ARIA: An Interactive Digital Human

              Enhanced collaboration between businesses and consumers
            
              Seamless integration with websites and mobile apps
            
              Elevated experience through facial expressions and hand gestures
            
              Transcript and session summaries for future reference

Benefits

Improved Customer Service

Aria enables 24/7 support to users, answers common questions, and helps them find what they need. This helps in reducing wait times and improving overall customer satisfaction

Increased Engagement

Personalized recommendations, suggestions, and advice to users by Aria makes the experience more engaging and interactive

Scalability

Aria can easily scale to support high volume of conversations making it cost effective to scale customer service and support

Data Collection & Analysis

Aria collects data on user interactions, preferences, and behaviours, which can be used to improve the application and provide better support

Applications

Aria can be used to support a variety of applications that require high level of customer engagement. Here are the key applications

Olivia

Healthcare

Olivia helps users find healthcare providers and schedule appointments for optimal healthcare access

Amara

E-Commerce

Amara provides personalized recommendations, helps users find products, and assists with checkout for a seamless shopping experience

Kevin

Customer Support

Kevin answers common questions, provides product information, and assists with order tracking or returns to ensure excellent customer service

David

Technical Field Support

David is trained to respond to technical queries and provides troubleshooting guidance for smooth operations

Naomi

Education

Naomi offers personalized learning experiences, assists with homework, and answers student questions to support academic growth

Isabella

Human Resource

Isabella assists with employee onboarding, answers HR-related questions, and provides benefits information for a well-supported workforce

Jack

Travel and Hospitality

Jack helps users book flights, reserve hotel rooms, and provide recommendations for local attractions to enhance travel experiences

Aditya

Entertainment

Aditya responds to technical queries and provides troubleshooting guidance for uninterrupted entertainment experiences

Important Features

Integration with Existing Systems

Aria can integrate seamlessly with existing systems and workflows using APIs that provide access to necessary data and services.

Performance

Aria is designed for high performance. Suitable deployment architecture can be designed for a use case to ensure low latency and quick response.

User Experience

Aria provides excellent user experience that is easy to use, intuitive and accessible. It can be customized to meet the needs of the target audience.

Scalability

Aria is designed to scale easily to handle high volume of conversations as the application scales and the number of users increases.

Branding and Personality

Aria UI can be customized easily to align with the branding and personality of the application. It is possible to choose a voice and tone that aligns with the overall branding.

Multilingual Support

Aria can support multiple languages including English, French, Spanish, German, Hindi and Marathi.

Data Security

Aria supports data encryption, access controls, and other security measures to protect user data. SpringCT provides support for configuring hosting servers to ensure confidentiality, integrity and availability of data.

Custom LLM Integration

Ability to integrate with OpenAI and Opensource LLMs like Llama2, Mistral etc. to leverage Large Language Models and auto generate responses to user queries.

User Feedback and Analytics

Aria collects user feedback and analytics, which can be used to identify areas for improvement.

Privacy

Aria implements adequate data retention policies and complies with data privacy regulations of GDPR, CCPA, or HIPAA.

User Experience

Ease of Use

Aria allows users to interact with it in a conversational manner using NLP services. The UI is easy to use and intuitive for users. SpringCT also helps in defining a clear and simple conversation flow and prompts that guide users through the conversation.

Seamless Handoff to a Human Representative

If Aria is unable to handle a user query, it provides a seamless handoff to a human representative. This helps in ensuring that all user queries are addressed.

Personalization

Aria is designed to provide personalized responses and recommendations based on the user’s preferences and history.

Accessibility

Aria is flexible in supporting multiple ways of user input including audio, text and selection of alternative options or suggestions thereby improving accessibility.

Clear Communication

Aria communicates in a clear and concise manner, using simple language that is easy to understand.

User Feedback

Aria allows users to provide feedback on their experience that can be used to make improvements to the experience.

Understanding User’s Emotional State

Aria is designed to detect and respond to the user’s emotional state, providing empathetic and reassuring responses.

Support for monitoring the quality of Communication

Sentiment Analysis

A technique used to analyze the emotional tone of a conversation. By using sentiment analysis, Aria can detect if the user is experiencing frustration, confusion, or other negative emotions during the conversation.

Monitoring User Feedback

User feedback can provide valuable insight into how users feel about their interactions with the chatbot. This can involve collecting feedback through surveys, user testing, or social media monitoring.

Analysis of Conversation Logs

Conversation logs can be analyzed to identify patterns or recurring issues that may be causing user discomfort. This can help in identifying areas where the chatbot needs improvement or where additional training may be necessary.

Analytics

Analytics can provide insight into how users are interacting with the chatbot, including how often users are abandoning conversations or requesting to speak with a human representative. This helps in identify areas where the chatbot is not meeting user needs or where additional support may be necessary.

Feedback Loop

Implementing a feedback loop can help ensure that users feel heard and that their concerns are being addressed. This involves asking users for feedback after a conversation, providing the option to speak with a human representative. Changes may be implemented based on user feedback and the updates provided to the users.

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