Building a Slack Bot Using Python

Sparsh Gupta

Data Visualizer
Data Analyst
Conversational Bot
Python
Slack
SQL

Developed a Slack bot using Python for Klearly, a €2.1 million pre-seed fintech in Amsterdam, designed to alert team members about merchants at risk of churn. This proactive approach aimed to enhance customer retention efforts by ensuring timely intervention.

Key Features:

• Risk Identification: Implemented algorithms to analyze merchant data and identify those at risk of churn, enabling the team to prioritize retention efforts.

• Automated Alerts: Created a Python script that utilized the Slack API to send real-time alerts to relevant team members when a merchant was flagged as at risk, fostering prompt action.

• Seamless Data Integration: Ensured that the bot passed data directly to Slack, integrating smoothly with existing workflows and enhancing team communication.

• User-Friendly Notifications: Designed notifications that provided actionable insights, making it easy for team members to respond quickly and effectively.

Outcomes:

• Improved retention rates by allowing the team to proactively engage with at-risk merchants before potential churn.

• Streamlined communication within the team, facilitating a more collaborative approach to customer success.

Note: Due to a non-disclosure agreement (NDA), I am unable to share specific images related to this project.

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