warehouse operations

Top 5 ways AI will impact the warehouse operations

An employee who is perfect at his job and does not need any rest found at the Amazon’s US warehouse named Kiva, but coworkers complains that kiva doesn’t socialize. This behavior can be tolerated since Kiva enabled the company to deliver millions of items to customers on time and because of the fact that kiva is a robot. Kiva is designed to carry stack of goods from one stop to another without dropping them or colliding into each other. This could not had been possible without the intervention of Artificial intelligence, a field of computer science which enables machines to almost work like humans. It is expected that AI will impact the warehouse operations very significantly, we will be astonished to observe how AI has penetrated in the field of logistics. AI is now being used by best logistics services companies to handle their operations.

1. Automated Inventory Monitoring

Whole warehouse is on a single laptop, inventory checking manually is getting old now a day’s automated inventory system present most accurate inventory information, avoids redundant processes and provides the opportunity to keep hawk eye on the entire warehouse. It has just wiped out the chances for manual errors. Cargo can be handled with much more efficiency than ever before by freight forwarding companies. AI will take the whole logistics system toa next level, with its smart functions AI will bring improvements in systems and components, including software, mechanics and even sensors.

2. Machine Learning

For those of you who are thinking that what will automated warehouse system do in case of unexpected conditions? For that my friends you need to keep this in your mind that machine learning has the ability to adapt to changing conditions. Machine learning is dependent on data that could be anything, which later is priorities by machine itself to present desired results. From placing goods toshelves to transporting through vehicles, machine learns each and every step and provide multiple best possible ways to do it. The simplest example of machine learning can be seen in ecommerce industry where out of stock items gets inactive from website automatically.

3. Robot Automation

Use of Robots is becoming very effective in all the industries, from planting seeds to conducting surgeries we have started seeing robots everywhere. Replacing human labor with robots is not only cost effective but has also set new standards of error less work. Companies are focusing on investing in AI technology in order to get the more efficient results. Ocado, a British online company have transformed their warehouses completely with the intervention of AI, vacant space is utilized very efficiently, and the position in which items are placed is marked algorithmically. Even the online market giant Alibaba has modified its warehouse very smartly where robots are performing almost 70% of Alibaba’s warehouse operations. From above examples it can be deduced that AI is the future without any doubts.

4. Data Mining

Data mining is a process of converting raw data in more meaningful information. Data has become more and more vulnerable since inception of AI. All this data helps in providing delivery dates, site selection and acquisition, freight shipping rates and establishing interface with shippers.

5. Forecasting through AI Algorithm

AI enabled systems learns from its previous experiences and is able to analyze the relationship and significance of several factors. AI is capable of analyzing patterns that are very difficult, painstaking or costly for human labor. Forecasting while working in warehouse is one of the most difficult tasks, no matter if your warehouse is small or large, you will always face difficulties in allocating spaces. Since necessity is the mother of invention therefore warehouse companies came up with the solution in the form of AI, this solution not only resulted in remarkable and unexpected forecasting but also gave birth to the automated sorting system, self-driving vehicles and inventory system that can manage itself.