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Tips For Last-Mile Logistics Providers On The Road To Digitalization

Sep 12, 2023 - forbes.com
The article discusses the need for last-mile delivery companies to embrace digital transformation in order to meet increasing customer expectations and stay competitive. It highlights how companies like Amazon and Uber have utilized data to optimize their delivery processes, and suggests that traditional transportation companies need to invest in new technologies such as automation, analytics, and AI. The author emphasizes the importance of engaging employees in the digital transformation process, and suggests that SaaS solutions can be a cost-effective way for companies to quickly achieve digital maturity.

The article also highlights the importance of having accurate and accessible digital data, and the potential risks associated with drivers choosing their own tools and potentially compromising sensitive data. It suggests that companies need to provide adequate solutions to support their drivers and improve the delivery experience. The author concludes by encouraging last-mile logistics providers to tackle the challenge of digitalization, as the industry is changing rapidly.

Key takeaways:

  • Consumers now expect real-time tracking of their online purchases, driving a surge in expectations from last-mile carriers. Companies like Amazon and Uber have set the standard by using data to optimize processes and user experience.
  • Traditional transportation companies have been slow to invest in new technology, but the pandemic and geopolitical factors have highlighted the need for rapid digital transformation in the industry. This includes the adoption of tracking tools and other tech solutions.
  • Successful digital transformation requires structural and cultural shifts within the company, as well as the motivation and skills to use new technology. SaaS solutions can be a cost-effective way for small- and mid-sized logistics companies to quickly achieve digital maturity.
  • Having accurate and accessible digital data is crucial for implementing technologies like automation, analytics, and artificial intelligence. It's also important for logistics companies to retain control of their data to leverage machine learning and AI for further process optimization.
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