Capacity Planning by Day

Analyze staffing needs based on seasonal demand. Historical data: {{paste_12_months_of_jobs_by_type_and_date}}. Predict: Jobs expected next week by day. Recommended technicians to schedule. Red flags: Potential bottlenecks or under-utilization. Output: Staffing recommendation table. Days forecast exceeds/falls short of capacity by {{number}}.

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