Bar Shift Report

The bar shift report is a dedicated block inside the shift X-report. It gives you an immediate view of how much the bar contributed during a specific shift — orders taken, revenue earned, payment breakdown, and any refunds — without digging through the full shift summary.

For club owners, this is the primary tool for spotting whether bar revenue is keeping pace with gaming traffic. For administrators, it is the end-of-shift reconciliation checkpoint before the till is closed.

How to access bar data

During an active shift: Shifts → current shift → X-report → Bar section. This is a live view that updates as orders are closed.

After closing the shift: The final X-report is generated automatically at shift close. It is saved to shift history and can be reopened at any time.

For the full shift close procedure, see Closing a shift in IZI.

What the Bar section shows

Bar revenue — the total of all closed bar orders for the shift. This is what customers paid; it does not subtract cost of goods.

Order count — how many times a bar order was opened and closed during the shift. One customer can place several separate orders, each counted individually.

Payment breakdown:

• Cash
• Card
• Bonuses (see top-up bonus guide)
• Customer balance

Refunds — if any paid orders were cancelled during the shift, the refund amount is shown separately. Net bar revenue = total orders − refunds. Gross and net figures are both displayed so you can see the full picture.

What to analyse as an owner

Bar share of total shift revenue. If bar contributes less than 10% of total shift revenue, either the menu is not matching demand or staff are not actively offering items. A typical range across clubs is 10–25%. Use this as a baseline, not a hard target — your venue’s format and traffic mix will shift it.

For the calculation method, see How to calculate bar share of revenue.

Revenue across different shifts. If the morning shift consistently outperforms the evening shift by a large margin, check floor occupancy and administrator activity. A common pattern: the evening cashier simply does not offer food or drinks while customers are gaming.

Order count vs average order value. These two numbers together tell you more than either one alone:

• Few orders, high average — customers buy rarely but spend well per visit. Priority: increase offer frequency.
• Many orders, low average — customers buy often but only one item at a time. Priority: suggest add-ons or upsell combinations (a take-more strategy).

Refund frequency. Occasional refunds are normal. If the same item generates refunds repeatedly, investigate — it often signals a quality issue or a gap between what the menu describes and what is served.

Analytics over a period

The shift X-report covers one shift only. To compare bar performance across days, weeks, or custom date ranges — and to see top-selling items over time — use Analytics → Bar. That section shows revenue trends and ranked product lists for any period you select.

To use analytics data to improve bar margins, see Bar margins: how to calculate and improve.

See also

• Bar orders flow — how each order moves from creation to fulfilment
• Shift X-report: field reference — full breakdown of every field in the X-report
• Bar margins — how to measure and improve bar profitability