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Staff and restock from numbers that update as orders close.

Every completed sale feeds sales charts, busy-hour views, payment mix, top sellers, and shift comparisons, without waiting for an overnight export. Read today's rush, then ask a follow-up when something looks off.

Analytics & Insights

Sales performance, period comparisons, and item-level trends.

OverviewPeriod insightsAI Brief

Total sales

$4,280

+12% vs prior period

Total orders

186

+8% vs prior period

Take out

$1,940

+5% vs prior period

Delivery

$620

+14% vs prior period

Sales by order type

Last 7 days

Payment mix

Last 7 days

  • Card68%
  • Cash24%
  • Gift card8%
  • Live

    From sales

    Charts update as orders close. Not overnight

  • Mix

    How guests paid

    Channel and payment splits beside the trend

  • Ask

    Then dig deeper

    Continue from a summary or chart into plain-language chat

What your team actually opens

These are real product screens, not mockups of a mockup. Scroll through the same views managers and floor staff use during a shift.

  • Today's numbers at a glance

    Total sales, orders, take out, and delivery with payment mix. Refresh as tickets close, not overnight.

  • Prove the drawer against sales

    Compare counted cash to settled sales on the same screen managers check before they leave.

  • What actually sold

    Rank products by revenue, units, or order count so you know what to restock and what to cut.

  • This week vs last

    Compare today, this week, this month, or this year to the prior window for sales and channels.

  • Ask about your data

    Start from a playbook question, then dig into a slow rush or location gap in plain language.

Questions owners ask when the rush is over

Built for the moments after service when you need an answer tonight, not after someone builds a report tomorrow.

  • Card payments jumped Thursday but total sales barely moved. Should I add more staff?

    Check channel mix first. A delivery-heavy day can raise card share while average ticket drops. Reports show both the trend and the split so you staff the right stations.

  • Which hour should we prep double batches for Friday?

    Set the range to last Friday, view by hour, and read the busy-period chart. Peak windows show where orders piled up, not just where revenue peaked.

  • Add-ons fell after 8 PM. Catalog issue or staffing?

    Item reports show add-on sales by item and time. Pair with an AI summary that checks timing so you see whether staff skipped prompts or product ran out.

From sales to decision

  1. 01

    Choose the date range

    Today, this week, a billing period, or any custom range. Reports add up completed orders inside that window.

  2. 02

    Read the trend

    Plot sales and order volume over time. Change the view to move from seasonal direction to a single rush hour.

  3. 03

    Check the mix

    Channel and payment splits show how customers ordered and paid.

  4. 04

    Drill to items and shifts

    Open item reports for catalog answers, or reconcile closed shifts against drawer counts.

  5. 05

    Ask the next question

    Launch Ask AI from Reports or continue in chat. Follow-ups stay grounded in your sales and catalog data.

  • Sales over time by hour, day, week, or month from one live data source

  • Summary cards for total sales, order count, take out, and delivery on any date range

  • Channel mix from how orders actually closed, not a separate report

  • Payment mix (cash, card, and other channels) beside the same trend chart

  • Top sellers, slow movers, and add-on performance by item

  • Home dashboard KPIs that refresh as the floor settles tickets

  • Shift reconciliation: compare drawer counts to order totals after close

  • Ask follow-up questions: compare locations, spot a slow rush, or dig into add-on drops

  • AI briefings and chat grounded in your sales. Not generic business advice

Zoom from the whole business to one busy hour

Start with this week by day. Switch to hour for Tuesday lunch without leaving the chart. Same sales data, no reconciling two reports.

Payment mix tells you why sales moved

When card share spikes but total sales look flat, channel splits show whether order size shrank or the floor got busier. A staffing signal, not just accounting.

Catalog truth from item and add-on sales

Item reports show which products carry the day and which add-ons sell with them. Slow movers surface before they become a month-end surprise.

Close the drawer, then prove the night

Shift reconciliation matches what the register sold against what was counted in the drawer, so gaps show up before you leave. Not in next week's spreadsheet.