Every report myAnalyst runs from your POS, avg ticket, throughput, drive-thru times, daypart, food cost %, labor, voids and discounts, and franchisor reporting, refreshed in near real-time across all your stores.
myAnalyst reads your POS read-only and refreshes in near real-time, so these reports reflect live trading, not yesterday's export. Reports are grouped by the team that uses them, Operations, Cost & Finance, Loss Prevention, and Franchisor Reporting, plus cross-cutting tools every store touches: Store Health, Pacing, the Wall of Records, and Signals.
The numbers above-store leaders and shift managers run on daily. Each pulls live from LiveStats and rolls up by store, market, or franchise entity.
Net sales, transactions, and average ticket (~$11.85) per location with year-over-year deltas, color-coded so outliers stand out. See which stores upsell combos and which leave the second item on the table.
Transactions per operating hour (~92/hr) by store and daypart. Spot the stores that stall at lunch rush and the ones holding 100+/hr through noon.
Average order-to-pay and total service time from POS timestamps, by store and daypart. Flags windows that creep past target at peak so you can staff up before the line backs up.
Sales, transactions, and avg ticket by breakfast, lunch, afternoon, dinner, and late-night. Compare each store's daypart mix to the brand to see where breakfast business is won or lost.
Labor cost as a percent of net sales by store, plus sales-per-labor-hour and transactions-per-labor-hour. See which stores are overstaffed in slow hours and which run lean through peak.
Use the Report Builder to build the exact operations view your team needs, combo attach rate, upsell mix, average items per ticket, and save it as a tracker your DMs open every morning.
Today vs last year for every store, in near real-time: net sales, transactions, avg ticket, throughput, and labor %. Below is a sample Operations grid for a QSR portfolio.
| Store | Net Sales | Txns | Avg Ticket | Thru/hr | vs LY |
|---|---|---|---|---|---|
| 3104 Morgantown | $9,480 | 812 | $11.67 | 101 | ▲ 8.4% |
| 2087 Holler Lane | $8,910 | 742 | $12.01 | 96 | ▲ 4.7% |
| 5521 Frankland | $7,030 | 604 | $11.64 | 88 | ▲ 2.1% |
| 4410 Poplar | $5,920 | 508 | $11.65 | 79 | ▼ 5.6% |
| 3318 Dent | $5,640 | 463 | $12.18 | 74 | ▼ 3.0% |
Where the profit lands. From the Financials module: food cost (~29.4% of net sales), how guests pay, and every dollar in and out of the drawer.
Cost of goods as a percent of net sales by store, tracked against a ~29.4% target and flagged when a location drifts. Pair with avg ticket and throughput to see whether a miss is waste, mix, or portioning.
Sales by tender, cash, credit, debit, mobile, gift, and third-party delivery, by store and daypart. See how fast cash is shrinking and where delivery commissions eat into effective ticket.
Every paid-in, paid-out, and credit memo logged by store, drawer, and reason. A clean trail for petty-cash spend and refunds, no re-keying register tapes.
The Auditing & Compliance module turns events your POS already logs into ranked exception reports, by store, drawer, and employee, so patterns surface in days, not at year-end.
Voids and manual discounts ranked by store and employee, with rate per transaction and dollar value. Surfaces the cashier running triple the brand discount rate and the manager-override patterns that need a conversation.
Cash over/short for every drawer close, ranked by store and operator. Repeat shorts on the same drawer or shift float to the top automatically.
Orders rung and cancelled before tender, by store, register, and employee. A spike on a single drawer is a classic tell, and this report makes it visible.
Drawer opens, closes, and no-sale events with timestamps and operator. Pairs with over/short to show whether a shortage lines up with an unusual no-sale pattern.
Tracks how completely each store captures the data that matters, loyalty IDs, daypart tags, drawer assignments. Clean capture makes every other report trustworthy.
Search any transaction across every store by amount, time, drawer, or tender. The fast way to settle a guest dispute or chase down an exception flagged in an audit.
The hardest reporting is the kind you owe someone else. The Data Pipelines add-on automates it, consolidated, validated, and on a schedule.
A scheduled feed that pushes net sales, transaction counts, daypart splits, and tender mix to the franchisor portal or BI tool in the brand's required format. No more exporting and re-typing every period.
Roll several franchise entities, DBAs, or LLCs into one set of totals, net sales, food cost %, labor %, and avg ticket, while each entity still reports on its own. One number for the brand, full detail for you.
Pipelines connect to Salesforce, HubSpot, franchisor portals, and BI tools. Ask about your brand's reporting format on a demo.
The tools that turn everything above into a decision. Store Health scores every location 0 to 100; Pacing projects each store to month-end against budget.
A 0 to 100 score and A to F grade per store from five weighted pillars, Growth 25%, Goal 25%, Loyalty 20%, Standing 15%, Operations 15%, ranked against your brand. Scan the portfolio in seconds, drill into any store in one click.
Month-to-date pace against budget with shape-adjusted projections and an ahead / on-track / behind status per store. Know on the 12th whether a store will make its number, not on the 1st of next month.
Every QSR location gets a single 0 to 100 score built from the metrics on this page, ranked against your brand. The sample below shows a store with strong throughput and labor but operations that need attention.
Two reports your stores feel every day: the records board's friendly competition and SMS Signals that reach a manager without anyone opening a dashboard.
All-time single-day sales and transaction records per store, plus current-period rankings on net sales, avg ticket, and throughput. The leaderboard managers chase and top stores defend.
Threshold alerts texted to the right manager the moment a KPI moves, a store behind budget pace at 11:00 AM, a void rate spiking on one drawer, or a daypart running cold. No app, no dashboard to refresh.
Search a ticket or invoice and see the full line items and payment. Try it.
Yes. myAnalyst reads the timing data your POS captures, order, total, and pay timestamps, and turns it into store-by-store drive-thru and service-time reports by daypart. See which stores slow down at lunch and which hold their window times.
myAnalyst surfaces food cost % wherever cost-of-goods data is available in your POS or back-office feed and shows it against net sales by store, so a ~29.4% target is tracked and flagged when a location drifts. Where COGS lives outside the POS, a Data Pipeline add-on can bring it in.
Yes. The Data Pipelines add-on can push consolidated, validated figures to a franchisor portal or BI tool on a schedule, and multi-entity consolidation rolls several franchise entities into one set of totals for reporting.
myAnalyst reads your POS read-only and refreshes in near real-time, so avg ticket, throughput, and daypart sales reflect live trading. Signals can text a manager the moment a KPI crosses a threshold without anyone opening a dashboard.
Every module behind these reports: LiveStats, Store Health, Pacing, Financials, Auditing, and the Report Builder.
Explore the platformConsolidate dozens of stores into one live, ranked view for above-store leaders.
Multi-location dashboardsDefinitions for every metric on this page, plus the other industries myAnalyst is tuned for.
Open the glossaryBook a 30-minute demo and we'll stand myAnalyst up on your QSR POS data, avg ticket, throughput, food cost %, daypart, and franchisor reporting, live across every location.