Do you need a software capable of automatically detecting certain pieces of information within incoming emails and making them available to another software?
Using the AI Email Parser, Mailytica analyzes your incoming emails and uses Artificial Intelligence (AI) und Natural Language Processing (NLP) to recognize names, locations, addresses, numbers and article details. In a second step, the information is made available to other programs through a defined interface.
AI Email Parser
{ classfication: „delivery time request“,
priority: „urgent“,
from: „Timo Streich“,
article: „Business card“,
reference no: „P021349",
quantity: 300 }
The above example shows an email request for the delivery time of a product. In this example, the AI Email Parser automatically detects and extracts the category, urgency, name, article information, reference number, and quantity needed.
Whenever information from incoming emails is needed to process the business transaction in other systems, automating the provision of data through the AI Email Parser can provide efficiency benefits. The annoying and buggy copy and paste process is eliminated. Not only does this help you to react more quickly, but it is ideally possible to automate all of the business transactions.
The technology behind the AI Email Parser is based on Machine Learning, AI (Artificial Intelligence) and NLP (Natural Language Processing) algorithms. Sophisticated algorithms identify meaningful information from unstructured text such as emails. A computer-aided text analysis extracts information and makes it available for other purposes.
Since the emails are analyzed by a completely automated pipeline, these algorithms allow for the analysis of a large number of text, or in our case emails, in a fast and effective way. Single incoming emails can also be processed in real-time: the analysis only needs a few seconds.
By nature, emails are usually very differently worded documents and they are written with different linguistic styles. In other words, no email is like another, and there are no standards which can be used for processing emails by computers. This is where AI Email Parser comes into play: each email goes through a pipeline that normalizes the email and extracts its data before providing that information to another system. Email normalization describes a process that transforms all emails for the purpose of analysis and brings them to a structured, analyzable form.
Finally, Entity Extraction detects information and provides it to other systems through a defined interface (e.g., REST API).
Automatic address recognition in incoming customer inquiries for opening a new customer in your CRM or ERP system
Fully automated address recognition to handle address changes via email
Extracting articles and quantities to automatically transfer this data to your ERP system for quoting
Recognize requests for invoice copies and delivery times and answer automatically
Automatically recognize delivery times from suppliers and transfer them to your ERP system
Recognition of complaints in after-sales in order to react proactively and to detect accumulations at an early stage
Anti-Fraud Management: use the AI Email Parser to detect suspicious content in email
The use of the most modern and effective algorithms ensure a high quality of the extracted information. The algorithms use technologies from NLP (Natural Language Processing) and AI (Artificial Intelligence).
The AI Email Parser sees itself as part of a larger system: a REST API and integrations in ERP and CRM systems enable interaction with your other business programs. Of course, even simpler interfaces such as a periodically generated CSV file are also available.
No manual training necessary: the algorithms of Mailytica are able to train independently.
