Archive for month: September, 2023


AI/Natural Language: Conversational, Mobile Voice UX for eCommerce

AI/Natural Language Processing (NLP) plays a crucial role in enabling mobile voice conversational commerce and can greatly enhance the user experience. AI/Natural Language technology leverages the capabilities of artificial intelligence to understand, process, and respond to human language in a way that mimics human conversation. Here’s how Artificial Intelligence and NLP contribute to mobile voice conversational commerce, enabling one-touch perfect search, and driving significantly more revenue:

  • Speech Recognition: AI/Natural Language driven speech recognition technology converts spoken language into written text. This is the foundational step for enabling mobile voice commerce. It allows users to interact with their devices and applications using their voice.
  • Intent Recognition: NLP algorithms are used to understand the intent behind a user’s input. This helps the system comprehend what the user is trying to achieve. For instance, if a user says, “Order a large pepperoni pizza,” the AI should recognize the intent to place a pizza order.
  • Context Understanding: NLP models are capable of maintaining context within a conversation. This is essential for providing coherent responses and understanding follow-up questions or statements. It helps in creating a more natural and engaging conversation.
  • Personalization and User Profiling: AI-powered systems can learn from user interactions to provide personalized experiences. They can remember preferences, order history, and other relevant information to enhance the customer’s experience.
  • Product Recommendations: Using machine learning algorithms, the system can analyze a user’s preferences and behavior to make relevant product recommendations. For example, if a user frequently orders vegetarian dishes, the system can suggest vegetarian options first.
  • Order Management and Tracking: AI can facilitate the entire transaction process, from order placement to payment processing. It can also provide updates on the status of the order and estimated delivery times.
  • Natural Language Generation (NLG): NLG is a technology that allows the system to generate human-like responses. This is crucial for creating a conversational and engaging experience for users.
  • Multi-language Support: NLP models can be trained to understand and respond in multiple languages, enabling a broader user base to engage in conversational commerce.
  • Voice Authentication and Security: AI can be used for voice biometrics to authenticate users. This adds an extra layer of security to mobile voice commerce applications.
  • Customer Support and Assistance: AI-powered chatbots and voice assistants can provide instant support, answer queries, and guide users through the purchasing process. This can significantly enhance customer satisfaction.
  • Feedback and Improvement: AI can analyze user feedback to improve the conversational experience over time. It can learn from mistakes and adapt to user preferences.

By incorporating AI and NLP into mobile voice conversational commerce, e-retailers can create more intuitive, efficient, and personalized experiences for their customers, ultimately driving higher conversion rates, significantly higher revenue, and customer satisfaction.


Artificial Intelligence for Business

Artificial Intelligence… it’s here, it’s there, it’s… (to quote Ted Lasso) every —-ing where!

But what are we actually talking about? What is the breakthrough here and what does that mean for you?  

ChatGPT is now the latest tectonic shift in A.I. functionality and truly is that breakthrough. Why?  Because OpenAI has achieved the breakthrough in User Experience.  They didn’t create it, but they did kind of perfect it.  It’s called ad hoc query and the concept has been around since the early 1980s when the relational database boom began (as well as my career, btw). We used to promote ad hoc query at Oracle and it was very real, provided you could speak SQL, or use one of the graphic tools that generated the appropriate SQL. 

Fast forward to the next step in creating the perfect UX. 2011 – Apple launched the iPhone 4s with Siri integrated. For the very first time, millions of us could access the perfect mobile user experience. Hit a button, ask a question, get the answer. Again, ad hoc query, but now Mobile and Voice enabled. 

The very first time I tried this, I recognized THIS was the future. This was the way business applications would be architected, this was the way we would all shop on eCommerce platforms: intelligent, intuitive, interactive. It’s actually what we do here at EasyAsk and Gartner gave us their ‘Cool Vendor’ award for this… but it took another decade for it to be rediscovered and mainstreamed. ChatGPT did that, so ‘thank you’, OpenAI. Combining an Artificial Intelligence/Natural Language query engine with Large Language Models generating comprehensive content for seemingly endless Q&A: Generative A.I.

Like Siri, then OK Google, ChatGPT has the unenviable task of having to ‘index the universe’. So, a common concern is, “is this answer 100% accurate?”. You’ll notice that Chat now qualifies the answer with “to the best of my understanding” or something close. To be clear, this is not a criticism. The tech is fantastic. It’s just always going to be an issue, what content is the answer based upon? They’ve done an amazing job bringing forth a transformative technology and instantly launched the concept of ‘ad hoc query’ forward. We should all be grateful. It IS the perfect User Experience. 

So where do we take this going forward? We, like OpenAI believe in the power of Artificial Intelligence and Natural Language mapped to various business applications and vertical market solutions. The future is very bright to transform the User Experience for Business Intelligence and Analytics, CRM, Medical records, eCommerce and so much more. Congratulations and thank you to OpenAI for paving the road here. I believe it will quickly become a freeway! Off we go. 

Ready to see how EasyAsk's eCommerce solution can help you? Request a demo!
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