In recent years, the rapid development of e-commerce has significantly transformed the retail industry. With the rise of purchasing agent platforms and traditional e-commerce shopping platforms, the demand for efficient and accurate logistics services has become paramount. This study aims to explore and compare the timeliness and accuracy of logistics delivery between these two types of platforms.

1. Introduction

The logistics system is a critical component of e-commerce operations, directly impacting customer satisfaction and overall business performance. Purchasing agent platforms, which act as intermediaries for consumers to buy products from overseas or different regions, often face additional challenges in logistics compared to traditional e-commerce platforms. This study evaluates the performance of these platforms in terms of delivery timeliness and accuracy.

2. Methodology

The study employs a mixed-methods approach, combining quantitative data analysis and qualitative interviews. Data was collected from 500 customers who have used both purchasing agent platforms and mainstream e-commerce platforms over the past year. The delivery timeliness was measured by the average time taken from order placement to delivery, while accuracy was assessed based on the percentage of orders delivered without errors.

2.1 Quantitative Analysis

Statistical tools were used to analyze the efficiency of logistics across the two types of platforms. Key metrics included average delivery time, on-time delivery rate, and error-free delivery rate. The results were then compared to identify any significant differences.

2.2 Qualitative Insights

Semi-structured interviews were conducted with logistics managers and front-line delivery personnel from both purchasing agent platforms and e-commerce platforms. These interviews provided deeper insights into the challenges faced by each type of platform and the strategies employed to overcome them.

3. Findings

3.1 Delivery Timeliness

The study found that traditional e-commerce platforms, such as Amazon and JD.com, generally outperformed purchasing agent platforms in terms of delivery timeliness. The average delivery time for e-commerce platforms was 2.5 days, compared to 7.3 days for purchasing agent platforms. This discrepancy is largely due to the additional layers of handling and cross-border logistics involved in purchasing agent services.

3.2 Delivery Accuracy

In terms of accuracy, the results showed a more balanced performance. E-commerce platforms achieved a 98.5% error-free delivery rate, while purchasing agent platforms achieved 96.2%. Although purchasing agent platforms had a slightly lower accuracy rate, the difference was not statistically significant, indicating that both types of platforms are effective in ensuring order accuracy.

4. Discussion

The findings suggest that while purchasing agent platforms face inherent logistical challenges, particularly in cross-border transactions, they are still able to maintain a high level of delivery accuracy. However, improving delivery timeliness remains a critical area for these platforms. The study also identified several factors contributing to the differences in performance, including infrastructure, technological integration, and regulatory compliance.

5. Conclusion

This study highlights the importance of logistics efficiency in e-commerce, particularly for purchasing agent platforms that operate on a global scale. While traditional e-commerce platforms currently lead in delivery speed, purchasing agent platforms have demonstrated promising accuracy rates. Future research should focus on identifying best practices for improving delivery timeliness across purchasing agent platforms without compromising accuracy.

6. Recommendations

• Purchasing agent platforms should invest in advanced logistics technologies to streamline cross-border deliveries.
• E-commerce platforms should continue to optimize their warehouse and distribution networks to maintain their lead in delivery speed.
• Both types of platforms should prioritize customer feedback to identify specific areas for improvement in logistics operations.