How Human JSON helps in converting more customers for me :)

Hello My connections , In this article I would brief you how by just integrating human json and NLP tools , any sales team can excel in sales and can meet their target.

What is Human JSON? ??

As most of you knows JSON (JavaScript Object Notation) is a lightweight data-interchange format that is easy for humans to read and write and for machines to parse and generate. It's widely used in web applications for transmitting data between a server and a client. Now, imagine applying this format to represent human traits, emotions, and behaviours—this is the essence of Human JSON. ??

HJSON aims a syntax extension to JSON. It's NOT a proposal to replace JSON or to incorporate it into the JSON spec itself. It's intended to be used like a user interface for humans, to read and edit before passing the JSON data to the machine.

How does Hjson help?

Sales team can randomly make mistake and they need not to be super good in formatting right spec for JSON , they can commit mistake in JSON.

Forget Commas

allowed to use comments!

Object names can be specified without quotes and many much .

VISIT : https://hjson.github.io/

Capturing "Human JSON" from customer service interactions involves translating customer data, behaviors, and preferences into a structured format that machines can understand and respond to effectively. Here's a step-by-step guide on how to do this

1. Gather Data from Interactions ??

• Conversations: Collect data from chat logs, emails, voice calls, and any other form of communication between the customer and your service team. It could be documenting error prone JSON , here we have for help HJSON.
• Behavioral Data: Track how customers interact with your website or app, including the pages they visit, the products they view, and the actions they take.
• Feedback and Surveys: Use customer feedback, surveys, and reviews to gather insights into customer preferences, pain points, and expectations.

2. Identify Key Attributes ??

• Demographic Information: Capture basic information like age, gender, location, and occupation.
• Emotional State: Analyze the tone of customer interactions to identify emotions such as frustration, satisfaction, or excitement.
• Preferences: Note any specific preferences or dislikes mentioned by the customer, such as preferred communication channels, favorite products, or service expectations.
• Purchase History: Track previous purchases to understand buying patterns and potential future needs.

3. Structure Data into JSON Format ??

• JSON Object Creation: Create a JSON object to represent the customer.

HJSON to JSON Object Creation: Create a JSON object to represent the customer.

• Attribute Mapping: Map the data you’ve gathered to relevant fields in the JSON structure. This includes demographic details, emotional states, preferences, and historical data.

4. Use Natural Language Processing (NLP) ??

• Sentiment Analysis: Implement NLP tools to analyze the tone and sentiment of customer communications. This will help you identify the emotional state of the customer and include it in the JSON file.
• Entity Recognition: Use NLP to extract specific entities from the conversation, such as product names, service issues, or other relevant information.

5. Update and Refine the JSON Object ??

• Real-Time Updates: As new interactions occur, update the JSON object with fresh data. This ensures that the representation of the customer remains accurate and current.
• Behavioral Tracking: Continuously track customer behavior and interactions to refine their Human JSON over time.

6. Integrate with AI Systems ??

• Personalised Responses: Use the Human JSON to tailor AI responses in customer service interactions, making them more personalized and relevant to the customer’s needs.
• Dashboard With Live inAPP notification to the sales team is presented with Conversation Dialogue what to speak , and when to speak :)
• Predictive Analytics: Leverage the data in Human JSON to predict future customer behaviors, needs, or issues, and proactively address them.

7. Ensure Data Privacy and Compliance ???

• Data Security: Protect customer data by implementing robust security measures and ensuring that JSON files are stored securely.
• Compliance: Adhere to relevant data protection regulations (like GDPR) when capturing and storing customer information.

By systematically capturing and structuring customer service data into a Human JSON, companies can enhance the personalization and effectiveness of their customer interactions, leading to higher satisfaction and loyalty.

Reference DOCs and tech :

HJSON : https://hjson.github.io/

FAFL : https://hjson.github.io/syntax.html

Azure AI speech : https://learn.microsoft.com/en-us/azure/ai-services/speech-service/fast-transcription-create.

NLP : https://learn.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing

Azure AI services : https://learn.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/cognitive-services

Dashboard UI : Remix https://remix.run/

I am open for consultation on any Project / StartUps , Please DM me :)