Benefits
It analyzes historical footfall data and special event schedules to predict traffic by zone, section, and shift. It then compares predicted demand with current staffing to classify sections as Understaffed, Sufficient, or Overstaffed. It highlights urgent needs and suggests staff reallocation accordingly.
Problem Addressed:
This agent addresses inefficiencies in retail staffing by aligning workforce allocation with predicted footfall. It reduces understaffing risks during peak hours and prevents resource waste from overstaffing in low-traffic zones.
What the Agent Does:
It analyzes historical footfall data and special event schedules to predict traffic by zone, section, and shift. It then compares predicted demand with current staffing to classify sections as Understaffed, Sufficient, or Overstaffed. It highlights urgent needs and suggests staff reallocation accordingly
Standout Features:
• Hourly footfall prediction using historical and event-driven trends
• Real-time staffing sufficiency analysis with reasoning
• Urgency scoring for immediate leadership attention
• Actionable reallocation recommendations with impact projections
