Introduction

The growth of e-commerce has brought about increased demand for faster and more efficient last-mile delivery systems. To meet this demand, the industry has turned to artificial intelligence (AI) and automation to optimize the delivery process. In tandem with the umpteen other options, both technological and process-driven, AI & automation can affect some serious improvement in the last-mile delivery systems.

The top 5 ways AI impacts the last mile  

AI offers a slew of advantages in this leg and other stages of the supply chain lifecycle as well. But in order for organizations to optimize the most difficult and error-prone process in the business, the last mile, it is extremely beneficial to leverage artificial intelligence & automation technologies. Let’s take a detailed look at how this works:

1. Improved Efficiency and Speed

AI and automation can help improve the efficiency and speed of last-mile delivery systems. By using predictive algorithms to optimize delivery routes, AI can help drivers avoid traffic and other obstacles, resulting in faster delivery times. Additionally, automation can help to reduce manual labour, allowing drivers to focus on the most important tasks, such as package delivery and customer service.

2. Enhanced Customer Experience

By using AI and automation, last-mile delivery systems can provide an enhanced customer experience. AI can help to provide real-time updates on delivery status, including expected delivery times and any potential delays. This can help to reduce customer frustration and improve customer satisfaction. Additionally, automation can help to reduce errors and improve package handling, ensuring that packages are delivered in good condition.

3. Reduced Costs

AI and automation can help to reduce costs in last-mile delivery systems. By optimizing delivery routes and reducing the need for manual labor, companies can reduce their operating costs. Additionally, AI and automation can help to reduce the likelihood of errors, which can result in costly returns and refunds.

4. Improved Safety

AI and automation can help to improve the safety of last-mile delivery systems. By using sensors and other technologies, automation can help to identify potential hazards, such as obstacles on the road or other vehicles, and help drivers to avoid them. Industry leaders like Tesla are paving the way for driverless vehicles and thus driverless delivery systems as well in the near future.

5. Greater Sustainability

AI and automation can help to promote greater sustainability in last-mile delivery systems. By optimizing delivery routes and reducing the need for manual labor, companies can reduce their carbon footprint. Additionally, automation can help to reduce the amount of packaging material needed, as packages can be handled more carefully and securely.

Conclusion

The impact of AI and automation on last-mile delivery systems has been significant and promises to grow at exponential rates. By improving efficiency and speed, enhancing the customer experience, reducing costs, improving safety, and promoting greater sustainability, artificial intelligence-based technologies have helped to transform the industry. As e-commerce continues to grow and evolve, it is likely that AI and automation will play an even greater role in last-mile delivery systems, helping to meet out the demands of customers and businesses alike.