Mark Charlinski, President and CCO of LodgIQ, argues that the main barrier to hotel AI adoption is organizational trust, not technical capability. The article connects Hotel Data Conference discussions, a lodging technology survey and revenue team behavior to show how rushed training, complex interfaces and unexplained automation drive resistance and pricing overrides. LodgIQ’s approach embeds...Continue Reading
By Ryan MacLagan, Vice President of Business Development, LodgIQ Excel is often judged at the wrong level. If the question is whether a revenue team can still build reports, update rates, and share recommendations manually, the answer is usually yes. The sharper question is whether that delay changes portfolio economics. Owners and operators do not invest...Continue Reading
Hospitality tech veteran joins LodgIQ to accelerate adoption of the first and only conversational AI purpose-built to help revenue management and commercial teams make smarter revenue decisions. SILICON VALLEY, CA — LodgIQ, with its Revenue Operations Platform built for the hospitality industry, today announced the appointment of Mark Charlinski as President & Chief Commercial Officer....Continue Reading
Free downloadable guide equips hoteliers with an evidence-based framework to clearly evaluate revenue management systems. SILICON VALLEY, CA – LodgIQ, the revenue management system and commercial co-worker for the hospitality industry, has announced the release of “How to Select Your RMS – A Practical Guide for Hoteliers,” a comprehensive resource designed to help hoteliers, revenue...Continue Reading
Vacation rentals have the hospitality industry in an uproar lately and for good reason. Recent reports indicate that vacation rentals, like Airbnb, are taking their toll on the average daily rates of hotels in larger metropolitan areas. According to STR data, NYC hotel rates dropped by 1.7{97f5de9008dbce478b9914384118bb17bc275beb18053f10d4c63e347dc71139} in 2015, the first drop recorded since 2009....Continue Reading
The current state of revenue management systems is stationary. Maybe even a bit stale. Offering up the same data sets and relying on the very manual process of traditional revenue management to fill in the data gaps. The problem with this process is that every property is unique and buying behaviors are driven by factors...Continue Reading
