The restaurant business is a fast-paced, competitive industry. As a multi-location restaurant manager, you are probably already monitoring daily sales figures and profits for each restaurant. Tracking figures like average check size, cost of labor and the cost of food versus sales are important, but they are not enough.

WiSDoM Food & Beverage BI (v2.1) allows fast and in-depth KPI analysis in the following categories:

Sales Revenue

Revenues are one of the most critical indicators of success for any business. In a single consolidated dashboard one can analyse the net sales, gross sales, service charge, tips, discounts, voids and error corrects.

Order Types

Different order types(e.g. Dine-In, Take Away, Delivery) can be analysed and compared by various attributes such as sales, guest count, average/guest, check count, average/check, table count, average/table and average table turn around time. Cash Collected is drilled-down by Payment Types.

Sales Per Head (or average check size)

Analyse sales per head during breakfast, lunch and dinner hours. The restaurant can also track their sales per head each week or month, looking for various positive or negative trends.

Sales Per Hour

Tracking sales per hour helps monitor staff productivity.

Table Revenue

This KPI measures the average sales from each table on any given period.

Historical Sales & Target Comparisons

Current sales can be compared to historical sales and to sales targets. This KPI can be tracked by day, week, month, year and even for a specific period.

Waiter Benchmarks

Waiter Performance

There are many ways to track waiter performance that can help evaluate productivity and identify strenghts or weaknesses. The waiter dashboard provides metrics like net sales, average sales per guest, table count served per waiter, number of guests served and average table turn time.

Waiter Monitoring

Discover how often error corrects, discounts and voids occur, who is performing these errors and analyze dates and times of their occurrences to try to establish if patterns exist.

Cost Management

Discover how often error corrects, discounts and voids occur, who is performing these errors and analyze dates and times of their occurrences to try to establish if patterns exist.

Product Mix Analysis

Discover how often error corrects, discounts and voids occur, who is performing these errors and analyze dates and times of their occurrences to try to establish if patterns exist.

Admin Finance

Discover how often error corrects, discounts and voids occur, who is performing these errors and analyze dates and times of their occurrences to try to establish if patterns exist.