Abstract
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 language | English |
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Title of host publication | Progress in Economics Research |
Publisher | Nova Science Publishers Inc. |
Pages | 141-165 |
Number of pages | 25 |
Volume | 41 |
ISBN (Electronic) | 9781536144611 |
ISBN (Print) | 9781536144604 |
Publication status | Published - 8 Nov 2018 |
Keywords
- Artificial intelligence
- Big data analytics
- Data mining
- E-commerce
ASJC Scopus subject areas
- Economics, Econometrics and Finance(all)
- General Business,Management and Accounting