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Retail
Retail Chain Optimizes Workforce Management
Client: National Retail Group
Location: United States
National Retail Group revolutionized their staff scheduling with AI, achieving significant labor cost savings while improving customer service quality.
Key Results
35%
Improvement in labor efficiency
25%
Reduction in overtime costs
90%
Employee satisfaction
15%
Improved customer satisfaction
The Challenge
Inefficient staff scheduling leading to overstaffing during slow periods and understaffing during peak times, resulting in high labor costs and poor customer service.
The Solution
Implemented predictive workforce management system using historical data and real-time analytics for optimal scheduling.
“Labor costs are down significantly, but employee satisfaction is up. The scheduling is more fair and predictable now.”
Thomas Miller
VP of Operations, National Retail Group
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