Premier US business awards program bestows bronze “Stevie Award” to cutting edge platform designed to detect business performance anomalies using artificial intelligence and machine-learning abilities.
ORLANDO, Fla. – (May 26, 2020) – ProfitSword, the leading developer of business intelligence and data integration software for the hospitality industry, has been awarded the Bronze “Stevie Award” during the 18th Annual American Business Awards for its recently launched ProfitAbility business performance dashboarding and reporting platform. Competing with multiple organizations across the country within the Artificial Intelligence/Machine Learning category, ProfitAbility was selected as an award recipient due to its cutting edge abilities in leveraging artificial intelligence to autonomously identify and report anomalies within data reflecting an organization’s real-time business performance.
Judged by leading business professionals from around the United States, the American Business Awards new product and service categories were chaired by Alec Stern, founder of Alec Stern International LLC. Others on the judging committee included Amit Arora, Vice President of Evercore, Christopher Bocci, Sales Executive at Schneider Electric and
Sunilkumar Gopakumar, Senior Engineering Manager at Rockwell Collins. Among the qualities judged for the Artificial Intelligence/Machine Learning category were a solution’s ability to exhibit intelligent behavior in complex situations to solve problems, communicate with people, and perceive and interact with the physical world. When reviewing ProfitAbility as a potential Stevie Award recipient, judge remarks leading to the platform’s selection included, “ProfitAbility truly shines when it is applied across large hotel portfolios, because of its ability to drill down into customizable segments to better understand how historical trends impact properties.” Other comments further included, “It would save a ton of time from manually analyzing the metrics,” and “This is the future and AI will definitely help innovation and thinking.”
“We are extremely proud of the hard work and innovation that our team members have displayed in the launch of ProfitAbility, and are thrilled to see their efforts recognized with the winning of a Stevie Award,” said Maureen Allen, President at ProfitSword.”Solutions such as ProfitAbility are becoming a critical component within today’s fast-paced business environments due being able to constantly monitor and alert personnel to sudden shifts in performance outlook, ensuring that opportunities or risks are not overlooked as a result of human error or limited attention spans. The receiving of this Stevie Award provides further validation of the tremendous value that ProfitAbility brings and we look forward to equipping more organizations with the advanced tools that they need to ensure an efficient and profitable business.”
Compatible with ProfitSword’s full range of business intelligence and data management solutions, ProfitAbility adds a vital layer in how businesses can strategically leverage their performance data in a timely manner. Once implemented, the solution can immediately begin to learn on its own via the continuous refreshing of information retrieved in real time from a hotel’s performance data generating systems. By constantly analyzing key performance indicators (KPIs) such as reservations and sales, ProfitAbility can automatically determine if new data received falls within previous norms. If information appears below or above average, the platform will then instantly generate an alert so that any necessary action can be immediately taken, eliminating the need to review reports and saving vital time as a result. ProfitAbility provides businesses with the ability to create their own dashboards and set their own KPI parameters for alerts so that they can stay informed on any deviations that matter most to the success of their business.
For additional details about ProfitSword and its full range of business intelligence solutions, please visit www.profitsword.com.