CloudTrade Capture 365
Cloud Trade Technologies ltd
CloudTrade Capture 365
Cloud Trade Technologies ltd
CloudTrade Capture 365
Cloud Trade Technologies ltd
Intelligent Data Capture and Automation of Inbound Invoices, for Microsoft Dynamics 365
100% Data Accuracy Guarantee
Simple, effective, high adoption electronic data capture for inbound invoices
CloudTrade’s technology removes the barriers to data capture from inbound invoices, sales orders and statements. As a rapid deployed cloud-based service, it reduces costs, increases processing efficiency, and gives visibility, transparency and control to your accounts payable function.
We build unique data and validation rules so that we extract exactly the data you need. This enables data to be captured and automatically submitted into Microsoft Dynamics 365, and guarantees 100% accuracy from all application produced documents, including PDF’s, Microsoft Office Documents and CSV files.
CloudTrade
captures data from millions of documents for over 500 clients around the world.
The captured data is used to automate downstream systems that rely on accurate
data to drive our customers core business systems including Microsoft Dynamics
365.
Service summary
Unlike OCR CloudTrade does not require templates to be defined and is not reliant on correction of misread characters (digital data can’t be wrongly interpreted).
Unlike EDI CloudTrade does not require technical modifications or senders to implement a technical change.
Unlike Trade Networks CloudTrade does not require a bespoke data format or senders to sign up to a service.
Digital as Standard
Research suggests 75%-90% of
documents you receive, generally via email, are produced digitally. Using
CloudTrade maximizes the benefit of transacting digitally.
The barriers to successfully delivering an electronic capture service have never been lower.
Integration to Dynamics 365
Validated documents will be presented via a standard interface to your Microsoft Dynamics 365 application, enabling your team to add value to the process whilst reducing operating costs and increasing data insight.