

Roadrunner is a CPQ (Configure, Price, Quote) platform designed for enterprise sales teams. It aims to reduce friction in complex quoting processes using an AI-native approach and a natural language interface.
The tool is designed for organizations that need to manage complex pricing rules and approval workflows without relying on Apex coding or ticket-based request systems. It supports faster load times and configurable rules for sales teams.
Buyers should confirm if the platform fits their specific needs, as it is targeted at enterprise companies. Because the vendor emphasizes a specialized migration process, buyers should confirm how the transition from their current system is handled.
Allows users to interact with the quoting system using plain language, which may reduce the need for creating support tickets.
Supports the setup of pricing and quoting rules without requiring Apex coding.
Designed to facilitate the quote approval process and help reduce bureaucratic delays.
A data structure built to support pricing changes.
Provides a high-touch migration service to assist with initial implementation.
Supporting the movement from initial prompt to a completed quote and approval.
Updating and configuring sales rules without requiring Apex programming knowledge.
Managing complex deal structures and approvals for corporate sales teams.
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
Roadrunner is designed for enterprise companies and their sales teams.
No, it is designed so that rule configuration can be handled without needing Apex code.
It is intended to make the quoting process more intuitive and may reduce the need for users to create tickets to generate a quote.
Source category: Sales
Source subcategory: Sales Enablement
Roadrunner is an AI-native CPQ platform for enterprise sales teams that supports the prompt-to-quote-to-approval workflow via a natural language interface. It is designed to help large organizations manage pricing rules without Apex coding.