INTELLIGENCE_MODULE // PREDICTIVE-QUOTING

Predictive Quoting

Convert unstructured RFQs into technical quotations. The system analyzes technical specifications against live inventory costs and labor rates to produce accurate, margin-protected bids in minutes.

Format Multi-modal RFQ Ingestion
Logic Historical Win-Rate Analysis
Margin Predictive Cost Protection
CRM Native Frappe Lead Integration

The Operational Bottleneck

"Technical RFQs often rot in inboxes while engineers manually calculate margins against fluctuating commodity prices. This 'black box' quoting leads to missed opportunities due to slow response or eroded margins due to outdated BOM costs."

The Sovereign Solution

Vertex AI analyzes incoming technical PDFs and emails to extract requirements, mapping them to real-time inventory costs and labor rates in ERPNext. Our margin-protection algorithm ensures every quote is theoretically profitable before it hits the customer's desk.

Core Mesh Architecture

Sovereign Cloud Integration

Requirement Ingress

RFQ Analyzer

Natural Language Processing

Price Synthesis

Vertex AI Logic

Margin-Protected Costing

Output Layer

Technical Quote Gen

Automated SLA Drafting

Real-World Application

Aerospace Bracket Quotation at Scale

A CNC machining facility in Ohio receives an RFQ for 5,000 custom aerospace brackets with complex 3D assembly requirements. Infinary-Quote ingests the PDF, identifies the 'Alloy 7075' requirement, and checks the current weighted average cost in the ERP inventory.

The system detects that alloy prices have spiked 12% since the last quote. It automatically generates a draft Sales Order in ERPNext with a dynamic 'Material Surcharge' clause and an optimized lead time based on the current Production Plan. The salesperson receives a ready-to-send technical quote within 20 minutes.

Aerospace Bracket Quotation at Scale
Simulation Model // predictive-quoting-SCENARIO-01

Operational Logic

Continuous
Decision Flow

01

RFQ Intake

Scanning unstructured emails and PDFs for technical requirements.

02

Cost Modeling

Dynamic BOM generation based on real-time inventory and labor costs.

03

Price Optimization

AI-driven discount optimization based on market competitiveness.

04

Drafting

Automated generation of detailed technical quotations and SLAs.

Measurable Impact

ROI Dashboard

Quote Speed 20 Min

Reduced from 4 days of manual calculation.

Margin Accuracy +18%

Protection against commodity price spikes.

Win Rate +15%

Increase in conversion due to response velocity.

Google Cloud Ecosystem Alignment

Vertex AI
Cloud Natural Language
Looker
BigQuery

* Infrastructure costs billed directly via your private GCP project.

Deploy Predictive Quoting
in Your Infrastructure.