The Outlets dashboard is the within-merchant comparison view. If you run more than one outlet under the same Papaya account, this is where you see them side by side — revenue share, AOV, meal duration, channel mix, top items, and time-of-week patterns by outlet.

Open it when you want to know which of your outlets is leading on a particular metric, which is dragging, and what the differences look like over time.

The dashboard is pinned to your merchant (your top-level Papaya account). Every chart shows every active outlet under that merchant. If your merchant has only one outlet there is not much to see here — use the Trends or Channels dashboards instead.

Many charts cap at the top 20 outlets by revenue and fold the rest into "Other" — relevant only for very large merchant groups.

Pie chart of revenue across outlets. Each slice is one outlet's share of the merchant's total revenue in the selected range.

How it's calculated: sum of orders.total on closed orders, grouped by outlet name. Top 19 outlets get their own slice; everything beyond falls into "Other".

The same pie but counting orders rather than revenue.

Reading it: compared with the revenue pie — an outlet with a much bigger order share than revenue share is selling more, smaller orders (often takeaway or delivery-heavy). The reverse means bigger tickets.

Average order value per outlet — bars side by side, highest first.

How it's calculated: revenue ÷ orders per outlet (on closed orders).

How long the average dine-in cheque stays open at each outlet, in minutes — measured as the time between order opening and closing. Median rather than mean so a single very long tab doesn't skew the number.

Reading it: a low number is fast turnover (counter / casual); a high number is leisurely dining. Use it as a sanity check on whether outlets are operating the way you expect.

Horizontal bars: revenue, segmented by channel (dine-in, takeaway, partner platforms, etc.), one bar per outlet.

Same shape, counting orders.

The 20 best-selling items across the whole merchant, with each item's bar segmented by outlet. Useful for spotting which outlets carry which signature items and where a popular item might be underrepresented.

Stacked bars: one bar per week, each segment an outlet. The merchant's total weekly revenue and how each outlet contributes.

One line per outlet showing AOV over time. Drift between lines tells you whether outlets are diverging in ticket size.

Average items on a cheque per outlet per week.

Note: the Yearly Revenue chart on this tab takes longer to compute than other charts; refer to the Monthly Revenue chart above for a near-equivalent view aggregated to whole years.

A 168-bucket view (7 days × 24 hours) of revenue, with each hour-of-week stacked by outlet. The labels along the bottom run Mon 00:00, Mon 01:00, …, Sun 23:00.

How it's calculated: bucketed by EXTRACT(ISODOW FROM reportingDate) and EXTRACT(HOUR FROM orderDate) in Bangkok time, summed by outlet.

Reading it: different outlets often have different weekly rhythms — an office-district outlet peaks weekday lunch; a mall outlet peaks weekend afternoons; a late-night spot fills evenings. Stack-shape differences are the giveaway.

Same shape, counting orders.