Interactive interfaces are the next stage in workforce agility, providing more visibility into data and processes while enabling faster reaction times. Epicor Virtual Agent (EVA) is Epicor Software Corp.’s answer to manufacturers’ desire to extract more value from their current assets and investments without incurring higher costs or sacrificing product quality. The Epicor Virtual Agent, aptly named EVA, is a cutting-edge digital assistant designed to help users work more intelligently.

Epicor Virtual Agent (EVA) At Work

With built-in artificial intelligence, EVA can simplify user interactions with the ERP system and automate manual tasks to speed up operations. Text and voice cognitive skills enable EVA to transform data into visual representations. The result is an intuitive experience that allows users to complete actions on native devices with ease. The technology is powered by Natural Language Processing (NLP), a human-computer interactive technology that users can leverage from mobile devices with requests and tasks that will be addressed by the Epicor Virtual Agent. Targeted information and data to enable faster, better decision-making is then delivered in real-time.

An image of the Epicor Virtual Assistant, EVA, being used on a mobile device

According to Scott Hays, Epicor senior vice president of product marketing, “When EVA responds within the Epicor solution, she does so with more visuals,” offering the example, “If I ask for a typical part, I’ll get back an image of the part with the key information I need to know right away. And, she’ll have a ‘next best action button.” Users can also request more information, including part price or quantity on hand, which will be provided by the Epicor Virtual Agent via the request and response interface.

Taking The Epicor Virtual Agent Beyond Conversation

While the request/response conversational experience may be what most users are familiar with when it comes to virtual agents, the Epicor Virtual Agent extends functionality into proactive suggestions based on best practices. The proactive decision-making process takes into account combinations of events, market statistics, and historical data. Designed to extend and support the workforce, EVA can provide insights teams can easily overlook to improve accuracy, and problem-spotting, and can even forecast or adjust production or distribution levels according to customer demand.

When conversation falls short, actional insights reinforce the agent’s effectiveness according to Hayes, who elaborated on what it means to be an effective virtual agent, stating “The second capability is taking action. If EVA has noticed something going on, she may say that based on what she’s seeing happening on the factory floor I should schedule maintenance on a machine.” The data described includes that from shop floor machines and IoT sensors. These devices, coupled with Epicor ERP, create a virtual nervous system that enables seamless and informed communications between EVA and users’ mobile devices.

The Epicor Virtual Agent In Action

By utilizing the EVA via an interface device, management can confirm or deny suggestions from the Epicor Virtual Agent with just a few clicks or taps. Production managers can schedule maintenance for a machine, shift production to other machines, and carry out an array of other actions with ease.

The Epicor Virtual Agent goes beyond traditional manufacturing scenarios, too. Other applications and industry-specific use cases include:

  • Distribution — EVA can provide outside sales and field service representatives with instant and easy access to information they need, such as product details, price, and availability information, as well as the ability to create a quote on their mobile devices while meeting with customers face-to-face.
  • Retail — EVA utilizes an AI-powered recommendation engine based on market basket analysis to suggest relevant cross-sell or up-sell recommendations in real time. This can take place in the aisle, in real-time, where purchase decisions are made.
  • Automotive Aftermarket — By using AI to evaluate huge datasets that include vehicle registrations and parts failure rates by region, EVA can communicate to auto parts distributors that specific parts are in high demand and stock levels of specific parts need to be replenished or increased to meet that projected demand.

Leveraging The Epicor Virtual Agent Alongside Epicor ERP

Developed using AI services from Microsoft Azure AI services are an integral part of EVA’s development. As such, the Epicor Virtual Agent can accompany any size and type of Epicor implementation, be it on-premise or in the cloud. By delivering the power of EVA to customers of every size, even small and medium-sized companies can leverage the innovative tech the biggest enterprises use to grow their businesses.

Hays emphasizes EVA’s machine learning component and how extended use will make the tool even more ubiquitous, “With EVA, you interact naturally with your ERP system. 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.”

EVA will be available as part of the latest releases of Epicor ERP and Prophet 21, which are planned for general availability in May 2019.

About Encompass Solutions

Encompass Solutions, Inc. is an ERP consulting firm and Epicor Gold Partner that offers professional services in business consulting, project management, and software implementation. Whether undertaking full-scale implementation, integration, and renovation of existing systems or addressing emerging challenges in corporate and operational growth, Encompass provides a specialized approach to every client’s needs. As experts in identifying customer requirements and addressing them with the right solutions, we ensure our clients are equipped to match the pace of the Industry.


When it comes to buzzwords, few raise as many eyebrows and roll as many eyes as Artificial Intelligence (AI). However, when it comes to food and beverage manufacturing AI, the impact of such technology on industrial processes becomes harder to ignore with each passing day.

For the uninitiated, AI can be characterized by the ability of machines and computers to emulate human intelligence. That is any device that is seemingly aware of its environment and can complete actions to increase the chances of successfully achieving a goal.

An image of simulated neural networks used to convey the idea of food and beverage manufacturing ai.

While manufacturers are leveraging disruptive technologies like AI, Robotics, membrane technologies, machine vision, and automation to increase safety, output, and ROI, food and beverage manufacturers may be one of the biggest benefactors from all this technology has to offer.

Food And Beverage Manufacturing AI Benefits

When it comes to the benefits of incorporating food and beverage manufacturing AI into operations, Gartner, a noted global research and advisory firm, predicts that “By 2020, the number of users of modern business intelligence and analytics platforms that are differentiated by augmented data discovery capabilities will grow at twice the rate — and deliver twice the business value — of those that are not.”

Contending with constant change is a crux food and beverage manufacturers know all too well. This isn’t just about the prediction above and emerging technology, either. The industry is rife with fluctuation when it comes to suppliers, regulations and compliance, tax codes, and a host of other environmental factors that manufacturers need to consider.

From data analytics and executive-level predictions to process automation and batch quality, food and beverage manufacturing AI can be applied to many facets of what keeps a business running in optimal condition.

Securing Facilities And Batch Quality With Machine Vision

Recipes and processes are what give food and beverage manufacturers dependable and consistent products. A security that can keep up with today’s modern data theft tools is essential to remain protected. Facial recognition that can secure access to a production facility is just one example of how AI can further protect the intellectual property of manufacturers. The same machine vision technology that can sound an alert that unrecognized intruders are on-site can capture and interpret images to identify products with defects or bottling lines that aren’t securing caps or filling vessels to the appropriate height.

An image of filling and corking wine bottles to specification, a task food and beverage manufacturing ai can make easier.

Making Sense Of Sensor Data

IoT devices are constantly feeding data to ERP software and manufacturing execution systems (MES) assisting in process improvement, predictive maintenance, and forecasting, AI can make sense of data much faster than a human can.

Identifying abnormalities before they become blockages in the production process is invaluable and AI’s ability to read and interpret data for warning signs can set your teams to work on maintaining equipment before it fails.

Output, cost, and revenue information can also be compiled by AI to offer decision-makers a clear picture of how operations are faring relative to the global competition. For example, data points derived by the systems in place can flag important information for review, compile reports, direct field service crews, update schedules, and even modify recipe formulations on the fly depending on environmental factors. Imagine being able to adjust ingredient quantities in real-time based on the quality of raw ingredients.

An image of a food processing equipment separating packaged foods, a task food and beverage manufacturing ai can make easier.

Increasing Consumer Confidence with AI And ERP

In the rapidly changing environment of food and beverage manufacturing, maintaining customer confidence is critical to retaining business. AI, Robotics, and ERP all have a hand in ensuring brand consistency and customer trust. For instance, consider regulatory compliance. The Food Safety Modernization Act (FSMA) is a complex piece of legislation designed to regulate the way foods are grown, harvested, and processed. As a result, every food and beverage manufacturer has to know the components of the law to which they must adhere.

 

An image of a technician lab testing food samples, a task food and beverage manufacturing ai can make easier.

By utilizing intelligent software and refining processes to reduce recalls, lost sales, and legal expenses, businesses can remain more competitive and avoid the potentially fatal mistakes of falling outside of regulation with the products they produce. By enabling superior tracking and traceability alongside more concise testing and validation, advanced technologies can keep such incidents to a minimum, and ensure that when they do arise, they are addressed as quickly and efficiently as possible.

About Encompass Solutions

Encompass Solutions, Inc. is an ERP consulting firm, NetSuite Solution Provider, and Epicor Platinum Partner that offers professional services in business consulting, project management, and software implementation. Whether undertaking full-scale implementation, integration, and renovation of existing systems or addressing emerging challenges in corporate and operational growth, Encompass provides a specialized approach to every client’s needs. As experts in identifying customer requirements and addressing them with the right solutions, we ensure our clients are equipped to match the pace of the Industry.