PREPARED FOR

Ember: Red-Flags Audit

We reviewed the last 12 months to find recurring problems, then checked the latest four weeks in detail. Open any number to see where it came from.

LookbackTrailing 12 months
(Jun 2025 – May 2026)
Deep-diveApril 14 – May 11, 2026
Scope4 locations - 5 data sources
Prepared byADC Operations

Overview

Profit pace by store

Each bar shows how close a store is to the 7% profit target on its own sales. Store A is hitting it; Store C has the biggest gap.

Based on the 7% profit target applied to each store’s actual four-week sales. These store numbers add up to the totals at the top.

The five patterns

Biggest costs first. The bars show when each problem started and whether it is ongoing or recent. Tap a confidence label to see where the number came from.

Choose the actions you want to take

Switch on an action to add it to the plan. The dollar figure counts only the stores where we actually found the problem. You would run the same action at your other stores to stop it from starting there too.

Recent monthly profit ~$22,490 / mo Average for the latest three months.
Monthly cost the chosen actions could save ~$0 / mo 0 of 5 actions selected
Profit at 7% target $34,860 / mo 7% of $498K in monthly revenue across all locations.
$0~$12,450/mo in costs found

This total is the cost tied to the actions you picked, not a profit forecast. What you actually keep depends on how and when each action gets done.

The costs we found (~$12,450/mo) land about $50 above the gap to a 7% margin (~$12,400/mo), purely because the store numbers are rounded. For voids we count only the ~$690/mo we can prove right now; the real number may be higher once receipts are reviewed.

Exposure ledger

Leakage is money that is already walking out the door, measured per month.

Exposure is a risk we can see but cannot put a full price on yet. When the data proves part of the cost, we show that part. The rest stays unknown until someone digs into the cause.

Sorted by how much the reports can actually prove. Tap any item to see what we know, what is still unclear, and what to look at next.

How to read this section: the items here are patterns worth running by your attorney, HR advisor, or insurer. ADC points out what shows up in your operating data. It does not rule on compliance, and nothing here is a finding that any law was broken or that anyone did anything wrong.

How this analysis was built

We used the reports you already keep plus details only you could provide. We reviewed 12 months to find recurring problems, then checked the latest four weeks in detail. If the data could not confirm something, we left it out instead of guessing.

Factual data: reports you keep

    Your context: what only you know

    • Working targetsThe 4.1% discount target, void guidelines, and waste thresholds come from your own benchmarks.
    • Policy statusComp policy and POS approval-rule status, confirmed during the review.
    • Staffing templateThe posted weekday template used to confirm the labor pattern.
    • Known one-offsConstruction, weather, a short-staffed week: flagged by you so they are not misread as drift.

    Held back if absent, never guessed.

    The pipeline

    1ReconcileClean and line up every export so the systems agree on what happened.
    2BenchmarkYour strongest store sets the bar for each number; the last 12 months and the same period last year separate seasonal swings from real drift.
    3GradeEvery finding carries a confidence tier so you know how hard to lean on it.
    4SurfaceThe pattern, the dollars attached, and the first move. Decisions stay with you.

    Confidence tiers

    HighComplete data for that category and period, plus context you confirmed during the review.
    MediumComplete data but nothing from you to confirm it, or partial data with strong supporting context. We show the reasoning so you can weigh it, and each medium finding says what would move it to high.
    LowCounts only half toward any performance guarantee. None appear in this report; it holds to high and medium only.

    The trail, flag by flag

    Open any flag to follow its number from raw data to final dollar figure. Each number has its own benchmark: Store A sets the price benchmark on the shared vendor account, but still has its own weekday labor overage.

    What this analysis does not cover: anything outside the data provided. Things like a new competitor, nearby construction, weather, or a short-staffed week are not captured unless they showed up in the numbers. Figures are directional until checked against the source systems. ADC surfaces operating patterns; it is not a formal financial or compliance audit.