Tire and Automotive
Retail Consulting and Analytics
Pricing, demand, and inventory data driving measurable profit.
Thousands of SKUs, fitment-driven demand, install services, warranties, and a competitor down the road repricing every week. These are just a few of the unique complexities in the tire and automotive industries. Parker Avery works across the tire value chain, from North America’s largest tire retailer to one of the largest global tire manufacturers, helping both price, plan, and promote with precision. We prove the value in the quarter it lands.
Our expertise in tire and automotive retail is backed by results.
- $100M+ in annual profit from price optimization for one of the world’s largest tire retailers.
- 6% more units, 5% more revenue, and 4% more profit, measured by the same retailer after rolling out AI-driven pricing for its base and private label tires.
- 8% more units, 6% more revenue, and 3% more profit projected from a promotional offer optimization project for one of the world’s largest tire manufacturers.
Unified Demand Intelligence (UDI) is the foundation for each of these engagements.
Why is tire and automotive retail different?
The answer is simple. It carries complexities and constraints most retail models ignore. Parker Avery builds around them.
Fitment, not fashion.
Demand follows vehicles, mileage, and weather, not trends. Miss that signal and you stock the wrong tires.
Product + labor + warranty.
One ticket, three margins. Goods, installation, and warranty each respond to price differently.
Private label is the margin engine.
Price it like a national brand and you give up both margin and share.
Price image is local.
Competition shifts by store, banner, and channel. Your pricing should too.
Bays are the constraint.
Service capacity, not just inventory, decides whether demand turns into a sale.
The data rarely lines up.
Sales, cost, and product data live in separate systems. Connecting them comes first.
Capabilities we’ve built for tire and automotive retail
| CAPABILITY | WHAT IT IMPROVED | HOW PARKER AVERY DOES IT |
|---|---|---|
| Price Optimization | Replaces rudimentary pricing rules with elasticity-driven recommendations that balance margin, revenue, and units | Price and cross-price elasticity modeling by product, geography, and channel, delivered as weekly recommendations |
| Warranty & Attachment Pricing | Turns the warranty program from a loyalty cost into a profit contributor | Warranty-specific elasticity models validated through staged field tests on financial results and customer price perception |
| Competitive Price Intelligence | Protects price image on key value items without blanket discounting | Automated competitor price collection, generative AI item matching across cobranded and private label products, and exception alerts |
| Demand Planning & Forecasting | One demand signal across merchandising, supply chain, and operations | Unified Demand Intelligence, with advanced data hygiene applied to transaction-level history |
| Inventory Optimization | Fewer stockouts on fast-moving fitments, less capital in slow ones | Service level simulation, safety stock and parameter tuning, and replenishment process redesign |
| Labor & Bay Planning | Aligns scheduling with forecast demand so service capacity is not the bottleneck | Demand-driven labor planning on the same forecast the merchants use |
| Promotional Offer Optimization | Replaces a consistent-by-habit promo calendar with offers modeled on actual promotional elasticity | Federated sell-in and sell-out data, demand driver and elasticity modeling, offer recommendations, and a simulation tool for planning future promotions |
| Adoption & Change Enablement | Makes the new process stick after the model goes live | Business process design, organizational change support, and executive reporting cadence |
Results first, then scale
Results-as-a-Service model: takes your data as it is and delivers a deployed solution in 6-12 weeks, with margin, revenue, and unit improvements typically visible in 12 to 16 weeks.
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- Assess. Discovery, environment setup, data staging, and a defined price test strategy.
- Pilot. Field price test, competitor price collection, demand modeling, optimized prices, and measured impact.
- Deploy. Full rollout with continuous competitor collection, outcome measurement, and model refinement.
- Sustain. Weekly recommendations, monitoring, refreshed elasticities, and monthly executive updates from an analytics team built around mathematics, statistics, and engineering PhDs.
Proof of rigor: Multiple years of transaction-level data, several terabytes, cleansed and enhanced with external macroeconomic variables before a single price moved.
What we can do for your business
- Give merchandising, supply chain, and store operations a single demand signal instead of three competing forecasts.
- Test before you commit, using a staged field test that measures profit and customer perception together.
- Quantify the margin sitting inside your warranty and service attachment pricing.
- Find the private label price positions that grow units without eroding price image.
- Pressure-test a promotional calendar that has been consistent for years, and simulate the alternatives before committing spend.
- Prove the return in one quarter, then expand across banners, channels, and categories.
Bring Us Your Hardest Question
If you run pricing, merchandising, analytics, marketing, or supply chain for a tire or automotive business, whether you sell through bays or through channel partners, a short conversation is usually enough to size the opportunity. We will tell you what we would test first and what it is likely worth.
The Parker Avery Group has successfully completed its SOC 2® Type I and Type II audit (December 2025).
