Workscore.ai is an advanced system designed to optimize warehouse performance through objective evaluation and real-time monitoring.
By leveraging artificial intelligence (Al) algorithms, it evaluates employee efficiency by analyzing data collected from scanners and smart bracelets used in the warehouse.
This data includes factors such as attendance, movement behavior, and task completion rates.
The system then provides actionable insights to enhance workforce productivity and identifies areas for improvement.
With seamless integration into existing warehouse management systems and customizable features, Workscore.ai ensures a smooth and efficient operation tailored to the specific requirements of each warehouse.
Workscore.ai employs advanced Al algorithms to deliver objective evaluations of employee efficiency, eliminating bias and subjectivity from performance assessments.
It collects over 30 types of data from dynamic employee behavior, workplace scanners, tablets, computers, and the warehouse management system, directing them to an artificial intelligence module for comprehensive monitoring.
The system also evaluates the accuracy and adequacy of the tasks assigned by senior positions (team leaders, managers) to their subordinates, as well as the accuracy of the tasks performed by subordinates.
Team leaders can track employee movement behavior in real-time, including:
a. Trajectories within assigned work zones, indicating current zones and movement direction.
b. Frequency of visits to other work zones; notifications are sent when an employee leaves their zone.
c. Identification of movement hotspots, detailing frequented areas and times.
All this data can be viewed over specific periods for individuals or teams, facilitating comprehensive monitoring.
Future Preparedness: Through artificial intelligence, Workscore.ai swiftly learns each employee's work behavior, enabling it to evaluate their potential and recommend more effective roles and improvement strategies.
Right people in the right place
IDC states inefficiency costs 20-30% of revenue annually. 60% of warehouse operators cite employee inefficiency (NWA). OnePoll reports 26% of an employee's day wasted on tasks. SHRM finds 45% of employers deem 12-18% of workforce 'redundant'. Due to all these facts, warehouses lose an average of $300K to $1M per 100 employees annually. Workscore.ai optimizes efficiency, reducing losses.
Saving of up to $1 million USD annually
Workscore.ai effortlessly integrates with warehouse management systems, requiring no changes, minimizing time and cost investments. Tailored to warehouse specifications, the system ensures a seamless and comfortable operational experience.The integration enables an objective assessment of scanner and tablet usage effectiveness.
Efficiency increase 20-27%