FedEx has been using machine learning for a few years to improve delivery time accuracy, and it is expected to become more precise with continued use. The company is also using machine learning to develop more accurate volume forecasts and provide predictive carbon emissions data. Meanwhile, competitor UPS is also leveraging machine learning to enhance its operations.
Key takeaways:
- FedEx has introduced a new machine-learning model to provide more accurate delivery time estimates to customers, factoring in variables such as weather and traffic conditions.
- The company is also exploring the use of generative AI technologies, like those used in chatbots, to improve the delivery experience by asking users questions about their shipment.
- FedEx is using machine learning to develop more accurate volume forecasts and provide predictive carbon emissions data through its FedEx Sustainability Insights platform.
- Rival company UPS is also utilizing machine learning to enhance its operations, adjusting the flow of packages in response to demand changes and improving network planning efficiency.