Final Analysis Report

Final Analysis Report: Delivery & Pickup Performance Analysis

Table of Contents

1. Executive Summary

• Overview of the project objectives and scope

• Key insights and findings from the dashboards

• Summary of recommendations

2. Introduction

• Background and purpose of the project

• Business challenges and objectives addressed

• Importance of data-driven decision-making

3. Methodology

• Data sources used (Delivery and Pickup datasets)

• Data preprocessing and cleaning steps

• Tools and technologies used (Power BI/Tableau, Python, SQL, etc.)

4. Dashboard Analysis & Key Insights

4.1 Delivery Dashboards

• Dashboard 1: Delivery Performance Overview (On-time delivery, SLA compliance)

• Dashboard 2: Customer Satisfaction Analysis (Delivery success rate, customer ratings)

• Dashboard 3: Cost & Efficiency Analysis (Cost per delivery, fuel efficiency)

• Dashboard 4: Issue Resolution & Delays (Resolution time, delays frequency)

4.2 Pickup Dashboards

• Dashboard 5: Pickup Performance & Efficiency (On-time pickup, courier performance)

• Dashboard 6: Pickup Cost Analysis (Cost per region, pickup efficiency)

• Dashboard 7: Courier Utilization Analysis (Utilization rate, average orders per courier)

• Dashboard 8: Service Benchmarking (Delivery & pickup combined metrics, revenue insights)

5. Key Trends & Observations

• Patterns in delivery delays and SLA breaches

• Pickup efficiency and courier allocation issues

• Cost variations across different regions

• Correlation between customer satisfaction and on-time performance

6. Business Recommendations

• Route optimization strategies to improve efficiency

• Workforce allocation improvements for better courier utilization

• Issue resolution automation to reduce delays

• Demand forecasting using predictive analytics to optimize delivery scheduling

7. Conclusion

• Final summary of findings

• Expected impact of implementing recommendations

• Next steps for continuous improvement

8. Appendices

• Additional visualizations and charts

• KPI calculation methods

• Data dictionary

---