Case Study: How BookingHost Automated Guest Communication Across 2,000+ Apartments and Reduced Customer Support from 14 to 6 People

Case Study: How BookingHost Automated Guest Communication Across 2,000+ Apartments and Reduced Customer Support from 14 to 6 People

Introduction

Managing guest communication is one of the most operationally demanding aspects of short-term rental management- especially at scale. BookingHost, one of the largest short-term rental operators in Poland, manages over 2,000 apartments and handles hundreds of thousands of guest interactions each year.

Until recently, supporting this scale required a 14-person customer support team. Today, the same volume of communication is handled by just two people, thanks to the implementation of GuestReply, an AI-powered guest communication platform.

A Scale That Required Change

2025 marked a record year for BookingHost in terms of operational volume. The company completed XX,XXX stays, while the total number of reservations- including canceled and unpaid bookings - reached XXX,XXX. Importantly, canceled reservations still generate significant communication with guests, often involving multiple messages before cancellation occurs.

Since July 2025 alone, BookingHost has received 83,909 guest messages, averaging nearly 500 messages per day. During the same period, the company sent 74,000 messages, combining both employee-driven and automated communication through GuestReply. This level of volume would be extremely difficult-and costly-to manage manually.Staff Time on Repetitive Tasks Much of guest communication involves routine inquiries: check-in instructions, Wi-Fi passwords, amenity questions, or cancellation policies. Staff spending hours on these repetitive messages cannot focus on higher-value tasks, limiting overall productivity.

Operational Challenges Before Automation

Before implementing GuestReply, BookingHost faced challenges common to large-scale property managers. Guest communication was largely repetitive, consisting of check-in instructions, house rules, payment-related questions, and basic technical issues. Each portfolio expansion required additional hiring, increasing labor costs and operational complexity. At the same time, platforms like Airbnb demanded near-instant response times, placing continuous pressure on support teams. The manual nature of the work also contributed to employee fatigue and turnover. While the model functioned, it was not scalable.

Implementing GuestReply

GuestReply was introduced as the central layer of guest communication. The system now handles the majority of routine inquiries, responding almost instantly-typically within one minute of receiving a message. Automation covers welcome messages, check-in and check-out instructions, frequently asked questions, and many operational issues that previously required human intervention.

According to the BookingHost team, the key value lies not only in response speed but in problem
resolution without staff involvement:

“GuestReply has fundamentally transformed how we handle guest communication. Instant response times allow us to maintain Superhost-level performance, which platforms like Airbnb and Booking.com actively promote. This visibility directly drives higher booking volumes, while automation significantly reduces operational workload across our organization”- said Adrian
Scześniak, General Manager in BookingHost.

Results and Business Impact

The results of implementing GuestReply were immediate and measurable. The most striking outcome was the reduction of the customer support team from 14 to just 6 people, without compromising service quality or response times. Automation absorbed the majority of high- volume communication, allowing staff to focus exclusively on complex, high-impact cases.

GuestReply seamlessly handles hundreds of messages per day, including conversations related to completed stays as well as canceled or unpaid reservations. Communication became consistent, predictable, and fully scalable as the portfolio continues to grow.

One of the most important performance indicators was the increase in Airbnb activity rate to 99%, significantly improving listing visibility and guest trust. Instant responses shortened resolution times, reduced escalations, and improved overall guest satisfaction.

Conclusion

BookingHost’s case demonstrates that guest communication automation is a foundational element of scalable short-term rental operations, not merely a technological enhancement.

With GuestReply, BookingHost:

• Manages over 2,000 apartments with a lean support team

• Handles tens of thousands of guest conversations without operational strain

• Maintains near-perfect response metrics across platforms

• Significantly reduces costs while preserving service quality

• A reduction of customer support department costs by up to 82%.

This success story highlights how well-designed automation can transform organizational structure, increase efficiency, and create a sustainable competitive advantage.