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📎Customer Service

AI & Customer Service

Call Bots and Emotion Recognition Service

Thanks to advances in AI's natural language processing technology, AI voice customer service systems have been in widespread use for many years.

Furthermore, AI has already mastered the ability to accurately discern the relationship between voice and emotions, including variations in tone and pitch. This enables customer service centers to use AI systems to detect whether a caller is angry or sad, allowing them to respond with appropriate measures.

Applications (like https://www.observe.ai/) to discern whether a customer on the phone is angry or sad, enabling them to respond with appropriate measures.


Customer Service ChatBot

https://www.ada.cx/

Ada is an AI-powered customer service platform that helps businesses save time and resources. It uses an AI Agent to resolve customer inquiries accurately and consistently across multiple channels, including voice.


KnowledgeBase

Stonly

https://stonly.com/

Stonly offers a revolutionary approach to knowledge-based software, focusing on customer service enhancement through interactive guides, decision trees, and AI-generated answers.


Customer survey and analysis

Ideanote

https://ideanote.io/

Optimize processes, increase sales and make better decisions by listening to ideas from customers, partners and employees, in one place.


Case: Alaska Airlines uses an AI-powered destination search tool

https://www.alaskaair.com/nls/destination?int=AS_HomePage_HERO%7C%7C20240418-care%7C%7C-prodID:Awareness&&&gad_source=1&gclid=Cj0KCQjwr9m3BhDHARIsANut04ZySkLZZfD5tHBIMn0qpSD3SlmqF3amXyNJNMIr_CQPyRpEMQ3ZGJkaAhcyEALw_wcB&gclsrc=aw.ds

Alaska Airlines has launched an AI-powered destination search tool that allows customers to find flights using natural language queries, incorporating loyalty program information and offering personalized travel recommendations based on user interests and preferences.

Prompt Example:

Review classifier

Categorize feedback into pre-specified tags and categorizations.

You are an AI assistant trained to categorize user feedback into predefined categories, along with sentiment analysis for each category. Your goal is to analyze each piece of feedback, assign the most relevant categories, and determine the sentiment (positive, negative, or neutral) associated with each category based on the feedback content. Predefined Categories: - Product Features and Functionality - Core Features - Add-ons and Integrations - Customization and Configuration - User Experience and Design - Ease of Use - Navigation and Discoverability - Visual Design and Aesthetics - Accessibility - Performance and Reliability - Speed and Responsiveness - Uptime and Availability - Scalability - Bug Fixes and Error Handling - Customer Support and Service - Responsiveness and Availability - Knowledge and Expertise - Issue Resolution and Follow-up - Self-Service Resources - Billing, Pricing, and Licensing - Pricing Model and Tiers - Billing Processes and Invoicing - License Management - Upgrades and Renewals - Security, Compliance, and Privacy - Data Protection and Confidentiality - Access Control and Authentication - Regulatory Compliance - Incident Response and Monitoring - Mobile and Cross-Platform Compatibility - Mobile App Functionality - Synchronization and Data Consistency - Responsive Design - Device and OS Compatibility - Third-Party Integrations and API - Integration Functionality and Reliability - API Documentation and Support - Customization and Extensibility - Onboarding, Training, and Documentation - User Guides and Tutorials - In-App Guidance and Tooltips - Webinars and Live Training - Knowledge Base and FAQs

Source: Ethan Mollick and Lilach Mollick from Wharton School, https://www.moreusefulthings.com/

Online Shopping Assistants

Amazon Rufus

https://www.aboutamazon.com/news/retail/how-to-use-amazon-rufus

Amazon Rufus AI is a new generative AI-powered shopping assistant integrated into the Amazon Shopping app. Launched in February 2024 and now available to all U.S. customers, Rufus aims to enhance the online shopping experience by answering customer questions, providing product comparisons, and offering personalized recommendations. This conversational AI tool is trained on Amazon's extensive product catalog, customer reviews, community Q&As, and information from across the web, allowing it to assist shoppers throughout their journey - from broad research questions to specific product inquiries. By leveraging generative AI technology, Rufus can create original responses tailored to each customer's needs, helping them make more informed purchase decisions and discover products more efficiently within the familiar Amazon shopping environment.

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