Specialty Vehicle / Automotive

Build configurators for trims, packages, upfits, and dealer programs — from luxury lineups to fleet orders.

For automotive quoting, start with the decisions a buyer must make: trims, packages, and permitted options. In quortix.ai, build those dependencies alongside catalog-level pricing and dealer terms, then test representative specialty conversions and fleet orders before relying on the model.

Vehicle configuration is inherently complex

Automotive and specialty vehicle configuration starts with a specific model year and market, not an unrestricted option list. Trims determine available packages; upfits introduce chassis compatibility and weight-rating checks. Hypothetical example: an accessible shuttle requires a conversion that the supplier permits only on a long-wheelbase chassis. Encode that dependency from the supplier's specification, then test both an allowed selection and a rejected short-wheelbase selection in CPQ. Keep engineering checks separate: a valid option selection is not a certification of payload capacity or regulatory compliance. For a closer look at the requirements, read our guide to CPQ for specialty vehicles.

Fleet and dealer programs built into the catalog

Automotive pricing needs an explicit account and program context. Hypothetical example: a fleet buyer requests ten vans through a dealer. Put the eligible fleet tier and dealer multiplier in the catalog rules, calculate pricing on the selected units, and compare the total with the signed program terms. Test nine and ten units to check the tier boundary. A fleet exception or expired dealer agreement should be resolved before sending; pricing is only as current as the program data maintained by your team.

  • Encode trim, package, and option dependencies, then test allowed and rejected selections.
  • Check model-year and market-specific variants against the maintained catalog.
  • Test fleet order pricing and volume tiers with the intended customer segment.
  • Set dealer programs and multipliers in catalog-level pricing rules, then check totals.
  • Define specialty upfit and conversion options from supplier chassis compatibility constraints.

Guided selling for automotive complexity

Plan guided selling around the questions that eliminate unsuitable choices: passenger count, intended service, chassis, and conversion requirements. An authorized external AI agent connected over MCP can inspect the catalog, simulate outcomes, and update a permitted quote draft; there is no in-app chat. The rep can inspect the draft in the visual workspace and check assumptions against supplier compatibility tables. Published logic executes deterministically, but missing engineering requirements still need a qualified person's attention.

Common use cases

  • Luxury and performance vehicle configurators.
  • Specialty upfits and conversions.
  • Fleet and dealer programs with catalog-level pricing.
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