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Luxury Hospitality
50+ Properties
8 weeks

Luxury Hotel Chain Transformation

A leading luxury hotel chain with 50+ properties across North America was struggling with manual procurement processes that were taking 3+ weeks per quote, resulting in lost opportunities and frustrated brand partners.

The Challenge

The procurement team was overwhelmed with manual PIP processing, inconsistent brand compliance checking, and zero visibility into their quote pipeline. Each PIP required manual parsing, room-by-room specification mapping, and individual vendor outreach - a process that often took 21+ days.

Key Pain Points

  • Manual PIP processing taking 3+ weeks per quote
  • Inconsistent brand standard compliance (67% accuracy)
  • No visibility into quote pipeline or bottlenecks
  • High error rates in Room Matrix generation
  • Vendor relationships strained by slow response times

The Solution

We implemented a comprehensive PIP-to-Quote automation system with AI-powered document parsing, automated Room Matrix generation, and real-time Control Tower dashboards.

AI PIP Parser

Automated extraction of scope, specifications, and requirements from brand PIPs

Room Matrix Generator

Intelligent mapping of specifications to room types with brand compliance checking

Control Tower Dashboard

Real-time visibility into quote pipeline, bottlenecks, and performance metrics

Integration Layer

Seamless connection between HubSpot CRM, ERP system, and vendor platforms

Technology Stack:HubSpot CRMERP Integrationn8n AutomationControl TowerAI Agents

The Results

Within 8 weeks of implementation, the hotel chain achieved dramatic improvements across all key metrics, transforming their procurement operation from a bottleneck into a competitive advantage.

-70%
Time-to-Quote Reduction
21 days6 days
+15pts
Win Rate Improvement
28%43%
+31pts
Brand Compliance
67%98%
+140%
Quote Volume Capacity
50/month120/month

Business Impact

The transformation enabled the hotel chain to handle 140% more quote volume while improving quality and speed. Annual revenue impact exceeded $12M through improved win rates and faster market response.

Lessons Learned

  • Executive sponsorship was critical for rapid adoption across all properties
  • Data quality cleanup in the first week accelerated AI agent performance
  • Phased rollout by property size allowed for iterative improvements
  • Training procurement teams on the Control Tower drove user adoption to 98%

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