Top Five Fundamental Rules to Make the Most Out of a Chatbot

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Top Five Fundamental Rules to Make the Most
Out of a Chatbot
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Intro

• Conversational AI phenomenon has been around
  since 1960. However, its prevalence as chatbots
  has been escalated in last few years due to
• Computation power and availability of high volume
  data sets
• Advancement in technologies related to AI and
  machine learning
• Compatibility of Conversational AI with all major
  digital platforms such as social networks, web
  apps and messaging apps catering wide range of
  end users

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Why chatbots are on the way of being new normal?

• So far, chatbots have already proved their worth
  in
• Providing 24x7x365 seamless and monitored
  services to the user
• Making the interactions cost effective due to
  minimal or no human involvement
• Moreover, the AI enabled Chabot is anticipated to
  be a potential tool furnishing the industries
  with advantages such as
• Automated interactions Connected with backend,
  chatbots can automate predefined processes and
  even transactions. For example, after responding
  initial inquiries, the travel chatbot can
  directly navigate the user to relevant booking
  page where the user can complete the entire
  booking process.

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• Future positioning A chatbot with pleasing
  personality that can drive the brand value is a
  must have feature to stay tuned with current
  trends as well as to avail future positioning
• Enhanced Customer Experience Customer experience
  is all about how customers perceive their
  interactions with the organization during their
  entire customer journey. Chatbots can be a
  significant part of carefully crafted customer
  experience strategy. In fact, AI bots provide
  personalized, to the point and relevant
  information that make the customer on boarding a
  quick and delightful experience.

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Which types of Chatbots actually fulfill above
expectations?

• Conceptualizing a high-yielding Chatbot requires
  sensible strategies so that they can deliver
  amazing customer experience, add brand value and
  differentiate the company into the market place.
• Technology providers are coming up various APIs
  and platforms with ready to use functions to
  enable Chatbot development with less of
  programming. In such scenario, only well-analyzed
  and tactical development and deployment of
  technically robust chatbot can make the desired
  mark. First, lets understand three basic
  challenges.

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• Conversational UI Catboats differ to traditional
  UI as they directly communicate with users using
  one or couple of sentences at a time. Thus, there
  are possibilities of communication gaps leading
  to user frustrations. How the bot is expressing
  itself to the user utilizing effective cues is
  without any exaggeration, a game changing factor.
• User Expectation Users are getting habitual with
  virtual assistants such as Amazon Echo and Siri.
  Hence, their expectations are more of those kind
  of experiences. Businesses are expected to
  deliver similar digital experiences for
  comparatively more process specific or complex
  operations.
• Technology Stack The backbone technologies of
  the chatbot, AI and Machine Learning are still
  not at the mature stage. Sometimes, developers do
  struggle in coping with them. The other factors
  such as working over context or memory of the
  chatbot, bot integration with HRM, CRM or ERP
  like legacy system and applying brand specific
  persona to the bot require in-depth technology
  expertise.

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• Overall, the chatbot success factor is all about
  the bots capability to hold smart, interactive
  and helpful conversation flows. This requires
  something more than coding or programming.
• Development of yielding chatbot starts with
  360-degree contextual analysis. Furthermore, we
  need to mind the key components such as robust
  technology stack, ability to understand and keep
  the record of individual users context and
  preference, multi-tasking and self-learning
  capabilities, and Omni channel seamless
  experiences.
• Following are few of the fundamentals for the
  same.

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1 Chatbot-to-System Integration for seamless
interactions

• The chatbot must be connected with backend system
  in order to provide personalized or transactional
  interactions. In general, enterprise backend
  systems are kind of integrated solutions made of
  multiple systems seamlessly talking to one
  another.
• These integrated systems have their own abundance
  of data, data processing powers and
  infrastructural capabilities. Moreover,
  enterprises prefer Omni-channel bots to cater
  maximum users. In such scenario, flawless
  integrations utilizing efficient Channel Adaptors
  and APIs are prime requirements to deliver
  relevant user experience.

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2 Administer Omni-channel bot functioning well

• Omni-channel deployment is a necessity to be
  available to the wider range of audience. It also
  offers flexibility to customers and users. It is
  mandatory to keep following particulars in mind
• Well craft the user interface elements and
  responses start with any one channel
• Make sure that the user can maintain the
  conversation history across all channels
• Define the secured authentication criteria,
  centralized updates across channels
• Leverage Active Directory and other relevant
  tools

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3 Efficient NLP engines make difference

• Users are going to use different and broad range
  of communication habits to convey their messages.
  Hence, the role of NLP engines is critical and it
  must have efficiency to deliver interactive
  responds.
• The engine must understand the user input
  regardless of spelling mistakes, grammatical
  mistakes or type of sentence structure. Language
  keywords need to be mapped with multiple synonyms
  in order to make intent recognition quick and
  easy.  High degrees of efforts are required in
  this area during the bot development process.

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4 Realistic and Sensible User Engagement

• If any of your bot conversation creates
  inconvenience or deliver a bit of disappointment,
  it will leave negative impacts to your brand
  experience. As bots are still in the stage of
  infancy, there will be a gap in the users
  digital experience expectations and the reality.
• Simplicity and straightforwardness cannot be
  compromised while experimenting innovative ways
  to create delightful user engagement
• No matter, how complex or complicated the process
  is, it is imperative to make sure the user should
  not be forced to adapt too much for each
  scenario. On the other hand, the bot extension
  must bring an actual uplift in productivity of
  the businesss workforce.

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5 Backing the bot with multiple process
accelerators

• It is essential to figure our process
  accelerators such as radio buttons, calendars or
  other relevant widgets that make the user
  response or task completion quick and simple.
  Embed the pleasing UI elements to make the
  experience both interactive and satisfying. Even
  human intervention may sound sensible in some
  cases.

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Conclusion

• Businesses have high expectancy from AI enabled
  Chatbots and Chatbot development companies are
  keeping the maximum efforts to fulfill those
  expectations.
• However, artificial intelligence is not a magic
  but a science. When a perfectly developed bot
  architecture aligned with well thought of
  functional and conversational design strategies
  keeps learning from the customer interactions, it
  evolves as a much rewarding technology tool.
  Additionally, such bot needs to be enhanced time
  to time to cope with changing trends of time,
  technology and market.

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  ke-the-most-out-of-a-chatbot/

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