Case Study

How Reconnect Resort Turned Remote-Island Guesswork Into Data-Driven Pricing With PriceLabs

Saurabh Pol

PriceLabs · 九月 16, 2026

Thomas Despin built Reconnect, a private island resort in Indonesia's Togean Islands, entirely from scratch — solar-powered, desalination-supported, with no existing infrastructure to build on.

Why it matters: Manual pricing and bookings couldn't keep up with growing demand — rates went inconsistent across channels, high-demand periods were underpriced, and double bookings crept in.

Discover how PriceLabs and Cloudbeds turned reactive, manual pricing into a structured, data-driven strategy for one of the most remote resorts in the world.

Top 3 Core Objectives: As demand grew, Reconnect needed to move from manual, reactive pricing and booking management to a system built for a remote, resource-constrained environment.

Replace inconsistent manual pricing: Rates varied across channels, high-demand periods were underpriced, and low-demand periods struggled to convert.
Eliminate double bookings: Availability and pricing weren't reliably synced across channels.
Build a resilient system: One that removes manual friction without sacrificing control.

"We are no longer guessing. We are making informed decisions."

Thomas Despin

Founder

👍 Founder Thomas Despin said that On how pricing decisions changed from guesswork to strategy:

"We are no longer guessing. We are making informed decisions."

⚖️ The selection process: During their research process, Thomas Despin evaluated PriceLabs's product differentiators, customer support, and holistic value as a strategic partner and ultimately decided that PriceLabs was the best fit solution:

Founder Thomas Despin said, about their decision: "If you do not understand your demand and positioning, no software will fix that. But if your fundamentals are strong, tools like Cloudbeds and PriceLabs will amplify your results."

📈 The results: PriceLabs and Cloudbeds gave Reconnect a system where pricing and availability stay aligned automatically, freeing the team to focus on strategy instead of firefighting.

More consistent occupancy throughout the year, with stronger performance during shoulder and low seasons.
Better capture of high-demand periods, improving overall revenue optimization.
Reduced manual workload and fewer errors, with faster, more confident decision-making.