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Explore various processes in multiple industries and discover how Cognitive Automation can help you work better and faster!
We help companies in these areas:
Purchase orders are lists of goods the issuer is buying from the buyer. These reports consists various data such as product prices, quantity, delivery date, etc. Client’s system generated reports can be difficult for staffs to view or calculate data, there might also be data that is not necessary to be included in the final report.
The client provides services in shipping needed to review their proposed payments list of current date. Client was already using an Enterprise Resource Planning (ERP) system to document their proposed payments lists. The payments can occur multiple times a day and would need to refresh through the ERP system.
This client would receive thousands of purchase orders for various supermarket retails. Staffs would need to log-in to every supermarket platform parameters from browser, then manually confirm and download new order folders. Client would need to process these orders from 13 different platforms. In some cases, file format might differ depending on the supermarket.
A company in Singapore need to find a solution to automatically generate report and save time to process. The reports are generated from PDF files of a different source. Gleematic can process these unsearchable PDF files using Optical Character Recognition (OCR) and convert them into machine readable files
An engineering solution company Needed to extract Import document.The documents consisted with complex and large amount of data points, such as shipping country, bill of lading, vessel number, etc. This file require data matching to confirm data from other files.
A company receives thousands of orders from their warehouses. These orders would need to be confirmed to proceed the next steps. There are various data points for every orders such as order code, product name, order location, etc. Inputting these data manually would not be efficient and would be prone to human errors.
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