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nGen Answer
Effectively Manage Email Volume with Consistent Responses

                        THE BUSINESS PROBLEM                           higher the volume of email,        the
                                                                       “smarter” nGen Answer becomes.
                        Providing accurate, timely responses to
                        customer inquiries is not an option in
                                                                       NGEN ANSWER BENEFITS
                        today’s business environment— it’s a
                        requirement. As more customers choose to        Deflect Email / Reduce Email
                        communicate through email, the need for         Response Times: Automatically
                        an email response management solution           responds to reduce response times,
                        intensifies.   The     necessity   presents     freeing agents for more specialized
                        companies with the opportunity to               customer issues.
nGen Answer helps       implement a solution that can decrease
companies deliver       operational overhead and improve the            Increase Agent Productivity:
                        quality and consistency of the response.        Automatically answers customer
fast, accurate          The most important factor for successful        emails or suggests responses to
responses to improve    email management includes answering             reduce manual response efforts
customer satisfaction   inquiries quickly and accurately — the first
                        time.                                           Improve Response Relevancy:
and can deflect up to                                                   Message intelligence feature that
40% of emails per       THE NGENERA CIM SOLUTION                        learns from previous messages and
month.                                                                  responses, automatically returns the
                        A component of the nGenera Customer
                                                                        most relevant response
                        Interaction Management (CIM) Suite, nGen
                        Answer relies on powerful natural language
                                                                        Scales for Very High Volumes: Cost
                        technology to understand the intent of a
                                                                        effective solution for email volumes
                        customer's message. nGen Email can then
                                                                        over 15,000 emails per month, and
                        accurately provide an automated response.
                                                                        scales to process millions of emails
                        nGen      Answer      leverages   innovative
                                                                        per month
                        technology from IBM® Classification Module
                        for OmniFind™        Discovery Edition to
                                                                        Minimal IT Impact: Uses an adaptive
                        represent words and text passages as
                                                                        neural network learning law that
                        “context vectors” to automatically group
                                                                        does not require external
                        data into similarly themed clusters for
                                                                        dictionaries, thesauruses, or
                        improved response precision and relevance.
                                                                        semantic networks; Automated
                        The learning algorithm is designed to adjust
                                                                        feedback dramatically reduces
                        context vectors so that words used in a
                                                                        system maintenance.
                        similar context will have vectors that point
                        in similar directions. nGen Answer can learn
                        the meaning of content based on contextual
                        usage and can organize that content for 
                        immediate processing and retrieval. The 
KEY FEATURES
                                                                           

                             Automated Learning                           Sophisticated Message Sorting
                                 Learns words in context by                   Generate automatic
                                 automatically creating a custom              responses/suggested responses
                                 dictionary and recognizing industry          Threaded history across all
                                 jargon, acronyms, and common                 interaction channels

    nGen Answer helps            misspellings
                                 The learning algorithm is based upon     Intelligent Message Interpretation
    leading companies            self-organization, employs an adaptive        Creates a custom dictionary,
    differentiate from           neural network learning law, and does         including industry jargon,
                                 not require external dictionaries,            acronyms, and common
    competition with an
                                 thesauruses, or semantic networks             misspellings
    intelligent response         Contains an automated feedback loop           Continuously improves
    system to improve            to ‘teach’ the system what is an              performance with each processed
                                 appropriate response                          email
    agent productivity and
                                 Continuously improves performance by          Uses intelligent contextual
    overall customer             learning from specific queries and            understanding to enhance auto-
    service efforts.             responses, and then automatically             acknowledgements
                                 increases response accuracy                   Deciphers between auto-reply and
                                                                               suggested responses




 

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nGen Answer, Automated Email Response

  • 1. nGen Answer Effectively Manage Email Volume with Consistent Responses THE BUSINESS PROBLEM higher the volume of email, the “smarter” nGen Answer becomes. Providing accurate, timely responses to customer inquiries is not an option in NGEN ANSWER BENEFITS today’s business environment— it’s a requirement. As more customers choose to Deflect Email / Reduce Email communicate through email, the need for Response Times: Automatically an email response management solution responds to reduce response times, intensifies. The necessity presents freeing agents for more specialized companies with the opportunity to customer issues. nGen Answer helps implement a solution that can decrease companies deliver operational overhead and improve the Increase Agent Productivity: quality and consistency of the response. Automatically answers customer fast, accurate The most important factor for successful emails or suggests responses to responses to improve email management includes answering reduce manual response efforts customer satisfaction inquiries quickly and accurately — the first time. Improve Response Relevancy: and can deflect up to Message intelligence feature that 40% of emails per THE NGENERA CIM SOLUTION learns from previous messages and month. responses, automatically returns the A component of the nGenera Customer most relevant response Interaction Management (CIM) Suite, nGen Answer relies on powerful natural language Scales for Very High Volumes: Cost technology to understand the intent of a effective solution for email volumes customer's message. nGen Email can then over 15,000 emails per month, and accurately provide an automated response. scales to process millions of emails nGen Answer leverages innovative per month technology from IBM® Classification Module for OmniFind™ Discovery Edition to Minimal IT Impact: Uses an adaptive represent words and text passages as neural network learning law that “context vectors” to automatically group does not require external data into similarly themed clusters for dictionaries, thesauruses, or improved response precision and relevance. semantic networks; Automated The learning algorithm is designed to adjust feedback dramatically reduces context vectors so that words used in a system maintenance. similar context will have vectors that point in similar directions. nGen Answer can learn the meaning of content based on contextual usage and can organize that content for  immediate processing and retrieval. The 
  • 2. KEY FEATURES   Automated Learning Sophisticated Message Sorting Learns words in context by Generate automatic automatically creating a custom responses/suggested responses dictionary and recognizing industry Threaded history across all jargon, acronyms, and common interaction channels nGen Answer helps misspellings The learning algorithm is based upon Intelligent Message Interpretation leading companies self-organization, employs an adaptive Creates a custom dictionary, differentiate from neural network learning law, and does including industry jargon, not require external dictionaries, acronyms, and common competition with an thesauruses, or semantic networks misspellings intelligent response Contains an automated feedback loop Continuously improves system to improve to ‘teach’ the system what is an performance with each processed appropriate response email agent productivity and Continuously improves performance by Uses intelligent contextual overall customer learning from specific queries and understanding to enhance auto- service efforts. responses, and then automatically acknowledgements increases response accuracy Deciphers between auto-reply and suggested responses