Quoting Optimization & Automation for Custom Manufacturers
Quoting Optimization & Automation for Custom Manufacturers
Transform manual, subjective quoting into an automated, highly profitable growth engine with CAD-driven logic.
Phase 00
Phase 01
Phase 02
Phase 03
Phase 04
00
Data Foundation and Geometric Baselining
Weeks 1-8// Objective
Establish a “Single Source of Truth” by auditing historical inconsistencies, eliminating data silos, and standardizing mathematical inputs.
// Action Steps
- ERP and CRM Connectivity Audit: Map data flow between CAD repositories, CRM, and shop floor ERP to identify silos.
- Historical Data Sanitization: Ingest 24 months of historical quotes and map them to 3D CAD files for geometric baselining.
- Dynamic Baseline Costing: Calculate fully loaded costs of each work center to ensure algorithmic “Floor Price” integrity.
// Key Deliverable
Data Connectivity Report, Preliminary Centralized Dashboard, and Initial Company Status Report.
01
Loss Diagnostic and Margin Analysis
Weeks 9-10// Objective
Diagnose root causes of historical quoting leakage by correlating lost bids with response times and geometric complexity.
// Action Steps
- Geometric Win/Loss Decomposition: Segment “Hit Rate” by manufacturing complexity to determine loss drivers.
- Pipeline Velocity Check: Empirically measure your quoting “Expiration Point” where win probability drops to zero.
- Margin Leakage Analysis: Compare original quotes to post-production ERP job costing data to identify overruns.
// Linked Models
// Key Deliverable
The Hit-Rate & Margin Leakage Landscape Report providing empirical evidence of eroded value.
02
Velocity Audit and Algorithmic Workflow Mapping
Weeks 11-12// Objective
Quantify the “Cost of Delay,” identify engineering bottlenecks, and map computational logic for instant quoting.
// Action Steps
- Engineering Bottleneck Identification: Pinpoint human constraints, such as over-reliance on senior engineers for DFM checks.
- Algorithmic Logic Mapping: Define mathematical rules for automated feature recognition and setup calculations.
- DFM Parameter Standardization: Document facility-specific thresholds to program automated warning systems.
// Linked Models
// Key Deliverable
The Algorithmic Workflow Blueprint detailing exact mathematical and operational rules.
03
Dynamic Tiering and Choice Architecture
Weeks 13-14// Objective
Replace binary “Yes/No” quotes with automated choice architecture that maximizes margins through tiered lead times.
// Action Steps
- Lead-Time Tiering: Offer multiple pricing tiers based on dynamic machine scheduling and delivery urgency.
- Value-Based Gap Optimization: Dynamically adjust markups based on part complexity and current shop capacity.
- Manufacturing Mix Strategy: Develop software suggestions for complementary secondary operations as automated up-sells.
// Key Deliverable
The Dynamic Quoting Matrix establishing markup formulas and tiering logic.
04
Application Development and Pilot Deployment
Weeks 15-26+// Objective
Build, test, and deploy the secure, CAD-capable quoting application into a live manufacturing environment.
// Action Steps
- Software Development and API Integration: Build customer portal and backend engine with real-time ERP/CAD integration.
- Algorithmic Reality Check: Benchmark sandbox engine outputs against top digital manufacturers for competitiveness.
- Governance Hardcoding: Hardcode role-based margin protections to prevent unauthorized discounting.
- Pilot Launch and Machine Learning: Deploy to controlled client groups and refine predictions based on live feedback.
// Linked Models
// Key Deliverable
The Live Automated Quoting Application and Final Report discussing next steps and critical KPIs.