DOC2
automates
Invoice Processing
for Microsoft Dynamics
Say goodbye to manual processing of your invoices!
DOC2 guarantees accurate, faster and cheaper invoice receipt through Artificial Intelligence. Check out our demo version by uploading an invoice!
Modern cloud and API architecture will get you to your goal
AI represents
the heart of the solution
Direct integration
with all
ERP systems
DOC² for Microsoft Dynamics
Integration to Microsoft can be done by our API.
Invoice processing for Microsoft Dynamics can be so simple
DOC2 not only reads the headers and footers of your invoices, delivery bills and other document types, but is also able to read all invoice line items using image recognition. The line items are automatically reconciled with your ERP system and read in. You have time to focus on your important tasks. After the invoice has been received, you concentrate on evaluating the data that has already been read in.
DOC2 ensures maximum process optimization in your invoice receipt. That means we read out all the data that is important for your processes and you leverage it.
We create the optimal basis for your incoming invoice operations.
The data is no longer read out via labour intensive IT resources and tedious configuration settings such as regular expressions, but artificial intelligence provides a cloud-based rule repository that is continuously improved via “swarm intelligence”.
Reduce costs / increase speed
DOC² reduces the initial effort by more than 50% and the adaptation effort by almost 100%. The degree of automation is increased to in between 96% to 99%.
The cost of processing an invoice can be reduced from €18 to as low as €4.
API
In addition, the data is fed to the subsequent processes
in an optimized manner, as DOC² is based on
a modern cloud API architecture.
Interested?
Then let’s go!
Test the invoice processing yourself and feel free to upload an invoice in our demo version.
Use an ERP other than Microsoft Dynamics?
DOC² can work with different ERP systems.
About the different ERP systems