Today more than ever, logistics is vital. During this COVID-19 crisis, time-critical shipping isn't going to just stop. Your shipments still need to be handled correctly. Through working in the industry for so many years, I have seen the following as consistent pillars of conversation.
In shipping, delays due to the winter freezes or spring storms are normal and completely understandable. But, what happens when you are shipping a kidney instead of the shorts you ordered?
Machine learning is a hot topic, and for a good reason. Right at the top, I’d say, machine learning has evolved to the point where it can – and should – be used to help virtually all businesses increase efficiency while reducing costs.
In many warehouses, for example, robotic machines find packages and load them onto trucks for delivery. This is great for logistics and shipping companies that actually have the technology to take advantage of new technologies like this.
When looking back and thinking about the many years I have spent in logistics, one thing always stays constant: delays happen. Everyone in the industry knows that delays are inevitable, but how we react to those delays are crucial especially when mission-critical shipments are involved. While the cost of delays can typically be calculated through a monetary value, what about the shipments that are impacting lives or causing nationwide delays?
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