Lodging Interactive Integrates IBM Watson Supercomputer to Offer Social Media A.I. for Hospitality Industry

Lodging Interactive, a digital marketing and social media engagement agency exclusively serving the hospitality industry, announced the roll-out of its CoMMingle AI social media management platform for the hospitality industry.  CoMMingle AI leverages the power of IBM’s Watson Supercomputer, enabling Lodging Interactive to analyze big data sets across Facebook, Instagram and Twitter through the use of Artificial Intelligence technologies.

The CoMMingle AI platform can be used to identify social media trends and consumer engagement rates across a hotel’s own social posts as well as to analyze its competitive set, to determine how well their social media initiatives are performing.

With the CoMMingle AI platform, Lodging Interactive can analyze historical engagement data to help create social media posts that will resonate with consumers and achieve conversion results. It can remove any guesswork on how to achieve the highest engagement results.

The Lodging Interactive development team chose to integrate the CoMMingle AI platform with the IBM Watson Supercomputer because it was determined to have the most advanced language, tone and data analysis capabilities.  In addition, The CoMMingle AI platform can scan images used in social posts to determine the commonality of the top performing posts.

The Keyword Relevance Cloud emphasizes the most relevant keywords.  The Keyword Count Cloud emphasizes the keywords that appear more frequently. Keywords are extracted and normalized from posts and may not exist verbatim in posts. 

Image descriptors are extracted from image posts by analyzing the image. Each descriptor is scored based on a confidence level.  The sum of each descriptors' score emphasizes the descriptors with the highest level of confidence.  The Image Count Cloud emphasizes the descriptors that appear more frequently.

The tone analysis calculates the emotions and communication style of the posts. Understanding the tone of posts with the highest engagement helps write future posts that use similar tones.