# Insert records into MongoDB
collection.insert_many(reminder_records)

print("Reminder history stored in MongoDB for tracking.")

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Why Automate Debt Collection?

✅ Reduce late payments – Ensure customers never “forget” an invoice.
✅ Save time – No need to manually follow up on every overdue invoice.
✅ Improve cash flow – Get paid faster and minimize revenue loss.
✅ Scale effortlessly – Handle hundreds of invoices without additional effort.

By automating debt collection with Python, businesses can eliminate the hassle of chasing payments and focus on growth.

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Let’s Automate Your Debt Collection Process!

Tired of chasing overdue payments? We can build a custom debt collection automation system using Python, Pandas, and MongoDB.

✅ Automated email & SMS reminders
✅ Custom escalation workflows
✅ Real-time tracking & reporting

Let’s make late payments a thing of the past.

📩 Contact Lillqvist Strat today to get started!