Predictive analytics involves the use of data, statistical algorithms, and machine learning techniques to forecast future outcomes based on historical data. Predictive analytics can be utilised to anticipate customer behaviour, trends in engagement, and preferences. Predictions are only as good as the data behind them. chatlyn brings each guest's stays from the PMS and every conversation on WhatsApp, email and webchat together in one guest profile, which gives hotels a clear view of what their guests ask for and when. Teams use it to segment guests and send personalised WhatsApp messages at the right moment of the stay.
What is predictive analytics?
Predictive analytics is the practice of using data analysis and statistical algorithms to forecast future outcomes based on historical data. It involves identifying patterns and trends in data to make informed predictions about future events or behaviours.
How is predictive analytics used in business?
Predictive analytics is commonly used in business to optimise decision-making processes, improve operational efficiency, and enhance customer experience. Businesses use predictive analytics to forecast demand, identify potential risks and opportunities, personalise marketing strategies, and optimise resource allocation.
