Make Accurate Forecasts with DEMAND AI
Predicting Future demand is difficult in the new normal. Experience Demand.AI to not only know demand for the next 75 days but also understand which locality in your city will see the demand surge.
Sign Up Now & Instantly Track Demand for 45+ Cities
Introducing
Airline Travelers Forecast (ATF)
Industry’s Only Forecast on Travelers anticipated to arrive at a Destination, segmented by Source Markets
HOW CAN DEMAND AI HELP YOU?
With extreme volatility in travel recovery, it is nearly impossible for us to use historical data to predict future demand. This is where Demand.AI gives clarity.
Demand.AI uses forward looking and real-time indicators such as flight capacity, news, number of bookings, restrictions to provide an index for the next 75 days to help anyone easily understand and plan their forecast.
Demand.AI uses forward looking and real-time indicators such as flight capacity, news, number of bookings, restrictions to provide an index for the next 75 days to help anyone easily understand and plan their forecast.
FUTURE OF TRAVEL
Get an inside look into future demand of the top cities of the world in less than 90 seconds.
Why demand forecasting needs to change
Episode 1
Watch Abhineet Sonkar and Christiane Sieveking in a conversation about the challenge of unreliable demand as they discuss
Episode 2
Watch Abhineet Sonkar & Christiane Sieveking delve further into Demand AI to help us understand how can you track
Episode 3
Watch Christiane Sieveking in conversation with Irene Guinarte Mencía - CEO of Wavyssa
Check Demand For Your City
Instantly navigate demand for the next 75 days and see peak demand
periods for your city. Start exploring now.
DEMAND FORECASTING DATA API
Connect to the power of AI and get real-time demand index into your system to curate your own insights.
Hotel Chains
Integrate Demand Index data with your CRS and PMS systems to better forecast occupancy, bookings and see peak demand periods.
Car Rentals
Use Demand Index data to improve your pace of booking and understand where demand is looking to be higher.
Marketing Teams
Hyper-target promotions using demand-index data to learn where travelers are interested in visiting.
Airlines
Use Demand Index Data to understand where is demand coming from by analyzing hotel bookings, look to book ratios and restrictions data.
Government Agencies
Use Demand Index Data to predict tourist footfall in every district and see which days will see more tourists enter the city.
Real-Estate Planners
Use Demand Index data to check both historical and future data to plan new property openings.
Blogs
The Award-Winning Travel Demand Insights empowering Hotel Chains & Tourism Bodies to stay competitive.
FAQs
Demand Forecasting refers to the systematic anticipation of potential upcoming demand by Hotels to help improve organizational efficiencies. Traditionally, demand forecasting often involves utilizing historical data from multiple sources to analyze and predict future outcomes in terms of an increase or decrease in demand.
Anticipating travel can help businesses such as hotels and tourism agencies develop strategies to maximize the ROI on their Marketing Spends while providing better services to the customers.
It’s no news that the pandemic changed the way industry looks at travel. Increased volatility due to COVID-19 made it difficult for hotels and other travel cos. to plan for the future. In addition, COVID-19 introduced an anomaly in demand forecasting by disrupting historical data trends, making it less reliable to understand how much demand they can expect in the next couple of months.
Even though many countries witnessed recovery after 2 years, uncertainty still looms. Shorter Booking Patterns, Erratic Length of Stays and Unreliable data have made travel demand forecasting a tough nut to crack for businesses.
Demand is volatile and it will continue to remain so even Post-CoVid. How unrest in one part of the world, impacts the market share for competitor destinations?
How does temporarily closing an Airport terminal and diverting flights to another one 20 miles away affect demand at a hyperlocal level?
The impact of political, macro, and micro factors across the world cannot be tracked in real-time with historical indicators and needs new ways of tracking.
In the absence of reliable historical trends, forward-looking demand indicators can bring clarity into the future and drive business outcomes.
RateGain , one of the largest aggregators of travel pricing data in the world has addressed the demand forecasting accuracy issue with Demand AI’s Airline Travelers Forecast (ATF).
We need to understand that modern travel demand forecasting works best when done in tandem with market volatility and not as a reactive measure against it. Keeping in mind the present and near-future travel advisories, airline schedules, quarantine rules, conditional velocity, Online Travel Agency (OTA) search queries, holidays and public events, hotels need to come up with an estimation of the impact these factors have on travel to their operational destination, and how these factors can affect bookings for them at a hyperlocal level.
This enables them to effectively come up with a forecasting and pricing strategy that works in their favor. But all this seems easier said than done. Taking note of several defining factors at once, and working round the clock to acquire the most updated data points, and then analyzing them isn’t an easy manual process. An alternative would be to use a tried, tested, and proven automated demand forecasting solution.
