Rules-Driven CPQ Workflow System for Manufacturing Sales Operations
Challenge
Alaska Rubber Group relied on manual quoting workflows built on spreadsheets, email threads, and the expertise of senior sales engineers. This made the process slow, inconsistent, and difficult to scale as demand increased.
Critical product and pricing rules were not encoded in a system, leading to errors, repeated back-and-forth, and reliance on tribal knowledge. Approvals and routing were handled manually, while data lived across disconnected sources, creating inconsistencies and limiting visibility into quoting decisions.
The company needed a system that could enforce rules consistently, reduce manual effort, and make quoting predictable and repeatable across the organization.
Alaska Rubber Group relied on manual quoting workflows built on spreadsheets, email threads, and the expertise of senior sales engineers. This made the process slow, inconsistent, and difficult to scale as demand increased.
Critical product and pricing rules were not encoded in a system, leading to errors, repeated back-and-forth, and reliance on tribal knowledge. Approvals and routing were handled manually, while data lived across disconnected sources, creating inconsistencies and limiting visibility into quoting decisions.
The company needed a system that could enforce rules consistently, reduce manual effort, and make quoting predictable and repeatable across the organization.
Solution
A production CPQ workflow system was built around rules-driven architecture and Temporal-based workflow orchestration. Quoting was decomposed into structured decision stages, where configuration logic is executed by a rules engine and supported by AI agents, with human involvement limited to exception handling.
Temporal workflows enforce each stage of the quote lifecycle, automating routing, approvals, and execution while ensuring traceability and consistency. This transforms quoting from an ad hoc process into a deterministic system with explicit data flows and decision logic.
A unified data layer was established as a single source of truth for product configurations and pricing rules, eliminating inconsistencies across channels. The system encodes domain expertise directly into workflows, allowing non-expert users to generate accurate quotes without relying on senior engineers.
A production CPQ workflow system was built around rules-driven architecture and Temporal-based workflow orchestration. Quoting was decomposed into structured decision stages, where configuration logic is executed by a rules engine and supported by AI agents, with human involvement limited to exception handling.
Temporal workflows enforce each stage of the quote lifecycle, automating routing, approvals, and execution while ensuring traceability and consistency. This transforms quoting from an ad hoc process into a deterministic system with explicit data flows and decision logic.
A unified data layer was established as a single source of truth for product configurations and pricing rules, eliminating inconsistencies across channels. The system encodes domain expertise directly into workflows, allowing non-expert users to generate accurate quotes without relying on senior engineers.
Results
The system runs in production as a controlled CPQ workflow platform that standardizes quoting across the organization. Quote generation time was reduced by 88%, enabling sales teams to produce accurate quotes in minutes instead of days.
Quoting outcomes are now consistent and auditable, with decisions fully traceable and no longer dependent on individual expertise. The system enables junior team members to generate reliable quotes, reducing dependency on senior staff.
The platform establishes a repeatable, rules-driven foundation that supports self-service quoting while maintaining governance and accuracy across all transactions.
The system runs in production as a controlled CPQ workflow platform that standardizes quoting across the organization. Quote generation time was reduced by 88%, enabling sales teams to produce accurate quotes in minutes instead of days.
Quoting outcomes are now consistent and auditable, with decisions fully traceable and no longer dependent on individual expertise. The system enables junior team members to generate reliable quotes, reducing dependency on senior staff.
The platform establishes a repeatable, rules-driven foundation that supports self-service quoting while maintaining governance and accuracy across all transactions.
