Automated technology is a matter of perspective. In 2018, the search for automated features in business has been incredibly impactful, from both a research perspective and a purely budget-related one. It has been stated how much machine learning has developed from being a niche technology to something with the potential to reshape a specific business sector, but, in practice, what is the future of automated pieces of technology?
Machine Learning Applied To Warehousing
Warehousing processes have been (probably) the biggest example of machine learning being applied to tangible business routines. With the biggest example on the matter being Alibaba, which, by automating their entire warehousing processes has seen a net +70% increase in productivity, which led to vast, impactful usage of these technologies in a variety of business sectors. Machine learning applied to the warehouse is a matter which stated grounds for the future of automation in services.