Development of an AI model to facilitate data extraction from forms

At Mely.ai, we are changing the supply chain and logistics landscape by providing AI-assisted tools to the industry. We want to give an unpreceded experience to our users with the latest technologies to serve their customer better.
We analyze paper documents frequently used in the transport and logistics industry such as commercial invoices, packing lists and certificates of analysis.
Mely.ai’s current value-add is to extract data from forms based on specific templates. We also have a method to extract data without a template, but it lacks precision.
The project is therefore to create a generic AI model that can better extract data from a form into structured data. Using computer vision techniques, we will be able to identify the tabular data as well as the available key values.

Faculty Supervisor:

Laurent Charlin

Student:

Partner:

Mely.ai Solutions Inc

Discipline:

Computer science

Sector:

Information and Communications Technology; Commercial Services; Transportation (excluding aerospace)

University:

HEC Montréal

Program: