August 27, 2025
AI Quoting & Sales Agent
How a local print shop cut quote times by 99% and increased sales by 33%.
Noosa Print was losing high-intent leads due to manual delays. We built an autonomous agent that validates artwork, generates quotes, and tracks payments-handling the grunt work so the sales team focuses on high ticket deals.
0
%
Faster Response
0
%
Increase in Sales
Client Context
Noosa Print is a custom printing business in Noosaville, Australia. Like many bespoke service businesses, every lead requires a unique calculation based on size, material, and artwork quality.
The Tech Stack
The Bottleneck
The Bottleneck
The sales manager was acting as a human router, leading to bottlenecks that directly hurt revenue:
Slow "Speed to Lead": It took 3–4 hours on average to calculate and send a quote. By then, impatient customers had already booked with competitors.
Manual Overload: The team spent 10+ hours/week manually reviewing PDF artwork and typing up proposals.
Leaky Funnel: Without an automated follow-up system, stalled email threads were ignored, leaving money on the table.
The Architecture
The Architecture
Phase 1: Codifying "Human" Knowledge The biggest initial hesitation was complexity.
The manager asked, "How can an AI quote this? It requires my specific knowledge of paper stocks, dimensions, and margins."
We solved this by "downloading" the manager's brain before writing a single line of code. We sat down and mapped every pricing variable-material costs, labor time, bulk discounts, and finishing options.
The result? The agent doesn't "guess." It calculates quotes using the exact same logic as the manager, with zero variance.
Phase 2: The Workflow Once the logic was codified, we built a Full-Cycle Sales Agent using n8n:
Inbound Parsing: The AI reads incoming emails, identifying intent and extracting project details.
Smart Validation: Uses CloudConvert to check if attached PDFs are print-ready before a human ever looks at them.
Quoting & Nurturing: Instantaneously generates a tailored proposal via the "Digital Brain." If the prospect goes silent, the agent triggers a polite re-engagement sequence.
Ops Automation: Once paid (via Stripe/Xero), the agent automatically creates the job ticket in ShopVox and updates the database (Supabase).
Workflow In Action
Workflow In Action
The Outcome
The Outcome
By removing the manual friction from the quoting process, the business saw immediate ROI:
Response Time: 4 hours → 2 minutes (99% faster).
Revenue Lift: 33% total increase in sales (23% attributed to instant replies + 10% from reinvesting saved time into lead gen).
Efficiency: Reclaimed 15+ hours/month for the sales manager to focus on high-value B2B relationships.
Think your pricing is "too complex" to automate?
August 27, 2025
AI Quoting & Sales Agent
How a local print shop cut quote times by 99% and increased sales by 33%.
Noosa Print was losing high-intent leads due to manual delays. We built an autonomous agent that validates artwork, generates quotes, and tracks payments-handling the grunt work so the sales team focuses on high ticket deals.
0
%
Faster Response
0
%
Faster Response
0
%
Increase in Sales
0
%
Increase in Sales
The Bottleneck
The sales manager was acting as a human router, leading to bottlenecks that directly hurt revenue:
Slow "Speed to Lead": It took 3–4 hours on average to calculate and send a quote. By then, impatient customers had already booked with competitors.
Manual Overload: The team spent 10+ hours/week manually reviewing PDF artwork and typing up proposals.
Leaky Funnel: Without an automated follow-up system, stalled email threads were ignored, leaving money on the table.
The Architecture
Phase 1: Codifying "Human" Knowledge The biggest initial hesitation was complexity.
The manager asked, "How can an AI quote this? It requires my specific knowledge of paper stocks, dimensions, and margins."
We solved this by "downloading" the manager's brain before writing a single line of code. We sat down and mapped every pricing variable-material costs, labor time, bulk discounts, and finishing options.
The result? The agent doesn't "guess." It calculates quotes using the exact same logic as the manager, with zero variance.
Phase 2: The Workflow Once the logic was codified, we built a Full-Cycle Sales Agent using n8n:
Inbound Parsing: The AI reads incoming emails, identifying intent and extracting project details.
Smart Validation: Uses CloudConvert to check if attached PDFs are print-ready before a human ever looks at them.
Quoting & Nurturing: Instantaneously generates a tailored proposal via the "Digital Brain." If the prospect goes silent, the agent triggers a polite re-engagement sequence.
Ops Automation: Once paid (via Stripe/Xero), the agent automatically creates the job ticket in ShopVox and updates the database (Supabase).
The Outcome
By removing the manual friction from the quoting process, the business saw immediate ROI:
Response Time: 4 hours → 2 minutes (99% faster).
Revenue Lift: 33% total increase in sales (23% attributed to instant replies + 10% from reinvesting saved time into lead gen).
Efficiency: Reclaimed 15+ hours/month for the sales manager to focus on high-value B2B relationships.
Workflow In Action
Client Context
Noosa Print is a custom printing business in Noosaville, Australia. Like many bespoke service businesses, every lead requires a unique calculation based on size, material, and artwork quality.
The Tech Stack