Analyzing real-world toll-free customer care data from a multi-branch carwash business in Kenya to uncover trends, optimize service, and support business decisions. Built with Python, storytelling, and clean visual insights.
# π Premium Carwash Customer Care Call Analysis
**Author: Rachel Odhiambo**
## Introduction
This project delivers a comprehensive analysis of customer service call records from a **busy, premium 10-branch carwash business** that served hundreds of customers weekly. As the **customer care representative**, I personally received and documented each call through the official **toll-free line**, maintained monthly logs, and later structured this data for analytical purposes.
Our toll-free customer care line handled everything from inquiries, bookings and service follow-ups to urgent complaints β reflecting the high expectations of our loyal, quality-conscious clientele.
Despite this daily volume of interactions, much of the service data remained unstructured and underutilized. This analysis transforms **two years of manually documented call records** into clear, actionable business insights β helping inform staffing, improve service delivery, and support smarter branch-level decisions.
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## Business Problem
Customer care centers are crucial touchpoints β but often lack structured feedback loops.
**This project answers:**
- Why are customers calling?
- When and where do most calls occur?
- How are issues resolved across branches?
- What can we learn to support staffing, scheduling, and training?
By addressing these questions, we unlock practical improvements for service delivery and strategic operations.
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## π― Project Goals
To transform raw call logs into **actionable, data-driven business intelligence**:
- β
Identify high-demand periods for effective resource planning
- β
Track top reasons for calls and how agents respond
- β
Reveal location trends and high-traffic branches
- β
Support customer-centric strategies using real-world insights
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## π₯ Stakeholders & Value
| Stakeholder | Value Delivered |
|-------------------------|-----------------|
| **Branch Managers** | Understand local trends & optimize workflows |
| **Customer Ca β¦