Pricing Engine
A governed retrieval system for teams that quote from complex, frequently-updated source materials.
CellaNova Technologies’ Pricing Engine indexes your rate cards, spec sheets, supplier pricing, and contract terms into a searchable, governed library. Your team retrieves accurate, current pricing — faster and more consistently than manual lookup.
IT’S A FIT
Teams where pricing accuracy depends on one person knowing where to look
Teams that lose time to manual lookup, version confusion, or inconsistent estimates
Teams willing to review and approve outputs before they are used operationally
Estimating, sales, and operations teams in construction, services, or B2B environments
Teams that quote from rate cards, spec sheets, or supplier pricing that changes regularly
NOT A FIT
You have no existing pricing documents or source materials to build from
Your pricing is entirely negotiated case-by-case with no recurring structure
You want outputs that go directly to customers without human review
You are looking for a general AI assistant rather than a governed workflow system
Not sure if this is the right fit? A Solution Fit Call will answer that question no commitment, book a Solution Fit Call.
THE PROBLEM
What breaks in pricing workflows
Pricing lives in too many places
Rate cards, supplier sheets, and contract terms are spread across folders, inboxes, and shared drives. Estimators spend more time finding the right version than building the quote.
Source materials change faster than people can track
Supplier pricing updates. Spec sheets change. The estimator who built the last quote may not know the current version — and neither does anyone else.
One person holds the knowledge
The most experienced estimator knows where to look and how to apply the rules. When they are unavailable, quality drops and turnaround time slows.
Inconsistent outputs create downstream problems
When different estimators use different source versions, quotes vary in ways that are hard to explain and harder to defend to clients.
CORE CAPABILITIES
What the Pricing Engine does
A governed retrieval system — not a calculator, not a chatbot. Every output traces back to a specific source document.
Source library indexing
Rate cards, spec sheets, supplier pricing, and contract terms are indexed into a structured, searchable library. Updates to source documents are reflected in the system.
Governed retrieval
Pricing is retrieved from indexed source documents — not generated from memory or general training data. Every output cites its source.
Rules and margin logic
Pricing rules, margin requirements, and approval thresholds defined in the Artifact are applied automatically. Outputs that violate policy are flagged before review.
Estimator workspace
Estimators work from a structured interface — retrieving pricing, building line items, and tracking quote status in one place.
Human review checkpoint
Every output path has a human review step. The system is designed to support estimator judgment, not replace it.
DIY AI Roadmap section
The Artifact includes a DIY AI Roadmap section — a practical guide for teams that want to build and maintain parts of the system themselves.
EXAMPLE OUTCOME
What better outputs look like
A commercial sign company with dozens of product lines and supplier relationships. Estimators were manually cross-referencing rate cards and spec sheets for every quote — a process that took hours and produced inconsistent results.
BEFORE
Manual lookup across multiple source files
Version confusion when supplier pricing changed
Quote quality depended on which estimator built it
AFTER
Pricing retrieved from a single indexed source library
Source updates reflected in the system automatically
Consistent outputs regardless of which estimator is working
WHAT THE BLUEPRINT DEFINES BEFORE WE BUILD
Which source documents are in scope and their current health
The quoting workflow — who builds quotes, who reviews, who approves
Pricing rules, margin logic, and exception handling
System shape — Focused, Structured, or Team
Hosting model — managed or self-hosted
Integration requirements
DIY AI Roadmap section for teams building in-house capacity
WHY NOW
The longer teams wait, the more the problem compounds
Pricing documents accumulate without a governed structure.
One person ends up holding the lookup logic — and that creates a bottleneck.
Teams start using informal AI tools that produce inconsistent, unreviewed outputs.
The longer informal use continues, the more cleanup a structured build requires.
WHY CELLANOVA TECHNOLOGIES
Built from your source material, not a generic template
The Pricing Engine is built from your actual rate cards, spec sheets, and pricing documents — not a generic AI layer.
Every output is source-grounded: the system retrieves from indexed documents, not generated from scratch.
Human review is built into the workflow. Outputs go to your team first, not directly to customers.
Governance is maintained through Managed Knowledge Stewardship — so the system stays current as your source material changes.
START HERE
A short routing call before a serious AI decision.
Start with a Solution Fit Call. We will tell you whether build, advisory, or neither is the right next step.
If your workflow is ready for a managed system, we will point you toward the Blueprint path. If you need guidance first, we will point you toward AI Workflow Advisory. If neither is right, we will say so.