Monthly ROI Calculator

Time Savings:

To estimate the monthly time savings your hotel can achieve, we break down the calculation into several key steps:

1. Estimating Daily Guest Requests:

- In-House Guest Requests: These include requests from guests currently staying at the hotel, such as room service, housekeeping, concierge services, and maintenance. We assume that each guest makes an average of 2.5 requests per day. Additionally, we consider an average hotel occupancy rate of 70%, meaning 70% of the rooms are occupied on any given day.

- Potential Client Inquiries: These are inquiries from potential guests about reservations, amenities, or general hotel information. We estimate that, on average, there are 5 inquiries per 100 rooms per day.


2. Calculating Daily Check-ins:

The number of daily check-ins is based on the hotel's occupancy rate and the average length of stay (ALOS). We assume an average occupancy rate of 70%, meaning 70% of the rooms are occupied daily. The number of daily check-ins is then calculated by dividing the number of occupied rooms by the ALOS, which gives us the turnover of guests.


3. Applying Industry Benchmarks for Time per Task:

- Check-ins: We use an industry-standard estimate that each check-in takes approximately 10 minutes.

- Requests: The average handle time (AHT) for guest requests is estimated to be 3 minutes and 11 seconds, as reported by HubSpot.


4. Calculating Time Savings Through Automation:

- Requests: We apply an automation rate of 85% to guest requests, meaning 85% of these requests can be handled automatically by our system, significantly reducing the workload for your staff.

- Check-ins: We apply a 50% automation rate to check-ins, meaning half of the check-in process can be automated.


5. Accounting for Variability:

To provide a conservative estimate, we apply a ⅓ margin to the calculated time savings. This adjustment ensures that our estimates account for potential fluctuations in actual time saved, giving you a more reliable and realistic figure.


6. Calculating Financial Savings:

The total monthly savings in human labor are calculated by multiplying the total hours saved by the average labor cost of 15 euros per hour. This gives you a clear view of the financial impact of implementing our automation solutions.

Direct Bookings:

To estimate the potential increase in direct bookings and the corresponding revenue boost your hotel could achieve, we follow these steps:

1. Baseline Direct Bookings:

We start by estimating the current number of direct bookings your hotel receives each month. To do this, we assume an industry average website conversion rate of 2%. This means that, on average, 2% of your website visitors convert into direct bookings.

Calculation: We multiply your total number of website visitors by this 2% conversion rate to establish a baseline for your current monthly direct bookings.


2. Estimating the Impact of the Chatbot on Direct Bookings:

- Conversion Rate Influence: Our solution has been shown to positively impact the conversion rate of website visitors to direct bookings. Based on real-world data from HiJiffy clients, we model two scenarios:

  - Conservative Scenario: A 3% increase in direct bookings due to the chatbot's influence.

  - Optimistic Scenario: An 8% increase in direct bookings.

These percentages reflect the additional bookings generated through both the chatbot interactions and the improved overall booking experience on your website.


3. Calculating the Number of Additional Direct Bookings:

For each scenario, we calculate the increased number of direct bookings by applying the respective percentage increase to your baseline monthly direct bookings. This gives us an estimate of how many more bookings you can expect to gain directly from the chatbot's impact.


4. Estimating Potential Revenue from Increased Direct Bookings:

- Average Daily Rate (ADR): We use your hotel’s average daily rate as a basis for calculating revenue.

- Average Length of Stay (ALOS): We also factor in the average length of stay for guests to estimate total revenue per booking.

- Revenue Calculation: The potential additional revenue is then calculated by multiplying the number of additional bookings by both the ADR and the ALOS. This provides a clear picture of the potential financial gain from the increase in direct bookings facilitated by the chatbot.