QuoteEdge – Dynamic Pricing & CPQ Platform for Home-Improvement Sales

Overview

QuoteEdge is a dynamic pricing and Configure-Price-Quote (CPQ) prototype developed by HeadToNet Labs to modernize pricing workflows in home-improvement sales organizations.

The system demonstrates how rules-based pricing engines and explainable AI can replace spreadsheet-based quoting systems while maintaining governance and transparency.

QuoteEdge was designed for industries such as:

• Roofing

• Window installation

• Bath remodeling

• Other contractor-driven home improvement services

These sectors operate in high-velocity, margin-sensitive environments where quoting speed and pricing discipline directly affect profitability.

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Problem Statement: Pricing Inconsistency in Contractor Sales

Many home-improvement contractors rely on fragmented pricing workflows such as:

• Spreadsheets

• Static price sheets

• Generic estimating tools

• Manual discount approvals

This creates several operational challenges:

• Margin leakage due to uncontrolled discounting

• Inconsistent pricing across branches

• Slow quote turnaround times

• Limited pricing transparency for customers

• Lack of centralized audit trails

Enterprise CPQ systems often provide governance but are too complex and expensive for contractor environments.

Lightweight tools provide speed but lack pricing guardrails and compliance mechanisms.

QuoteEdge was developed to bridge this gap.

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Solution: Rules-Based Dynamic Pricing Engine

QuoteEdge introduces a rules-driven pricing system embedded directly within the sales quoting workflow.

The platform computes real-time price bands based on contextual inputs such as:

• Geography

• Product type

• Promotions

• Inventory signals

• Customer segment

Key design principles include:

• Speed over friction

• Governance over guesswork

• Explainability over opacity

Sales representatives receive instant pricing recommendations, while pricing administrators maintain centralized rule control.

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Key Features

Real-Time Dynamic Pricing Engine

Generates minimum, target, and maximum price bands using configurable rule logic.

Explainable Pricing Decisions

Each price recommendation includes a clear explanation of the rules applied.

Pricing Guardrails & Approval Workflows

Quotes falling below defined thresholds trigger manager approval workflows.

Guided Quote Builder

A structured workflow guides users through:

1. Customer context

2. Product configuration

3. Pricing summary

4. Quote finalization

No-Code Rule Management

Pricing administrators can manage rules through a visual interface without coding.

Product & Price List Management

Centralized management of SKUs, variants, and price bands.

Full Audit Trail

Every pricing decision, rule change, and quote update is logged for compliance.

Optional AI Pricing Assistance

Azure OpenAI can enhance price reasoning and explanation while deterministic rules ensure reliability.

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Technical Architecture

QuoteEdge is built as a cloud-native serverless CPQ system on Microsoft Azure.

Frontend Layer

React single-page application deployed via Azure Static Web Apps.

Backend API Layer

Azure Functions power REST APIs responsible for:

• Pricing computation

• Quote lifecycle management

• Rule administration

Pricing Engine

JSONLogic rules process contextual inputs and generate price recommendations.

Data Infrastructure

Azure Cosmos DB stores:

• Products

• Pricing rules

• Promotions

• Quotes

• Audit logs

Identity and Security

Authentication is handled through Azure AD B2C with role-based access control.

Observability

Azure Application Insights provides logging, monitoring, and performance diagnostics.

The architecture targets:

• ≤5 second response latency

• 99.9% system availability

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Technology Stack

Frontend

React
Azure Static Web Apps

Backend

Azure Functions (Python)

Database

Azure Cosmos DB

Monitoring

Azure Application Insights

Authentication

Azure AD B2C

AI Layer

Azure OpenAI

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Business Impact

QuoteEdge was designed to demonstrate measurable improvements in pricing governance and quoting speed.

Target outcomes include:

• 60% faster quote generation

• 5–8% improvement in gross margin retention

• Centralized pricing governance

• Full pricing transparency and auditability

• Standardized pricing across branches

If deployed commercially, the platform aims to achieve 75% adoption of governed pricing workflows within 12 months.

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Current Status

QuoteEdge is currently a Version 1.0 innovation prototype developed within HeadToNet Labs.

The prototype includes:

• Defined architecture

• API contracts

• Pricing rule management

• Audit trail infrastructure

• User interface workflows

Future development areas may include:

• ERP inventory integration

• CRM synchronization

• Digital contract signing

• Expanded AI-assisted pricing intelligence

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HeadToNet Labs Innovation Perspective

QuoteEdge demonstrates HeadToNet Labs’ approach to applied enterprise innovation.

Key principles include:

• Combining AI reasoning with deterministic rule engines

• Embedding governance at the system architecture level

• Prioritizing explainability in pricing systems

• Using cloud-native serverless architecture for scalability

• Solving domain-specific operational problems

The prototype illustrates how modern cloud platforms, rule engines, and AI technologies can transform pricing workflows in contractor sales environments.