Scaling Quote-to-Order with Agentic AI: From Days to Hours

Product Engineering

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The
Overview

Wishtree partnered with a mid-sized US HVACR distributor to replace slow, error-prone quoting with an autonomous Agentic AI system.

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Problem
Statement

The client was constrained by a slow, manual, and error-prone quote-to-order process that directly impacted sales velocity and customer satisfaction. Their primary challenges included:

  • Slow Sales Cycle
  • Operational Inefficiencies
  • Data Inaccuracy
  • Brittle Automation

Highlights

AI Optimized Shipping

Autonomous quote-to-order orchestration with Agentic AI

Real-Time Disruption Response-07

Direct integration with Eclipse ERP and Salesforce CRM

Seamless System Integration-08

Real-time pricing, stock, and credit validation

Explainable Compliance Workflows-09

Full compliance trail with explainable decision logs

Production pilot live in 7 weeks-10

Pilot launched in just 5 weeks

Fully scalable AI integration illustration

Fully scalable AI integration framework

 

Left Quote
Right Quote
Robot Icon

Agentic AI refers to autonomous, goal-driven software agents that act with
limited human input to optimize specific goals like pricing, forecast demand,
and detect fraud in real time.

 

About Client

A mid-sized US distributor in the HVACR industry, specializing in complex, custom-built equipment and parts for commercial and residential clients, relying on Eclipse ERP and Salesforce CRM to manage intricate quote-to-order processes.

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Core Features

Autonomous Quote Orchestration

Real-Time Validation Engine

Explainable Compliance Logging

Secure Multi-Channel Integration

Intelligent Exception Handling

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Impact

  • 70% faster turnaround: from 2–5 days down to <24 hours
  • 99% quote-to-stock accuracy with real-time inventory binding
  • 35% lift in conversion on complex HVACR builds
  • 50% fewer manual interventions by sales reps
  • 24/7 autonomous coverage even during peak demand
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