Artificial Intelligence (AI) applications have proved to have a prominent role in transforming the logistics industry. AI’s power to process substantial amounts of data in real time improves many activities in the logistics sector such as route optimization, warehouse management, demand forecasting, automated customer service, predictive maintenance, and much more. Several organizations worldwide have embraced this technology in logistics but in different processes and implementation stages and have not all reached the same success level. AI application in the logistics industry in Egypt is still considered to be in its first stages compared to other developed countries. This chapter examines the initiatives undertaken in terms of the use of AI in logistics focusing on the Egyptian private sector organizations. Data was first gathered through secondary data captured from the literature and online reports and articles. To have a deeper insight, we next conducted interviews with the management of eight providers/implementers organizations operating in Egypt within the context of the Technology-Organization-Environment (TOE) framework. The study outcome provides a landscape about AI adoption in logistics in Egypt pinpointing the main drivers and encountered challenges.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Investigating the Adoption of Artificial Intelligence in the Logistics Sector in Egyptian Organizations

  • Nahed Azab,
  • Mohamed Elsherif,
  • Heba Sayed

摘要

Artificial Intelligence (AI) applications have proved to have a prominent role in transforming the logistics industry. AI’s power to process substantial amounts of data in real time improves many activities in the logistics sector such as route optimization, warehouse management, demand forecasting, automated customer service, predictive maintenance, and much more. Several organizations worldwide have embraced this technology in logistics but in different processes and implementation stages and have not all reached the same success level. AI application in the logistics industry in Egypt is still considered to be in its first stages compared to other developed countries. This chapter examines the initiatives undertaken in terms of the use of AI in logistics focusing on the Egyptian private sector organizations. Data was first gathered through secondary data captured from the literature and online reports and articles. To have a deeper insight, we next conducted interviews with the management of eight providers/implementers organizations operating in Egypt within the context of the Technology-Organization-Environment (TOE) framework. The study outcome provides a landscape about AI adoption in logistics in Egypt pinpointing the main drivers and encountered challenges.