In the last few years, we’ve been hearing a lot about how artificial intelligence will change the way we do business, and now, here we are in 2020, creating staggering amounts of digital data and incorporating AI to help us manage this. As a result, many companies are trying to figure out how to utilize new AI-enabled warehouse technology today to try and get ahead of the competition.
eCommerce retailers particularly are finding many ways to put AI to use in their warehouses, and operations are being greatly improved by this. Autonomous robots, personalized portals providing customizable data analytics, chatbots with immediate customer support, and tailored search results and ads for product recommendations are just a few ways AI is making warehouse technology smarter.
Machine learning and robotics have a long way to go until they are truly thinking for themselves, but they optimize productivity and bring us a brand new experience within the warehouse.
The efficient use of AI in eCommerce helps more warehouses connect utilizing the cloud, allowing them to track and map out the fastest way to ship products. The ways in which companies are using AI in the warehouse to become more efficient, improve platforms, and streamline the packing process are growing every day. According to Statista.com, revenues from the global AI software market are expected to grow from $10 billion in 2018 to $126 billion by 2026.
If a machine learns from experience (i.e. gathers knowledge independently) and can then act based on those experiences, it’s considered artificial intelligence. These machines can process information like any human and adapt to any new or changing situation.
The most sophisticated piece of machinery known to man, other than the human body, is a piece of machinery using AI. In computer programming, the conventional approach is to tell a computer to do something by breaking down each problem into a smaller one that the computer can perform.
But, in a neural network, you don’t tell the computer what to do. Instead, it learns what to do and solves the problem on its own. One example includes the warehouses of British online grocery store Ocado, where robots sort and pick groceries for orders. This is done fully autonomously in the warehouses.
Right now, there’s a bit of a boom going on in the different types of neural networks available and how AI is applied in different industries. That’s why it’s important to understand the difference between artificial intelligence and machine learning.
Artificial intelligence refers to a man-made object that has the ability to think or understand like humans. It is a system embedded in a machine or software that simulates natural intelligence to solve problems. Perhaps most importantly, AI is capable of making decisions and responding to situations like humans do.
In its simplest form, machine learning allows machines to gain knowledge on its own, rather than being programmed. It’s a subset of AI, and the ultimate goal is for a machine to learn to perform a certain task and do it well. To do this, a machine will analyze data and create self-learning algorithms. The crucial point hre, though, is that with machine learning, these machinese have very static responses - they can't think or adapt the way AI-enabled machines can.
Artificial intelligence can go a long way to improving operations at your warehouse. Smart systems come with a whole host of useful benefits that will smooth your business processes and (hopefully) increase your profit margins. Here’s why you should be using AI in your warehouse:
Intelligent, autonomous warehouse technology is already having a huge impact on warehouses around the world. In fact, it’s been predicted that 30% of UK warehousing jobs will become fully automated by 2030. These systems can accurately forecast patterns and simplify information processing so that businesses can better manage their inventory. You’ll no longer have to manually update databases, and mistakes will be greatly reduced.
AI will change how materials move by improving the handling systems and conveyors. The facility itself, the doors, ramps, and elevators will all collect data leveraging the massive data sets collected. Here are a few ways in which AI will revolutionize the modern warehouse.
AI is already increasing the scale of business activity by freeing people up from doing mundane, repetitive work in the warehouse. Many of the world’s biggest companies are already incorporating smart systems and warehouse automation technology to streamline their operations. Here are a few examples:
Artificial intelligence is transforming how the modern warehouse executes its business process. The bottom line is that smart warehouse technology is helping organizations improve their warehouse operations by creating faster, more flexible systems.