Weekly Store Operations Performance Summary

Track and analyze key store performance metrics including sales, operational efficiency, and customer satisfaction to optimize store operations and identify areas for improvement.

Report Objective

Monitor and evaluate store performance across sales, operations, and customer service dimensions on a weekly basis to drive operational excellence and identify improvement opportunities. Focus on key metrics including sales performance, inventory management, labor efficiency, and customer satisfaction.

Sales Performance Trends

Analysis of weekly sales performance and transaction metrics

Questions to Consider:

2024-03-012024-04-012024-05-01week_date$500,000$1,000,000$1,500,000total_sales vs. transaction_counttotal_salestransaction_countHow are Weekly Sales and Transactions Trending?Track total sales and transaction volume patterns
  • What is the week-over-week change in total sales?

  • How do transaction counts correlate with total sales?

  • Are there any seasonal patterns in sales performance?

  • Which departments are the top performers?

  • Are there departments showing concerning trends?

  • How balanced is sales distribution across departments?

ToolsLumberPlumbingElectricaldepartment$0$1,000,000$2,000,000$3,000,000$4,000,000$5,000,000sum(department_sales)sum(department_sales)Which Departments are Driving Sales Performance?Compare sales contribution across departments

Operational Efficiency

Evaluation of key operational metrics including inventory and labor management

Questions to Consider:

2024-03-012024-04-012024-05-01week_date5.05.25.4inventory_turnoverinventory_turnoverHow Efficient is Our Inventory Management?Track inventory turnover rates over time
  • What is the trend in inventory turnover?

  • Are we maintaining optimal inventory levels?

  • How does turnover compare to target rates?

  • Are labor hours properly aligned with store needs?

  • What is the trend in labor hour utilization?

  • How do labor hours correlate with sales performance?

2024-03-012024-04-012024-05-01week_date01,0002,0003,000labor_hourslabor_hoursHow are We Managing Labor Hours?Analyze labor hour allocation trends

Customer Experience Metrics

Analysis of customer satisfaction and service levels

Questions to Consider:

2024-03-012024-04-012024-05-01week_date89.089.590.090.5customer_satisfactioncustomer_satisfactionHow Satisfied are Our Customers?Monitor customer satisfaction trends
  • What is the trend in customer satisfaction scores?

  • Are there any concerning patterns in satisfaction levels?

  • How does satisfaction correlate with other performance metrics?

Areas for Additional Focus