Using AI Software:

Transforming the Customer Experience

Research shows that 91% of customers unsatisfied with the help they get from a brand will leave. Not only can poor customer experience negatively impact your brand, but low employee satisfaction can have unfavorable effects too. If your customer service isn’t exceeding consumer expectations or your employees aren’t as productive or satisfied as they should be, then your AI chatbot software may be outdated or sub-optimized.

In our BeTechly research study, we found that when it comes to customer inquiry response, organizations prioritize improving customer satisfaction, and increasing sales and purchase rates. However, many enterprises struggle with improving customer engagement, long wait times, and providing 24/7 support - all of which impact a business’ ability to boost sales and satisfaction. If you fall in line with any of these sentiments, then it’s time for you to consider upgrading and modernizing your AI chatbots! 

 

 

 

In order to decrease costs, improve customer experience, boost employee engagement, and streamline operations, many organizations are turning to conversational AI solutions like IBM Watson Assistant. Watson Assistant is built on deep learning, machine learning, and Natural Language Processing (NLP) models to understand questions, find or search for the best answers, and complete the user’s intended action.

Here are some key features that makes IBM Watson so great: 

  1. Understands any request: Best-in-class NLP can be quickly trained to understand a new topic in any language with only a handful of example sentences. 
     
  2. Adapts to your domain: Proprietary deep learning and Auto AI models automatically detect and adapt to your business' domain based on the sentences you provide as training data.
     
  3. Knows when not to answer: Irrelevance detection models help the system know when to "buzz-in" confidently and when to pass things off to help documents or to a human agent.
     
  4. Recognizes plain-language responses: Powerful entity detection models can recognize plain-language responses from your customers like synonyms, dates, times, numbers and more – all within the context of a sentence.
     
  5. Doesn't ask redundant questions: Reduce frustration by using information gathered in previous requests to skip steps and streamline the conversation.
     
  6. Handles natural conversation without breaking: Gracefully handle vague requests, topic changes, misspellings, and misunderstandings during a customer interaction without any additional setup.

If you’d like to learn more about IBM Watson Assistant, then schedule a time to speak with a seasoned AI tech expert. They’ll walk you through the benefits, use cases, requirements, costs, as well as assist you in configuring and deploying the solution so it fully streamlines your processes and boost efficiency. Simply fill out the form below and we’ll get you connected!

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