ModiHost is a next generation cloud-based hotel management platform
The specially developed ModiHost AI will use past data to predict the wants and needs of hotel guests in order to optimize upsales.
Beyond simply re-offering additional services that guests have previously purchased, hotels can use ModiHost’s AI to offer enticing discounts on those services at keys times, offer special packages, and sweeten the deal with just the right amount of complementary services. To make this a reality, the ModiHost HMS uses cognitive computing algorithms for conditional decision- making.
For instance, where a guest elects to share their travel information, ModiHost’s AI will offer to assist in arranging transport to/from the airport or station.
The system will automatically book a vetted taxi service that offers the best price and is available at the time of travel. ModiHost will continuously monitor the guest’s travel information to ensure that any necessary changes in travel arrangements are made automatically.
Where a guest orders an in-room movie, the ModiHost HMS will offer food and drink options in line with their recorded dining preferences. Information can be drawn from the guest’s in-hotel dining, dining records at other hotels within the ecosystem, restaurant booking preferences and any information that the guest elects to provide ModiHost. For this reason it is expected that implementation of AI will significantly raise upsales.
ModiHost also provides live dynamic price adjustments for online bookings. The system will monitor the price-per-room of similar hotels in the local area and ensure that rooms at the hotel in question are consistently priced competitively. The cost of each room will be made to correlate with scarcity. Where most rooms in the local area are booked, the system will automatically increase the cost of booking. Where bookings are down, the system will begin pricing rooms at discounted rates to encourage bookings. Automation will also prevent overbookings and double bookings, thus averting costly mistakes.
