以數據為基礎的電商平台出貨量分析

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姓名

陳銘毅(Ming-Yi Chen) 查詢紙本館藏

畢業系所

企業管理學系在職專班

論文名稱

以數據為基礎的電商平台出貨量分析

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摘要(中)

本研究以數據為基礎，針對個案公司的電商物流問題進行了研究。通過對相關數據的分析，發現出貨量存在明顯的季節性變化和地區差異，並且隨著時間的推移呈現上升趨勢。在重要節日或促銷活動期間，出貨量會有明顯提升，這需要電商企業加強備貨和物流管理。時間、地理位置、訂單種類等因素均對出貨量有較大的影響。
基於研究結果，提出了相關建議，包括改進出貨量管理、提高客戶滿意度、優化訂單管理和加強數據分析能力等。這些建議有助於電商企業實現出貨量的有效管理和優化，提高客戶滿意度和企業效益，從而提升企業的市場競爭力。

摘要(英)

This study is based on data and studies the e-commerce logistics issues of a case company. Through analysis of relevant data, it was found that there were obvious seasonal changes and regional differences in shipments, and they showed an upward trend over time. During important festivals or promotional activities, shipments will increase significantly, which requires e-commerce companies to strengthen stocking and logistics management. Factors such as time, geographical location, order type, etc. all have a great impact on shipments.
Based on the research results, relevant suggestions were put forward, including improving shipment management, improving customer satisfaction, optimizing order management and strengthening data analysis capabilities. These suggestions can help e-commerce companies achieve effective management and optimization of shipments, improve customer satisfaction and corporate efficiency, thereby enhancing the company′s market competitiveness.

關鍵字(中)

★ 電商物流
★ 出貨量管理
★ 數據分析

關鍵字(英)

★ e-commerce logistics
★ shipment management
★ data analysis

論文目次

摘要 i
Abstract ii
目錄 iii
圖目錄 iv
表目錄 v
第一章緒論 1
1.1 研究背景與動機 1
1.2 研究目的 2
1.3 研究流程 2
第二章文獻探討 3
2.1 物流產業 3
2.2 物流中心 6
2.3 物流與電商 8
2.4 電子商務 12
2.5 出貨量相關理論 15
2.6 數據分析方法與應用 16
第三章案例探討 20
3.1 個案公司 20
3.2 個案問題 21
第四章研究方法 23
4.1 研究設計 23
4.2 分析方法與工具 23
4.3 出貨量分析 24
4.4 出貨量預測 32
第五章結論與建議 39
5.1 總結研究主要發現 39
5.2 根據研究結果提出相應建議 39
參考文獻 41

參考文獻

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指導教授

呂俊德

審核日期

2024-1-29

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