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From our own stores

What we learned running our own stores.

OpsIntel was built on our own restaurants first. These are four things the numbers showed us, and how we use the product each week. No figure on this page is from our restaurants: the screens are the real product on invented data.

Two questions, and where each one shows.

  1. Marketplace deductions

    Do our marketplace statements tell the same story as our sales reports?

    What stood out
    On sales, the statement and our own reports agreed closely. On what was taken out before the payout, they did not, and the difference had to be read line by line.
    A marketplace keeps its own dates and takes out commission, the offers the store funded, ad fees and adjustments before it pays. The register records the sale, not what is taken out of it. So we set the two beside each other for a whole fiscal period, with every reason they can differ on its own line: orders after midnight that fall on another business day, offers we funded, price cuts on brand promotions, and orders the register has that the statement does not. Whatever no line accounts for is printed as an unexplained difference.
    The next check
    Open the store that stands out and read its statement beside the register: commission, the offers it funded, ad fees and adjustments.
    One line of a list, tagged Unusual deductions, for 1005 Northgate. DoorDash deductions 27.4% vs 20.2% median, about $1,377.20 more than at the median rate. The largest component is commission, −$4,752.54. Compare the bridge with the other stores.
    Where it shows: Marketplaces · stores listed under Needs attentionOn the demo company, one store’s DoorDash deductions read 27.4% against a 20.2% median, with commission named as the largest component.
    Marketplaces, step by step
  2. Loss counted twice

    Is our loss total counting anything twice?

    What stood out
    Refunds, cancelled orders and voided orders each had their own line, and our own loss total added them together. The refund line turned out to be the cancelled and voided orders again, with sales tax on top.
    Each refund was money returned for an order that was already in our loss total as cancelled or voided, so each of those orders was in the total twice. The Loss and Refunds screen now prints payment refunds beside the total, says they are for the same orders, and does not add them.
    The next check
    Read refunds beside the loss total, not on top of it. Then look at which days carry them.
    Midtown’s total loss for fiscal period 8: $3,314.85, the net sales of bad, cancelled, zeroed and refunded orders. Under it the screen says payment refunds of $3,384.64, including tax, are for the same orders and are not added.
    Where it shows: Loss and Refunds · one store’s total for a fiscal periodOn the demo company: a total loss of $3,314.85, with payment refunds of $3,384.64 printed under it as the same orders and not added.
    Loss and Refunds, step by step

Actual OpsIntel screens · invented data for an invented company, not our own stores

In our own restaurants

Two more, from our own books.

These two are our experience as operators, and the reason accounting is part of OpsIntel.

  1. In our own restaurants

    Labor read on three bases did not rank our stores the same way.

    In our own restaurants we can read labor from three places: the wages on the store’s time clock, the labor booked in our accounting ledger, and the labor line on the franchise P&L. Each carries something the others leave out, and the three did not put our stores in the same order. On the ledger, one store looked highest because a supervisor who covers several stores had their whole salary booked to it. So before we call a store high on labor, we say which labor we mean.

  2. In our own restaurants

    Our books and our franchise reporting did not agree on every line.

    In our own restaurants we set the P&L from our books beside the operating P&L from franchise reporting, for the same periods. Some lines did not agree, and each difference was something to check with our bookkeeper before we acted on either figure. It is why OpsIntel integrates with accounting software: the complete numbers give the correct operating targets.

Every week

How we use OpsIntel

Each week our system sends a weekly review built from these same screens: what changed, where cost built up and what to check first. Nobody downloads a report to write it.

When something needs attention, such as a time-clock pattern, a discount code used outside its rules, or cash and voids that do not line up, our system sends an alert with the store, the shift and the numbers behind it.

Read an example weekly review

Bring the question your reports cannot answer.

The demo is thirty minutes on the live product.