The integration of big data analytics, data mining and artificial intelligence solutions for strategic e-commerce retail and logistics business-it alignment: A case study

K. H. Leung, C. C. Luk, K. L. Choy, H. Y. Lam

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review


The advancement of information technology, in conjunction with the popularity of the use of mobile apps and mobile payment, has facilitated a drastic growth of e-commerce retail business around the globe in the past decade. In order to focus on core business processes, such as product development and promotion, e-retailers commonly outsource the logistics and distribution aspects of e-commerce business to third-party logistics service providers (3PLs). In attempting to grasp a share of the market pie of e-commerce logistics business, 3PLs, on the other hand, need to rise to the challenge of providing timely and efficient logistics service for ecommerce orders to satisfy both the e-retailers and the consumers. In view of the essential need of 3PLs to continuously improve their core capability in e-commerce order handling, which may in turn facilitate ecommerce supply chain excellence as a whole, this article describes the current bottlenecks in the e-commerce supply chain, reviews both the state-of-the-art and common logistics management systems in the market for e-commerce order management, thereby providing a critical review of the feasibility of integrating various popular artificial intelligence (AI) techniques in the development of logistics management systems. A case example is provided to demonstrate the potential of cost-effective, lightweight artificial intelligence-based e-commerce order handling systems for effective management of e-commerce logistics orders by the 3PLs.

Original languageEnglish
Title of host publicationProgress in Economics Research
PublisherNova Science Publishers Inc.
Number of pages25
ISBN (Electronic)9781536144611
ISBN (Print)9781536144604
Publication statusPublished - 8 Nov 2018


  • Artificial intelligence
  • Big data analytics
  • Data mining
  • E-commerce

ASJC Scopus subject areas

  • Economics, Econometrics and Finance(all)
  • Business, Management and Accounting(all)

Cite this