We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.
The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ...
Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.
Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.
“AI-powered orchestration is about evaluating the total work required and organizing it across various processes. This is about allocating tasks to different agents — be they robotic or human — in real-time. By employing predictive models and neural networks, it anticipates the workload across the day and reacts in real-time to meet these demands.”
The warehousing industry is facing challenges due to a rising demand for space, driven in part by the growth of ecommerce and consumer demand for faster deliveries. As warehousing capacity struggles to keep up with this demand, lease prices are increasing. To address these challenges, warehouse automation, including both mechanical and decision-making automation, has become crucial. GreyOrange co-founder and CEO Akash Gupta discusses how AI-powered automation orchestration optimizes work allocation between robotic and human agents, reducing overhead costs and continuously adapting to changing demand.
Read the original article from The Logistics Report here.