VisiSoft Reporting Dashboards For Visitor Attractions

Sales Summary:

The sales summary focuses on EPOS revenue analysis at different intervals and against different periods. All the graphs come with a set of filters meaning different views can be quickly and easily created by the user.

• Stock Items – Clearly see what your best performing stock items are today, from which outlet and check remaining inventory.
• Users – See who your best sales staff are, and how they perform each day with an automated report. Use this data to allocate resource more efficiently.
• Tills & Terminals – Track performance across all of your POS units: tills, tablets or terminals to boost agility in increasing the average customer spend.
• Branches – At a glance see how all your locations are performing. Easily identify areas of growth and analyse under-performing sites.

Product Sales:

Product Sales focuses on product revenue to understand exactly which products are driving your performance.

• Best Sellers – Visually reflect on your top 10 best selling products enabling you to forecast better for the coming years.
• Product Performance – Analyse the performance of up to 5 products side-by-side to identify trends and affirm your purchasing decisions.

Other Dashboards:

The final sets of dashboards lets you deeper analyse transactions, customers and footfall giving you quick visual feedback on location-specific indicators.

• Transactions – The transaction dashboard focuses on transaction volume and provides a detailed transaction report.
  ○ Volume by till or user for a specified date range to identify the busiest tills/employees in the store.
  ○ Report on reference, till, date, branch, value etc.
• Customers – The Customer Dashboard builds a unique profile of transactions, average spend and collects valuable customer data for remarketing:
  ○ Customer addresses and contact details
  ○ Customer account balance if sold on credit
  ○ Review recent transactions, dates and frequency.
• Admissions – See daily footfall levels, compare against other periods and identify the busiest times of the day. Allocate staff resource correctly and forecast for seasonal change more effectively.