Step By Step Guide
Upload a spreadsheet containing the last 2 - 5 years of cancellations and booking data.
Ensure that one of the fields in the booking data is 'number of cancellations'. One of the ways to do that is to provide an aggregate list of total bookings and cancellations per week, along with other parameters which are important to your business.
Step 2 [Done by Hornbill.AI]
Hornbill.AI parses the dataset and augments it for predictive analytics
Create an AI project in Hornbill.AI using the dataset from Step 1, and select the field 'Number of Cancellations' for prediction.
Step 4 [Done by Hornbill.AI]
Hornbill.AI will build an AI model after comparing with Industry's best predictive algorithms and will choose the best one for maximum accuracy for your industry and dataset.
Once the trained model is available in your Project, you can provide a future week as input to the model, and get an anticipated list of cancellations during that week.
Please note that, like any AI program, the impact and accuracy of Hornbill.AI models will depends very much on the the input data is provided to train the AI model.
While we take extensive measure to parse the datasets and remove outlier scenarios which can impact prediction, we would recommend users to prepare accurate and detailed datasets for building your AI project.