Email Analysis Using an API
Objective:
The API /virtualbot/best_option/ allows for the analysis of emails, extracting key information, performing automatic categorizations, and assisting in decision-making based on predefined criteria. This API can be applied to cases such as identifying urgent requests, classifying emails by topic, sentiment analysis, and even extracting specific data mentioned in emails.
Common Evaluation Criteria for Emails:
– Keywords: Identification of key words or phrases to categorize the email (e.g., “urgent,” “complaint,” “technical inquiry”).
– Sentiment Analysis: Determination of whether the email has a positive, negative, or neutral tone.
– Extraction of Specific Data: Capturing data such as order numbers, dates, names, or mentioned products.
– Thematic Categorization: Grouping emails by topic, such as technical support, sales, human resources, etc.
– Intent Detection: Identifying the sender’s intent (e.g., request for information, complaint, order confirmation).
Examples of API Requests:
- Classification of Emails by Topic:
Description: Used to automatically categorize incoming emails into different topics or areas based on content.
JSON Request:
{
"user": "admin@company.com",
"type": "email",
"prompt": "Classify the emails into the categories: Technical Support, Sales, or Complaints."
}
- Sentiment Analysis:
Description: To determine the overall tone of the email (positive, negative, neutral), useful in customer service or evaluating user satisfaction.
JSON Request:
{
"user": "customer@company.com",
"type": "email",
"prompt": "Analyze the sentiment of this email and determine if it is positive, negative, or neutral."
}
- Urgency Detection:
Description: Filters emails containing keywords like “urgent,” “priority,” or “emergency” to highlight those requiring immediate attention.
JSON Request:
{
"user": "support@company.com",
"type": "email",
"prompt": "From the received emails, select those that include the words 'urgent' or 'priority.'"
}
- Extraction of Specific Data:
Description: Extract specific information such as order numbers, dates, or names mentioned in the emails.
JSON Request:
{
"user": "sales@company.com",
"type": "email",
"prompt": "Extract the order number and customer name from all received emails."
}
- Intent Detection in Emails:
Description: Analyze emails to identify the sender’s main intent (e.g., request for information, complaint, appointment confirmation).
JSON Request:
{
"user": "admin@company.com",
"type": "email",
"prompt": "Identify whether this email is a request for information, a complaint, or an order confirmation."
}
Real Applications of Email Analysis:
- Customer Service:
The API /virtualbot/best_option can analyze emails received by a support team, identifying those requiring urgent or priority attention, detecting significant complaints, and categorizing emails to facilitate management.
Example: A company receives hundreds of emails daily with different types of requests. The API classifies the emails into topics like “technical,” “administrative,” “billing,” and prioritizes those with urgent complaints.
- Sales and Prospecting:
In a sales context, the API can analyze emails from potential customers to identify interest in products, extract contact details, or requests for quotes. It can also classify emails based on customer interest (e.g., products, inquiries, follow-ups).
Example: A sales team may receive product inquiries. The API can filter emails mentioning keywords related to specific products or purchase inquiries.
- Project Management:
For project management teams, the API can filter emails containing project updates, deadlines, or key milestones. It can also identify any issues or blockers mentioned by project participants.
Example: A project manager receives emails from various stakeholders. The API can extract mentions of deadlines or problems for proper follow-up.
- Human Resources:
The API can be used to analyze emails from candidates or employees, extracting relevant information such as interview requests, meeting confirmations, or internal complaints. It can also assess the tone of emails to identify potential conflicts.
Example: In the context of a selection process, the API can classify emails related to interview confirmations, information requests, or updates on the recruitment process.
- Auditing and Compliance:
In environments where auditing and compliance are crucial (such as finance or legal sectors), the API can analyze emails to identify potential compliance issues, mentions of irregularities, or terms that imply risks.
Example: A legal department may use the API to filter emails mentioning key terms related to risks or regulatory non-compliance.
Advantages of Using the API in Email Analysis:
– Automation of Analysis: Allows for the rapid and efficient processing of large volumes of emails, improving team productivity.
– Intelligent Filtering: Identifies important or urgent emails, ensuring they are addressed as a priority.
– Sentiment Analysis: Provides valuable insights into the attitude or tone of senders, useful for customer service or conflict management.
– Extraction of Key Information: Automatically captures important details such as order numbers, dates, and customer data.
– Pattern and Intent Detection: Facilitates decision-making by identifying the sender’s intent without needing to read each email individually.
Relevant Use Cases:
– Complaint Management and Technical Support: Classifying and prioritizing emails from dissatisfied customers or those with technical issues can improve response time and customer satisfaction.
– Sales Follow-up: Companies can use the API to identify emails indicating purchase intent, requests for quotes, or even to automate follow-ups for unanswered emails.
– Internal Correspondence Auditing: In the context of internal audits, the API can analyze emails to detect terms that imply risks or compliance with regulations, enhancing the security and control of correspondence.
Summary:
The API /virtualbot/best_option for email analysis automates tasks such as classification, sentiment analysis, extraction of key information, and intent detection. This API improves email management in areas such as customer service, sales, auditing, and project management, optimizing time and accuracy in decision-making related to electronic correspondence.
