Cortical.io
Case Studies
How an International Transportation Company Optimized High Volume Email Processing in Customer Centers
Overview
How an International Transportation Company Optimized High Volume Email Processing in Customer CentersCortical.io |
Analytics & Modeling - Natural Language Processing (NLP) Analytics & Modeling - Real Time Analytics | |
Transportation | |
Logistics & Transportation | |
Data Science Services | |
Operational Impact
The system is so precise that it detected errors produced by human annotators in the training set. | |
The solution allows an “audit-track”–every single decision of the system can be clearly traced and each semantic processing step can be inspected, allowing the company to understand why each email has been classified as “case” or “no case”–an important aspect with respect to international rules like GDPR, which oblige companies to be able to justify any decision based on the use of an automated system. | |
Quantitative Benefit
The company was able to automatically extract relevant terms from hundreds of thousands of emails daily | |
The system was able to label each new incoming email as “case” or “no case”, with indication of the level of prediction confidence | |
The system was able to classify each business-relevant email into categories like invoice, complaint, order, etc. | |