Ten years ago, the notion of what a warehouse was and could be was considered a closed book by many in the industry. However, the rapid rise of the internet of things (IoT) and other technologies, combined with a changing ecommerce landscape, has pushed new warehouse capabilities from the bleeding edge to the mainstream.
The latest logistics challenge? Rising warehouse costs. You can thank the internet for the squeeze on warehouse real estate. Companies like Amazon have made next-day and same-day delivery a consumer expectation, and those capabilities require retailers to keep their stock as close as possible to the customer.
According to a recent report from the IPCC, human beings have a little more than a decade to cut greenhouse gas emissions by half or face unprecedented environmental consequences. The report created a ripple effect through the media when it was released, along with renewed public pushes for substantive change.
Widespread adoption of machine learning in the supply chain represents a quantum leap for optimization and efficiency analysis efforts. Powerful software can do the work of dozens of human analysts in a fraction of the time, freeing up your experts to focus on teasing out trends and often finding solutions for inefficiencies we didn’t know […]
In 2019, the role of warehousing in the supply chain is evolving to meet new consumer expectations. At the same time, shifting macroeconomic pressures and market demands are impacting how warehouses look and operate.
Excitement surrounding new warehouse technology has been building for several years. Now, we’re reaching a stage where the devices and software that power the warehouse of the future are here, ready to be deployed today.
Next-day fulfillment is promoting innovation all along the supply chain. Nowhere is that more evident than in warehousing, where strategic local nodes are replacing massive exurban warehouses.
The increasing demand for omnichannel retail experiences is driving many companies to scale fulfillment operations quickly, stressing the entire supply chain. In many cases, this can create a big mess when the necessary physical and software infrastructure required to scale properly isn’t in place.
How supply chain companies choose to cope with changing market pressures and shifting customer demands will define their success in 2019.
The widespread digitization of logistics is fueling the search for more efficient ways to ship, pack, and process goods. Companies all along the supply chain are finding ways to use big data and advanced machine learning technology to streamline processes and automate difficult tasks. Here are nine ways AI is revolutionizing logistics: