Modeling and Optimization of JD Logistics Delivery Time Data in Spreadsheets-Pandabuy Spreadsheet-The best spreadsheet

Modeling and Optimization of JD Logistics Delivery Time Data in Spreadsheets

2025-04-24

Introduction

With the rapid growth of e-commerce, logistics efficiency has become a key competitive differentiator. JD Logistics, as a leading player, faces challenges in optimizing delivery times across diverse regions. This study explores a data-driven approach by modeling JD Logistics' regional delivery time data in spreadsheets, analyzing influencing factors, and proposing actionable optimization strategies to enhance efficiency and customer satisfaction.

1. Data Collection Methodology

Geographic Segmentation:
Multi-factor Data:
Time Frame:

Region Avg. Distance Rainy Days (%) Peak Traffic Delay On-time Rate

Beijing-Tianjin 25 km 12% 18 min 94.2%

Region	Avg. Distance	Rainy Days (%)	Peak Traffic Delay	On-time Rate
Beijing-Tianjin	25 km	12%	18 min	94.2%

2. Spreadsheet Modeling Approach

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