Dynamic Pricing Insights for a Boutique Hospitality Group

Introduction

A boutique hospitality group wanted to maximise revenue without adding complexity for front-desk staff.

The Challenge

Rates were sometimes set too low during high demand and too high during quiet periods, causing missed revenue and occupancy dips. Reporting came too late to act on.

Solution & Implementation

We built a pricing and performance dashboard that combined booking pace, event calendars, competitor ranges (where available), and historical patterns. An AI-driven recommendation offered “suggested rate bands” and simple prompts such as “raise rates for weekends in three weeks” or “add value bundle for midweek dips”. We kept controls with the business: managers could accept, adjust or ignore recommendations, with a clear audit trail of changes and outcomes.

Impact

• Occupancy increased by ~6% (better midweek performance)

• Revenue per available room increased by ~8%

• Manual pricing and reporting time reduced by ~50%

• Fewer last‑minute discounting decisions (improved consistency)

• Payback: ~6–10 months, driven primarily by revenue uplift