ERC’s multi-channel Virtual Agent provides 24×7 inbound and outbound support to augment sales, customer care and recovery solutions. Eva meets with customers in their preferred channel through speech, text or digitally, face-to-face to reduce customer effort and operating costs.
AT LEAST 1,500
conversations per month are handled by
our virtual agent, EVA.
IMPROVED CUSTOMER SATISFACTION BY 27%
after we included virtual agent support to our already existing chat service.
AVERAGE OF 3 MINUTES PER CONVERSATION
Our virtual agent, EVA has been able to reduce resolution time from potentially hours to minutes.
OVER 40%
of customer inquiries can be answered
with zero human intervention.
Source: Partner Research and Survey Data Analysis.
EVA is multi-channel
June 2017
ERC enlists EVA to help users in a new era with advanced Voice technology, helping customers make easy payments over the phone.
February 2020
ERC adds Chat skills to EVA’s repertoire to handle customer questions via web. With Chat, EVA
supports customers with payments, job applications and sales-related inquiries. She also generates a database with the information provided by the users
June 2021
EVA, the enhanced AI Virtual Agent, can now interact face-to-face and she is front and center to help guide engagement with
customers and prospects.
EVA can be trained to support any business need.
Below are some ways EVA is helping today. Talk to her face-to-face or connect with one of our experts to see how EVA can help your brand.
Or, please fill out the form below and our team will be in touch soon!
Provide general information
Book a
meeting
Negotiate and settle debts
Tailor content
for your business
Process payments
Authenticate accounts
Book an appointment
Train your
employees
The options
are limitless
TECHNOLOGY
EVA uses artificial intelligence to handle diverse customer needs. EVA even expresses emotions like empathy, gratitude, and enthusiasm.
Machine Learning
EVA learns patterns and context of customer language and can utilize similar meaning phrases to put together what a
customer is trying to accomplish.
Natural Learning
Understanding
EVA uses NLU cognition to understand customers’ statements and to provide effective responses to move the interaction forward.
Reinforced
Learning
Intent Analysts monitor interactions to determine the next step when EVA is unsure. Ongoing human input strengthens EVA’s
decision-making skills over time.
SAY HELLO
TO EVA TODAY!
EVA is ERC’s multi-channel virtual agent: voice, chat, and now digitally… Face-to-face.
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