Specialty Vehicle / Automotive
Build configurators for trims, packages, upfits, and dealer programs — from luxury lineups to fleet orders.
From luxury lineups to specialty conversions and fleet orders, automotive deals are built on trims, packages, and option dependencies. quortix.ai models that complexity natively, with catalog-level pricing and dealer programs that mirror how vehicles are actually sold.
Vehicle configuration is inherently complex
Automotive and specialty vehicle selling involves one of the most intricate configuration challenges in any industry: trims, packages, option dependencies, and mutually exclusive combinations that change by model year, market, and regulatory environment. A luxury vehicle might have hundreds of valid configurations and thousands of invalid ones. Specialty upfits add another layer — chassis compatibility, weight ratings, and conversion-specific options that interact with the base vehicle's own constraints. Managing that logic in spreadsheets or a generic CPQ is a fragile exercise.
Fleet and dealer programs built into the catalog
Automotive revenue isn't just retail — fleet orders, dealer programs, and channel pricing each carry their own rules. quortix.ai models dealer multipliers, fleet discount structures, and program-specific eligibility as part of the catalog itself, not as a post-quote adjustment. A fleet customer quoting ten vehicles sees their program pricing applied automatically. A dealer configuring a unit sees their margin-adjusted pricing without a separate spreadsheet translation.
- Trim, package, and option dependencies enforced — only valid combinations available.
- Model-year and market-specific variants managed in the same catalog.
- Fleet order pricing and volume tiers applied automatically by customer segment.
- Dealer programs and multipliers built into catalog-level pricing rules.
- Specialty upfit and conversion options with chassis compatibility constraints.
Guided selling for automotive complexity
When the option matrix is hundreds of rows deep, reps and customers need a structured path through it. quortix.ai's guided selling layer presents choices in a needs-based sequence — segment, use case, performance requirements — and filters the catalog to what's actually relevant. An AI agent can recommend a package based on the customer's stated priorities, surfacing the right trim or conversion without requiring the rep to manually cross-reference compatibility tables.
Common use cases
- Luxury and performance vehicle configurators.
- Specialty upfits and conversions.
- Fleet and dealer programs with catalog-level pricing.