When I was running multi-unit tire and auto service stores for Bridgestone/Firestone, every morning at 6am I had three people — yes, three full-time employees — building the same spreadsheet. By the time store managers walked in the door, the previous day's numbers were waiting in their inbox. Sales by store. Sales by advisor. Service mix. Tire protection attach rates. Alignment conversion. Everything.
It cost real money. But I couldn't run the business without it. What I've learned talking to hundreds of multi-unit operators since then is that almost none of them have this level of daily operational visibility — not because they don't want it, but because the labor cost to build it manually is prohibitive. So they settle for weekly or monthly summaries. Which is the same thing as flying blind at 200 miles an hour.
This post lays out exactly what should be in a daily 6am operations report for a multi-unit auto repair or tire shop business. If you don't have one today, this is the standard to measure against.
Why Daily (Not Weekly, Not Monthly)
Weekly reporting is better than none, but it's still retrospective. By the time a store manager sees "last week was soft," the week is gone — and so is next week's chance to course-correct. Monthly reporting is worse: you're looking at lagging indicators a month after you could have done anything about them.
The right rhythm is actually twice a day. A nightly operations report that goes to every stakeholder the moment the day closes — so you know whether today was a win or a loss before you go to sleep. Then a full morning package delivered by 6am with the previous day's complete detail, store-by-store and advisor-by-advisor, so managers walk into the shop with yesterday's scorecard in hand and a coaching plan for today.
Three Levels of Reporting (Every Day, All Three)
A real daily operations report has to cover three layers simultaneously. Not one. Not two. All three, every morning:
- Market / Company level — the whole business in one view. Every store rolled up, with YoY deltas. For leadership.
- Store level — each location's numbers, side by side. For district managers and store managers.
- Advisor level — each service writer's numbers per day. For managers coaching their teams.
Miss any of the three, and you're missing part of the business. Market-only reporting lets weak stores hide in averages. Store-only reporting lets weak advisors hide in store totals. Advisor-only reporting loses the strategic view. You need all three levels, from one source, delivered at the same time every morning.
Market / Company Level — The 22 KPIs Every Morning
This is the one-page view of the entire business. What I measure every day, what every multi-unit owner should measure every day, with month-to-date values and year-over-year deltas:
- Volume: Invoices, Customer Count, New Customers, Retail Email Capture %
- Revenue composition: Parts $, Parts GP $, Parts GP %, Labor $, Labor Average, Labor Hours, Effective Labor Rate, Supplies, Discounts
- Tires: Tire Units, Tire Sales $, Tire GP $, Tire GP %, Retail Road Hazard %
- Performance: Average Repair Order, Total Sales, GP $, GP %, Month Projection
Every number has a +/- vs the same period last year. No exceptions. A standalone number tells you nothing; a number with a YoY delta tells you whether you're winning or losing. When I see "Tire Units +76.2%" and "Tire GP % -8.9%" on the same report, I know we're pushing volume at lower margins — that's a real insight I can act on. Without the deltas, it's just data.
Store Level — One Line Per Location
Same KPIs, one line per store, side by side. This is the view that lets a district manager spot outliers in 30 seconds. Two stores serving the same type of customer, same demographic, same vehicle mix — if Store A is running 58% GP and Store B is running 47%, something is broken at Store B and the DM needs to know today, not next month.
The store-level report should include:
- All 22 KPIs from the market level, one row per store
- YoY delta on every single value (so you can see not just who's winning but who's slipping)
- Month projection based on current run rate (so underperforming stores can be flagged before end-of-month)
- Full year-over-year detail — yesterday's number, last year's number, and the +/- between them
This is also the report that catches operational issues a manager would otherwise miss. A store's Labor Hours dropping -75% while invoices dropped only -72%? Somebody's off work or there's a tech productivity issue. A store's Discounts line doubling? Something's happening at the counter that needs to be understood.
Advisor Level — 30+ Services Tracked Per Writer
This is where coaching happens. The advisor scorecard has to be granular enough that a store manager can walk up to a service writer and say "Yesterday you had 10 potential alignments and sold 3. Last week you were at 8 of 10. What changed?" That conversation requires data at the service-writer level, not the store level.
A real advisor scorecard tracks:
- Top-line: Invoices, Sales, Avg Spend, GP $, GP %
- Tire conversion: All Tires, Retail Tires, Tire Protection units, Tire Protection %
- Alignment conversion: Potential Alignments (based on wheel/tire work), Alignments Sold, Alignment %
- Brake attach rate: Brake Flush-to-Brake-Service % (how often a brake job includes the flush)
- 30+ individual services performed: Alignments, Brake Service, Brake Flush, Oil Change, Engine Air Filter, Cabin Air Filter, Coolant Flush, Differential Service, Fuel System Service, Power Steering Flush, Transmission Fluid Service, Shocks & Struts, Wiper Blades, AC Service, Battery, Battery Service, Belts, Climate Control, Complete Vehicle Inspection, Engine Performance Service, Fuel Additive, Fuel Filter, Headlight Restoration, Hose Replacement, Nitrogen, Premium Alignment, Premium Oil Change, Spark Plug Replacement, Synthetic Blend Oil, Synthetic Oil Change, Timing Belt, Tire Balance, Tire Rotation, TPMS, Transfer Case Service
That granularity matters because ARO alone hides the story. Advisor A and Advisor B can both run $500 ARO — but Advisor A built that number on 20 alignments and 15 brake flushes, while Advisor B built it on 1 expensive job and a lot of hoping. Advisor A is building a sustainable business; Advisor B is running transactional. The scorecard shows you the difference.
The Nightly Operations Report — So You Know If You Won
The nightly report is short, visual, and goes to every stakeholder of the business — owners, district managers, store managers, executive team. One branded image. Three lines per KPI, for every store and for the market as a whole:
- TODAY — what happened today
- MTD — where the month stands
- B/W YoY — Better or Worse than the same period last year, colored red or green
Same KPIs as the morning package, compressed into a scan-in-30-seconds format: Invoices, Sales, GP Dollars, Avg GP$, GP Percent, Tire Units, TPP, Tire Sales, Tire GP$, Tire GP%. Market totals at the top. Each store below. Red means you're behind last year; green means you're ahead. It's on your phone before you sit down for dinner.
The power of this is simple: you always know if you won or lost every day. Not at end-of-week. Not at month-end. Tonight. When one of your stores is showing a big negative invoice swing with red deltas across the board, you don't need a meeting to tell you something's wrong — you just saw it. Tomorrow's huddle writes itself.
The Morning Package — For Action and Coaching
The morning report is the operating detail that goes to anyone who has to take action during the day — store managers, district managers, service advisors. Three artifacts, one email, 6am every day:
- MTD dashboard image — the 22-KPI month-to-date visual with YoY deltas, readable on a phone at the breakfast table.
- Operations spreadsheet attached — store-by-store detail with YoY, ready to filter and sort. Yesterday sheet + Year-over-Year sheet + month projection.
- Services spreadsheet attached — per-advisor scorecard across 30+ service categories, plus store and market rollups. The data the store manager uses in morning coaching.
Both spreadsheets are Excel format — sortable, filterable, not locked PDFs. Managers need to be able to sort advisors by ARO, filter for only the bottom 20%, pull their own views. Static reports are dead on arrival. Live data is how coaching happens.
The combination is what makes it work: nightly for awareness, morning for action. You never go to bed not knowing. You never walk into the shop blind.
The Third Pillar — Full Transactional Detail, On Demand
Nightly and morning reports answer the questions most operators ask every day. But the best operators eventually want to run custom analyses that go beyond any packaged report: Which advisors have the biggest gap between what was recommended and what sold? Which technicians are our most productive on brake jobs? What's the real margin on Goodyear vs. Michelin at Store 4? What's our coolant flush attach rate on vehicles over 100K miles?
Answering those questions requires raw transactional data — invoice-level and line-item-level — exportable, structured, and ready for BI tools or AI analysis. This is the third pillar of a real daily operations program. A complete Invoice Detail export should include:
- Invoice-level: Invoice ID, Date, Store, Customer (name, phone, address, email, Lifetime Visits, Lifetime Spend, Avg Spend, customer type), Vehicle (year/make/model, VIN, plate, mileage), Service Advisor, Maintenance Hunter flag, Invoice Total, Tax, Discount, Cost, Profit $, Profit %
- Line-item level: Item Type (Labor/Part/Tire), per-item Service Advisor, Technician 1, Technician 2, Line Number, Part Number, Code, Description, Vendor, Quantity, Tires/Parts/Labor totals and costs, Item Total, Item Cost, Item Gross Profit $ and %
- Date range flexibility: pull a single day or a full year on demand
- Every store, every advisor, every technician, every line — nothing aggregated away
In the age of AI, this data is gold. Feed a year of Invoice Detail into Claude, ChatGPT, or a custom model and ask specific questions — customer churn prediction, advisor coaching gaps, fraud detection, service mix optimization, lifetime value modeling. Plug it into Power BI or Tableau and build any dashboard you can imagine. The raw data is there, structured, and one click away.
SideKick360 customers use the Invoice Detail export to run custom analyses tailored to their specific questions. That's what multi-unit operators should expect in 2026 — dashboards for the everyday, plus the raw transactional foundation any BI tool or AI model can build on.
The Fourth Pillar — Continuous Customer Health Surveillance
Operations and transactional data tell you what's happening. Customer health tells you what's coming next. A real daily operations program continuously segments every customer in your database based on recency — so you know, at any moment, how many of your customers are slipping away and which ones are worth the most to win back.
The four customer health segments that matter in auto repair and tire retail:
- Active — last visit within 6 months. These are the customers funding your business right now.
- High Risk — last visit 6 to 12 months ago. Still recoverable with the right outreach. Miss them here and they become Lapsed.
- Lapsed — last visit 12 to 18 months ago. Much harder to win back, but their service history is gold for targeted offers.
- Lost — last visit more than 18 months ago. Most of these are gone for good, but a percentage are worth one well-crafted outreach.
This segmentation runs continuously. Every time a customer comes in, their bucket is updated. Every time a customer doesn't come in, the calendar moves them closer to the next risk tier. Your shop's customer health is a living number, not a report you run once a quarter.
The second half of this pillar is equally important: one-click export of any segment with full CRM-grade detail. For every customer in a bucket, you get their full record — name, company, address, email, all phone numbers (cell, home, work) with contact names, vehicles on record, last store visited, lifetime visits, lifetime spend, average spend, and last visit date. Exportable to CSV or Excel in one click.
In the age of AI, this is how you build your own CRM. Pull the Lapsed segment, feed it into a customer win-back workflow. Pull the High Risk segment, generate personalized outreach for each one based on their vehicle and service history. Combine customer health exports with Invoice Detail, and you have a complete customer-plus-transactional data warehouse — ready to feed any CRM, marketing automation platform, or AI model.
Example: a typical single-location auto repair shop running SideKick360 will have thousands of customers classified as Lost (more than 18 months since their last visit) in the current segmentation. Each one is a full customer record with vehicles, service history, and contact info. Some percentage are recoverable. Without the segmentation engine running continuously, you'd never know which customers are in that bucket, much less be able to export them for outreach.
Why Most Multi-Unit Operators Don't Have This
Three reasons — all solvable:
Reason 1: Labor cost
Building this manually requires pulling data from every store's shop management system, normalizing it, rolling it up, formatting the dashboard, and emailing it out. At a 10-store group, that's 2-3 full-time people working mornings. At 30 stores, it's a dedicated reporting team. Most operators can't justify that headcount, so they settle for less frequent or less detailed reporting — and the business runs blind between reports.
Reason 2: Multi-location rollup needs a layer on top
NAPA TRACS, Tekmetric, Mitchell 1, FreedomSoft TireShop, ASA TireMaster, R.O. Writer, TCS TireWorks HD, Hoops & Gears — these are all strong shop management systems, each doing excellent work at the store level. Rolling that data up into a consolidated multi-location 6am dashboard is a different job altogether — and that's exactly the job SideKick360 takes on top of whichever SMS your stores run.
Reason 3: Mixed-SMS environments compound the rollup challenge
If your stores run different shop management systems (common after acquisitions), rolling up daily numbers consistently becomes nearly impossible without a normalization layer. Store A's "Full Synthetic Oil Change" and Store B's "Synthetic LOF" are the same service — but without intelligent normalization, they look different in a consolidated report.
What SideKick360 Delivers Every Day (Automatically)
Both of these artifacts — the nightly stakeholder operations report and the full 6am morning package — are exactly what SideKick360 emails to every multi-unit customer every day. It's the same daily reporting I paid three people to build by hand when I ran stores. Now it's automated, branded to the customer, consistent, and delivered to every stakeholder on the same schedule.
A 5-store tire chain in the upper Midwest, for example, gets a branded nightly operations report every night showing the market total plus each store's Today / MTD / Better-Worse-Year-over-Year for every core KPI. Every stakeholder sees it. Every store manager walks into a morning huddle already knowing how last night closed.
A 13-store tire and auto service chain in the Southeast, running the same platform, gets the full 6am morning package: MTD market dashboard with YoY deltas, Operations spreadsheet with every store's yesterday-vs-last-year detail, and Services spreadsheet with every advisor's scorecard across 30+ service categories. Leadership sees the business the same way every morning. Nothing is built manually. Nothing is late. Nothing is subjective.
A single-location independent in the Northeast uses both on-demand exports. The 55-column Invoice Detail powers their custom BI and AI analysis. The customer health segmentation surfaces their Lost customer list — several thousand customer records with full contact info and service history — as raw material for any win-back workflow they want to build.
SideKick360 connects to your existing shop management system — whichever one (or ones) your stores run — and delivers all four pillars automatically: nightly operations report to every stakeholder, full 6am morning package to managers, on-demand transactional detail for BI and AI, and continuous customer health segmentation with one-click CRM-grade export. No migration. No workflow changes at the counter. Everything an owner needs to run their business and provide daily feedback — and the raw data underneath when you want to go deeper.
Frequently Asked Questions
What should a daily auto repair shop report contain?
At minimum, three levels of reporting delivered every morning: market/company totals, per-store detail, and per-advisor scorecards. Each level should include revenue, gross profit, average repair order, tire units and GP, labor hours and effective labor rate, customer count, and year-over-year deltas on every metric. For coaching, the advisor level should also track 30+ specific service categories (alignments, brake flushes, fluid services, etc.) with attach-rate conversion metrics like potential-alignments-sold %.
How often should shop owners review daily reports?
Every morning, ideally before customers arrive. A 6am delivery gives store managers time to review previous day's results, identify what needs coaching attention, and walk into the shop with a plan. Weekly or monthly reporting loses too much runway to be useful for same-week course correction.
Can I build this report from my shop management system?
You can pull the raw data — most shop management systems capture what's needed. But rolling it up across multiple stores into a consistent daily format typically requires 2-3 people working mornings for a group of 10 locations. That's why most multi-unit operators rely on an analytics layer like SideKick360 rather than building it manually.
What KPIs should I track on my service advisors?
The five most diagnostic advisor KPIs: (1) Average Repair Order, (2) Tire Protection attach rate, (3) Potential Alignments Sold %, (4) Brake Flush-to-Service % (how often a brake job includes the flush), and (5) Maintenance Capture Rate across OEM-recommended services. Together these tell you whether an advisor is running transactional tickets or building a complete-service practice. See our advisor coaching guide for the full playbook.
How does SideKick360 work with different shop management systems?
SideKick360 connects to 9 major shop management systems — NAPA TRACS, Tekmetric, Mitchell 1, FreedomSoft TireShop, ASA TireMaster, R.O. Writer, TCS TireWorks HD, Hoops & Gears, and Protractor — and normalizes the data across all of them. Multi-unit groups running mixed SMS environments get a consistent daily report where every store and advisor is comparable on the same KPIs.
See Your Own Daily Report
If you want to see what your business looks like with a real 6am daily report — the same artifacts I paid three people to build every morning — book a free 30-minute demo. We'll pull a sample from your own shop data and show you what a complete daily delivery looks like across market, store, and advisor levels.
Related: Auto Repair Shop KPIs Every Owner Should Track • How to Coach Service Advisors • How to Find Missed Revenue • Multi-Unit Enterprise Analytics