Episode 566: Evaluating warehouse employee performance with WorkScore.ai
Welcome to another episode of The New Warehouse Podcast, where we dive into a unique solution for evaluating warehouse employee performance. Alex Bilyan, Chief Sales Officer, and Rado Barss, Co-Founder and CEO of WorkScore.ai, join Kevin to explore how their innovative platform for workforce evaluations in warehouse operations.
WorkScore.ai objectively and transparently measures warehouse employee performance using movement and task completion data. By leveraging AI, warehouse leaders can gain real-time insights into worker efficiency, address common productivity issues, and reduce unnecessary labor costs. The conversation unpacks the power of AI-driven evaluations, data transparency, and how gamification reshapes employee motivation.
The Core Challenges of Warehouse Workforce Evaluation
Warehouse operations are often plagued by inefficiencies, particularly in performance tracking, motivation, and staffing allocation. According to WorkScore.ai’s research, three recurring issues consistently impact warehouse productivity:
- Lack of Transparency – Many employees feel undervalued when their hard work goes unnoticed. Without clear visibility, supervisors struggle to assess individual contributions, leading to low morale and reduced motivation.
- Inconsistent Performance Tracking – Traditional evaluation methods often fail to capture real-time performance data, making it difficult for employees to understand their strengths and weaknesses.
- Overstaffing and Cost Inefficiencies – Many warehouses use guesswork to determine labor needs. WorkScore.ai’s research found that one facility continuously lost $130,000 monthly due to unnecessary labor costs.
“If you’re working in a warehouse with 400 people and know your effort won’t be noticed, it’s tough to stay motivated,” Bilyan explains. By implementing real-time tracking, WorkScore.ai eliminates guesswork and brings accountability to workforce management.
AI-Driven Warehouse Workforce Evaluation
WorkScore.ai analyzes two key data points to generate employee scores:
- Movement Data – Tracks how efficiently employees navigate the warehouse, optimizing routes and minimizing wasted time.
- Action Data – Captures every task completion through warehouse management systems, assessing accuracy and speed.
This AI-driven approach doesn’t just score performance—it provides detailed feedback on efficiency indicators, empowering employees to improve. Unlike traditional tracking systems, WorkScore.ai focuses on evaluating individuals rather than just task completion rates.
“There are tools to measure processes, but we focus on employees themselves,” Bilyan emphasizes. The AI can identify patterns over time, ensuring fair assessments rather than relying on single-day performance fluctuations.
Additionally, new AI-powered camera tracking replaces wearable devices, reducing operational costs and improving data accuracy.
Empowering Employees Through Transparency and Gamification
One of the biggest concerns around employee tracking is privacy and fairness. WorkScore.ai tackles this challenge by prioritizing worker transparency and control:
- Employees See Detailed Performance Data – Workers have full access to their efficiency breakdown, ensuring they understand where they excel and where they can improve.
- Supervisors Only See the Score – Management cannot see detailed individual metrics unless the employee grants access.
- Gamification Boosts Morale – Implementing performance-based bonuses dramatically increased worker buy-in. For instance, after introducing cash incentives for top performers, opposition to tracking dropped to nearly zero.
“We saw that when employees realized their efforts were being recognized and rewarded, their resistance to tracking disappeared,” Bilyan explains. This system fosters healthy competition and increases engagement without creating a punitive work environment.
Key Takeaways on Measuring Warehouse Employee Performance
- Warehouses lose significant revenue due to inefficient workforce management—one example cited a $130,000 monthly loss due to poor staffing decisions.
- AI-driven performance tracking creates objective evaluations, eliminating bias and providing real-time insights into workforce productivity.
- Movement and task data generate a holistic work score, ensuring a fair warehouse employee performance evaluation.
- Privacy and transparency are top priorities—employees control who sees their performance details.
- Gamification and performance-based rewards increase worker engagement and reduce turnover.
