The Knowledge Engine Behind Non-Linear Pricing
In our last article From Chaos to Clarity: Non-Linear Agentic AI for Signage Pricing, we introduced how agentic AI can reshape quoting workflows — moving away from rigid, linear steps and into adaptive, human-centered processes. But one critical piece makes this all possible: the Knowledge Library powered by Retrieval-Augmented Generation (RAG).
Why Knowledge Matters in Pricing
For signage teams, no two quotes are ever the same. Estimators rely on a mix of:
Past project data
Material specs and vendor pricing
Design standards and compliance docs
Client-specific preferences
The challenge? This knowledge is often scattered across emails, PDFs, spreadsheets, and design files. Pulling it together eats valuable time and increases the risk of mistakes.
How the RAG Library Powers Non-Linear Pricing
CellaNova Technologies' CustomCore Systems solution integrates a centralized Knowledge Library with a RAG pipeline, allowing AI agents to draw from past and present information instantly. Here’s what that looks like in action:
Instant Context Retrieval - When an estimator starts a proposal, the system automatically surfaces similar projects, specs, and templates.
Consistent + Accurate Outputs - Quotes and proposals are generated with language, pricing, and formatting aligned to past work — ensuring professional consistency.
Adaptive Inputs - Whether the user begins with a drawing, a material list, or labor hours, the RAG library provides the missing context to fill in the gaps.
Continuous Learning - Each new proof and proposal is added back into the library, enriching the knowledge base and improving future accuracy.
Why This Is a Game Changer
The RAG-powered Knowledge Library transforms quoting from a manual, memory-driven task into a systematized intelligence process:
Faster turnaround: Less time hunting for past files.
Reduced errors: AI checks details against existing records.
Scalable accuracy: Every new project strengthens the system.
In short: the library ensures that non-linear pricing is grounded in consistent, reliable knowledge.
The Bigger Picture
While this project is designed for signage pricing, the same RAG-powered approach applies to industries where knowledge is fragmented — from RFP responses to compliance documentation.
Agentic AI isn’t just about smarter workflows; it’s about making organizational knowledge usable, reusable, and valuable.
Closing Thought
Non-linear pricing is only as strong as the knowledge it stands on. With RAG at its core, our CustomCore solution ensures every quote is built not just faster — but smarter. Want to see how a knowledge library could transform your quoting process? Let’s connect - email us at contactCNT@cellanovatech.com today!
