Deep industry-specific application of artificial intelligence technology simplifies interactions with ERP systems, automates tasks, and facilitates faster operations
Epicor Software Corporation, a global provider of industry-specific enterprise software to promote business growth, today announced the release of Epicor Virtual Agent (EVA), its new enterprise-wide digital agent designed to help users work smarter and accelerate pace of operations across the business more easily.
Developed to execute tasks and recommend, predict, and adjust actions within set parameters, EVA appears on-screen as a virtual assistant that users can access via text or voice. Along with cognitive skills such as text and voice, EVA transforms data into visual information creating an intuitive experience to complete actions on native devices. Powered by Natural Language Processing (NLP), users can access EVA from their mobile devices and the agent will deliver targeted information to help them make better, faster decisions.
Beyond the request/response conversational experience, EVA also uses artificial intelligent (AI) capabilities to proactively deliver alerts and carry out targeted actions based on combinations of events, market statistics, and historical data. Designed to extend and support the workforce, EVA can contribute timely insights that improve accuracy, problem-spotting, and can even forecast and automatically adjust production or distribution levels in-line with customer demand.
“New forms of interacting with business software solutions are a key to accelerating the pace of operations and improving the exchange of data and information,” said Scott Hays, senior vice president, product marketing at Epicor. “Having an intelligent agent at hand will help companies become more agile and responsive to unexpected events and rapidly changing customer demands.”
According to industry analyst Gartner[1] more than 50 percent of all people collaborating in Industry 4.0 ecosystems will use virtual assistants or intelligent agents to interact more naturally with their surroundings and with people by 2022. IDC[2] predicts that by the same year, task-level intelligent applications (apps) that augment human efforts will account for 30 percent of the enterprise apps market. According to IDC, by 2027 the advances in unsupervised and reinforcement machine learning will enable cognitive/AI systems that can detect and sense their environment, learn independently, and make decisions on their own or provide humans with constraint-optimized recommendations.
“With EVA, you interact naturally with your ERP system,” comments Hays. “It’s as easy as just talking or typing to a colleague. This makes the breadth and depth of the industry-specific functionality and information available inside the system directly accessible to a larger audience, boosting productivity and efficiency, and giving the company an improved return on their ERP investment.”
Developed using AI services from Microsoft Azure, EVA can be added to all sizes and types of Epicor ERP implementations—on-premise as well as in the cloud. This ensures customers of any size, including small and medium-sized companies, can take advantage of innovative technologies that will help them grow their businesses.
During its global user conference, Insights 2019, held in Las Vegas, Epicor showcased several industry-specific use cases for EVA.
EVA will be available as part of the latest releases on Epicor ERP and Prophet 21, which are planned for general availability in May 2019.
More news from Insights 2019 is available at the Epicor Newsroom and follow event coverage on Twitter using #EpicorInsights19.
[1] Gartner: Top 10 Strategic Technology Trends for 2019, Published:15 October 2018, Analysts: David Cearley, Brian Burke
[2] https://www.idc.com/promo/thirdplatform/innovationaccelerators/cognitive
Forward-Looking Statements
Management of Epicor Software Corporation believes certain statements in this news release may constitute forward-looking statements including statements regarding the latest product release, release dates, expected future functionality and benefits therefrom, and other statements that are not historical fact. These forward-looking statements are based on currently available competitive, product and economic data together with management's views and assumptions regarding future events and business performance as of the time the statements are made and are subject to risks and uncertainties. Actual results may differ materially from those expressed or implied in the forward-looking statements. As a result of these factors the business or prospects expected by Epicor as part of this announcement may not occur. Epicor undertakes no obligation to revise or update publicly any forward-looking statements except as required by applicable law.