The pain of prioritize a significant volume of emails received everyday
A port operator receives a significant volume of emails regarding ship planning every day. There was a team to handle the emails manually. The team was required to sort and prioritize emails based on their content, urgency, and relevance. It involved analyzing each email, determining the responsible department, and constructing container handling instructions for the department.
Technology involved
NLP
Entity Extraction
Classification
Deep Learning
Knowledge-base
AI Recommendation
Industry
Logistics / Cross Industries
Document types
Emails with Attachments(PDF, Excel, Word)
Location
Hong Kong, MEA
Language
English, Traditional Chinese, Simplified Chinese
Challenge
Intrinsity tackles the critical problems that manual email triage facing
Time-consuming
Sorting through a large volume of emails manually can consume valuable time and resources, making it a time-consuming process that takes away from other tasks.
Prone to human error
Manual email triage is prone to human error, which can result in missed opportunities or operational issues if important emails are accidentally deleted or misplaced in the wrong folder.
Inefficient
Manual email triage can be inefficient when communication and collaboration among team members is lacking, leading to duplication of effort, missed emails, and miscommunication.
Difficulty prioritizing
Prioritizing emails can be challenging due to their diverse range of information, from routine updates to urgent requests for action, and may involve complex subject matter or unclear labeling.
Language barriers
Manual email triage can be challenging when dealing with emails from international customers who speak a different language, potentially leading to miscommunications in a business context.
How it works?
Intrinsity support the port operator to automate the document handling
The system involves two AI engines: email classification engine and entity extraction engine.
Email Classification Engine
The email classification engine analyzing emails and its attachment, prioritizing and classifying based on their content, urgency, and relevance for corresponding department(s) to handle.
Entity Extraction Engine
The entity extraction engine parses and extracts key information such as vessels, call sign, agent name and etc. from the emails to generate relevant container handling instructions.
Other Use Cases
Email triage is important for any business that receives a significant volume of emails on a regular basis
This includes businesses in a wide range of industries, such as:
Customer Service
For companies that provide customer support through email, such as online retailers, subscription services, and software companies
Effective email triage to ensure that customer inquiries are addressed promptly
Legal
Law firms and legal departments receive a large volume of emails related to case management, client communication, and other legal matters
Effective email triage is essential in ensuring that legal deadlines are met, and that important information is not overlooked
Marketing
Marketing teams often receive a high volume of emails related to campaigns, partnerships, and other marketing initiatives
Effective email triage is important in ensuring that opportunities are not missed and that marketing efforts are coordinated
Sales
Sales teams receive a large volume of emails from potential clients, partners, and other stakeholders
Effective email triage is important in ensuring that opportunities are not missed and that leads are followed up on in a timely manner
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