Sales By Time

This screen provides a comprehensive analysis of sales data, detailing hourly sales figures, transaction counts, and items sold on specified dates.

 It also includes visual representations of sales trends for comparative analysis across multiple days, facilitating a clearer understanding of temporal sales dynamics.


Table Breakdown:

    • Hour: Time intervals for which sales data is recorded.
    • Sales: Total sales amount for each hour.
    • Transactions: Number of transactions completed within the hour.
    • Items: Total items sold during that hour.

    • Data Visualisation: Each row corresponds to a specific hour, allowing users to quickly identify peak sales times and transaction rates. For instance:
    • At 11:00, the sales peaked at 1,316.24 with 15 transactions resulting in 30 items sold.
    • Noticeable drops in sales can also be observed during less active hours.

Sales Trends Analysis

    • The right side of the screen displays line graphs representing sales performance across several days, emphasising patterns in customer purchasing behaviour.
    • Each graph corresponds to a specific day, allowing for quick comparisons.

Key Insights:

    • Peaks in sales often align with specific hours, giving insight into high-demand times.
    • Users can identify trends such as consistent high sales around lunchtime compared to slower late-afternoon periods.

How to Use

  1. Review Sales Data: Access the hourly data to determine when sales are highest and how many transactions are occurring at those times.
  2. Analyse Trends: Compare visual trends across different days to identify patterns or shifts in customer purchasing behaviour.
  3. Make Data-Driven Decisions: Utilise insights to inform scheduling, staffing, and marketing strategies tailored to peak sales hours.

Tips and Tricks

  • Focus on Peak Hours: Use data from hours with high sales and transaction volumes to optimise staff scheduling and inventory management.
  • Identify Promotions: Correlate time frames with promotional campaigns to evaluate effectiveness on sales patterns.
  • Visual Insights: Always refer to the graphical data alongside the table for better contextual understanding of sales fluctuations.

Conclusion

This Sales by Time screen equips users with vital data about hourly sales performance, enhancing the ability to make informed decisions based on real-time analytics. Regularly reviewing this data can lead to improved sales strategies and operational efficiencies through effective staff rostering.