AI-Driven Workforce Planning Increases In-Store Engagement by 3% and Reduces Costs by 8% for Global Cosmetics Leader
A global leader in the cosmetics industry partnered with Fuld & Company to optimize its in-store workforce planning. By implementing an advanced workforce planning solution that integrated historical sales data, foot traffic patterns, and other key performance metrics, we utilized AI-driven algorithms to accurately forecast customer demand. This approach enabled optimal staffing adjustments, ensuring the right number of staff was available during peak hours, leading to increased customer engagement and cost savings.
Fuld’s AI-Driven Workforce Planning Strategy Delivered Significant Results:
- 8% Cost Savings from Optimal Staffing: AI-driven demand forecasting and real-time staffing adjustments led to 8% savings in labor expenses while maintaining high service quality.
- 3-Point Increase in Customer-Staff In-Store Engagement: Optimal staffing during peak periods resulted in a 3-point increase in customer engagement, fostering a better shopping experience and higher satisfaction.
- Improved Operational Efficiency: Real-time staffing adjustments ensured efficient use of labor resources, streamlining operations and enhancing service levels during high-traffic times.
How We Did It
Fuld & Company designed a comprehensive AI-driven workforce planning strategy to optimize in-store staffing and improve operational efficiency:
- Integration of Historical Sales and Foot Traffic Data
We integrated historical sales data and foot traffic patterns to understand customer shopping behaviors, peak shopping hours, and seasonal trends. This enabled us to develop accurate demand forecasts, identifying high-traffic times and sales peaks across store locations.
- AI-Driven Demand Forecasting
Using AI algorithms, we predicted staffing needs for each store, factoring in promotions, seasonal changes, and local events. This ensured stores had the right number of staff at the right times, preventing both understaffing and overstaffing.
- Dynamic Staffing Optimization
The AI system provided real-time recommendations for staffing adjustments, allowing store managers to make informed decisions on staffing allocations. This ensured a balance between efficient customer service and cost control.
- Enhanced In-Store Customer-Staff Engagement
By ensuring adequate staffing during busy periods, customers received personalized attention, improving the overall customer experience and fostering increased engagement with the brand.