Adam
Dandi
ADAMS PROJECT

Comprehensive Business Analysis for Barberking Enterprises

Completion

November 15, 2024

Boosting Revenue and Operational Efficiency Through Data-Driven Insights

This project delivers a comprehensive analysis of Barberking Enterprises' operational performance across multiple outlets. It evaluates the impact of add-on services on total revenue, customer payment preferences, transaction timing patterns for fraud detection, and individual barber performance. The goal is to optimize revenue streams, improve customer satisfaction, and enhance operational transparency.
Data Details
Data Sources: Transaction data across Barberking outlets. Data Size: Includes thousands of transaction records segmented by service, payment method, and individual performance metrics. Key Variables: Transaction amounts, service types, payment methods, transaction times, profit-sharing percentages, and commissions.
The Problem
1) What is the contribution of add-on services to overall revenue, and how can they be optimized? 2) How do customer payment preferences influence revenue generation? 3) Are there potential anomalies in transaction timing that indicate fraud or inefficiencies? 4) What is the correlation between individual barber performance and profit-sharing schemes?
The Solution
1) Add-On Service Analysis: Evaluated the revenue contribution of each add-on service. Identified high-performing services for targeted promotions. 2) Customer Payment Preference Analysis: Assessed the popularity of payment methods and their average transaction values. Provided insights into digital payment adoption trends. 3) Fraud Detection: Detected anomalies in transaction timing using time-gap analysis. Identified barbers with unusually high or low average transaction intervals. 4) Individual Performance and Profit Sharing: Analyzed average transaction amounts and customer counts per barber. Explored correlations between profit-sharing models and barber performance.
Showcase
No items found.
Insight

Add-On Services: Popular add-ons like "Vitamin" and "Silet Razor" had high transaction frequencies but modest revenue contributions, supporting customer retention strategies. Payment Preferences: Non-cash payments generated higher average transaction values, indicating a shift toward digital methods. Fraud Detection: Barbers with extreme transaction time gaps required further investigation to ensure operational integrity. Individual Performance: High-performing barbers exhibited strong correlations between service frequency and revenue, emphasizing the need for performance-based incentives.

Recommendation

Add-On Service Optimization: Promote top-performing add-ons through bundles and discounts. Upsell premium add-ons that contribute significantly to revenue. Payment Strategy: Incentivize digital payment methods to increase transaction values. Enhance adoption of proprietary payment systems like Barberking Pay with loyalty rewards. Fraud Mitigation: Investigate barbers with extreme transaction gaps for potential inefficiencies or fraud. Introduce automated transaction monitoring systems. Performance Incentives: Standardize profit-sharing percentages across outlets to ensure fairness. Implement tiered commissions and performance-based rewards. Operational Improvements: Share best practices from high-performing outlets. Provide training programs for barbers in underperforming outlets to improve service quality and upselling skills. Ongoing Monitoring: Establish regular reviews of transaction and performance data to adapt strategies dynamically.

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