A customer calls Thursday afternoon. She needs four 225/65R17s for her 2021 RAV4. Your service writer checks the shelf — you've got two. He checks the system — it says four. Someone sold two last week and nobody updated the count.
Now you're on the phone with your tire vendor at 4:30 PM trying to get two tires delivered by tomorrow morning. The customer wanted same-day. She's already texted three other shops. You might keep her. You probably won't.
Meanwhile, in the back of your warehouse, you've got eighteen 195/60R15s that haven't moved in five months. That's $2,400 in cost sitting on a rack, collecting dust, slowly aging past the DOT code window where customers start asking questions. You ordered heavy on that size because it "always sells" — but it stopped selling when three of your fleet accounts switched to a different tire and nobody noticed.
Every tire shop has this problem in both directions: stockouts on the sizes that move, and dead money on the sizes that don't. The difference between a profitable tire operation and a breakeven one comes down to whether you can see it happening in time to act.
Tire inventory management in most shops runs on instinct and spreadsheets. The service writer knows what "usually sells." The manager orders based on what ran out last month. The reorder points — if they exist at all — were set two years ago and never updated.
The structural issue is that tire sales velocity, inventory levels, and margin data live in three different places and never talk to each other. Your POS knows what sold. Your inventory system knows what's on the shelf. Your pricing matrix knows your cost and retail. But nobody is connecting those three data streams to answer the questions that actually matter:
- Which sizes are selling faster than you're restocking them?
- Which SKUs are sitting beyond their days-of-supply target?
- What's your actual sell-through rate — not the one you assume, the one the data shows?
- Where is your margin leaking: on the tire itself, or in the mix of what you're stocking?
Without that connected view, you're running a tire business on rearview-mirror data. You find out about problems when you're already staring at an empty rack or a shelf full of sizes nobody wants.
How AutoLeap Solves It
AutoLeap's Tire Analytics dashboard connects your catalog, inventory, and sales data into a single view purpose-built for managing a tire operation.
Inventory Health at a Glance
The Inventory Health chart shows your 20 lowest days-of-supply SKUs — the tires you're closest to stocking out on. Each bar is color-coded: red means under 14 days of supply, amber means under 30, green means you're comfortable. You don't need to run a report or count racks. The answer is on the screen the moment you open the page.
[SCREENSHOT: Inventory Health horizontal bar chart showing 20 tire SKUs sorted by days of supply, with the top 5 bars in red (under 14 days), the next 6 in amber, and the rest in green, each labeled with tire name and size]
Six KPIs That Run Your Tire Business
The top of the dashboard surfaces the six numbers every tire manager needs:
- SKUs in Stock — how many distinct tire products you have inventory for right now
- Total Units On Hand — your total tire count across all locations
- Inventory Value — the cost basis of what's on your racks
- Avg Days of Supply — at your current sell rate, how long your inventory lasts
- Below Reorder Point — how many SKUs have dropped to or below their reorder threshold
- Sell-Through Rate — the percentage of tires you've moved versus what you had available
These aren't vanity metrics. "Below Reorder Point" tells you what to order today. "Days of Supply" tells you what to order next week. "Sell-Through Rate" tells you whether your mix is right.
[SCREENSHOT: Six KPI cards at the top of the Tire Analytics dashboard showing SKUs in Stock (142), Total Units (1,847), Inventory Value ($198,420), Avg Days of Supply (34), Below Reorder (12 in red), and Sell-Through Rate (68.4%)]
Sales Velocity Trend
The Tire Sales Trend chart shows six months of units sold and revenue on a dual-axis area chart. You can see whether your tire business is growing, flat, or declining — and whether revenue is tracking with volume or diverging (which signals a pricing or mix problem).
If your unit volume is steady but revenue is dropping, you're selling cheaper tires. If volume is climbing but revenue is flat, same story. The trend chart makes these shifts visible before they show up in your monthly P&L.
[SCREENSHOT: 6-month area chart with units sold in teal and revenue in blue on a dual Y-axis, showing a clear upward trend in units with revenue tracking proportionally]
Top Movers
The Top Movers chart ranks your 15 best-selling tires by unit volume for the selected period, with revenue overlaid. This is your fast-moving inventory — the sizes you need to never run out of. If a tire is in your top 5 movers and its days of supply is under 14, that's an order you should place today.
[SCREENSHOT: Horizontal bar chart showing top 15 tires by units sold, with a secondary bar for revenue, the #1 tire being a 225/65R17 with 84 units and $12,600 in revenue]
Full SKU-Level Detail Table
Below the charts, a sortable, searchable table lists every tire in your catalog with full detail: brand, size, speed rating, type, on-hand quantity, units sold, days of supply, sell-through percentage, retail price, cost, and margin.
Click any row to expand it and see the full spec sheet: part number, model, section width, aspect ratio, rim diameter, load index, UTQG treadwear rating, run-flat status, average daily sales, and period revenue and cost.
Sort by margin to find which tires are dragging your blended GP. Sort by days of supply to find what's about to stock out. Sort by sell-through to find what's not moving. Export the full table to CSV for vendor negotiations, purchasing reviews, or fleet account pricing.
[SCREENSHOT: Tire detail table showing 8 rows with columns for Name, Brand, Size, On Hand, Sold, Days Supply (color-coded badges), Sell-Through %, Retail, Cost, and Margin %, with one row expanded showing additional specs]
The average tire shop has 15–20% of inventory value tied up in slow-moving sizes. At $200,000 in tire inventory, that's $30,000–$40,000 in dead stock that could be redeployed to fast movers.
Multi-Location and Date Range Filtering
Every metric on the dashboard responds to location and date range filters. Compare tire velocity at your east-side location against your west-side shop. Look at sell-through for last quarter versus this quarter. Narrow to a single month to see how a promotion performed.
| Metric | Without Analytics | With Tire Analytics |
|---|---|---|
| Stockout detection | Customer calls, empty rack | Days-of-supply alerts, reorder tracking |
| Dead stock identification | Physical walk of the warehouse | Sort by sell-through, filter below 10% |
| Tire margin visibility | Blended in overall parts GP | Per-SKU margin with color-coded badges |
| Vendor negotiation data | Annual gut-feel review | CSV export with cost, volume, and margin by SKU |
| Reorder decisions | "What did we run out of last time?" | Top movers + days of supply = data-driven orders |
| Multi-location comparison | Separate reports per shop | One dashboard, location filter |
The Result
When you can see which tires are moving, which ones aren't, and exactly how many days of supply you have on every SKU, your tire operation stops running on instinct and starts running on data. You stop stocking out on the sizes that pay the bills. You stop tying up cash in sizes that sit for months. Your reorder decisions happen a week before the stockout instead of a day after. And the next time a customer calls for four 225/65R17s on a Thursday afternoon, the answer is "We've got them — bring it in."