How AI Orchestrated Workers are Key to Warehouse Automation

Warehousing organizations face rising costs due to errors in stocking, order picking, and general turnover. Warehousing and logistics operations managers are tasked with finding ways to enable faster onboarding and increased pick rates, while reducing error rates. It's well known that Vuzix augmented reality (AR) smart glasses optimize efficiencies in the warehouse and distribution center by providing an improved onboarding experience, real-time decision-making support, and instantly connecting workers to supervisors and enterprise management systems. 

When paired with augmented reality, AI-enabled human workers and automation are orchestrated together to work more efficiently and intelligently. AI is continuously interpreting data to adaptively drive and revolutionize work process optimization. Vuzix’ partner, LogistiVIEW, has created a platform utilizing AI, computer vision, machine learning, speech recognition, and object recognition, to introduce automated decision making into warehousing and logistics operations. Automated decision making is the process of using AI software to recommend that a person makes a decision or takes an action, based on a recognized pattern, and filtering complex data streams to deliver only what is most critical to aid the task at hand. 

“LogistiVIEW’s Automated Decision Making (ADM) predicts the next best work to do and responds in real-time as change happens. As operational complexity grows, managing uncertainty and maintaining smooth flow is an increasingly difficult task for operations leaders, creating inefficient and unpredictable outcomes. Leaders are often tied to their computers cross referencing data in multiple systems to manually plan work and watch emails for visibility to change," said Seth Patin, CEO of LogistiVIEW. “ADM unlocks the potential of people by optimizing work assignment and instruction for the workforce and empowering operations leaders to spend more time with their workforce managing performance and less time on their computers managing work.”

Warehousing and logistic operations are now enhanced by using AI software to recommend things such as which orders should be released to the warehouse, the order in which tasks should get done, who work should be assigned to, the process in which an order should flow through the warehouse, among others. 

Over time, LogistiVIEW's work optimization engine will ​learn how to improve productivity on the floor by analyzing the myriad labor data captured during process execution. By using machine learning, it will provide insights into worker behavior and process integrity, give recommendations to improve performance, and automatically optimize interactions with robotics and automation.