The Role of Intelligent Document Extraction for Data Integration
Data integration plays a crucial part for a lot of work process in all companies, a lot of the times companies would need to deal
We automate any kind of office work for manufacturing companies. We’ve automated order processing, supplier management, maintenance reporting, etc.
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By automating repetitive tasks, your employees are free to work on more value-added activities.
Gleematic robots can log on to SAP in the office’s network, and automatically and mimic the humans’ activities for completing the process.
The client receives lots of orders from hundreds of customers daily. They originally have a department to process orders manually (around 5 persons).
Each of the client’s machines produced text files with more than 10 variables and 32,000 data points for every process. Individual data points had to be manually copied and pasted into relevant cells in Excel files, to analyze the data.
An “outlier” is an abnormal data point that significantly differs from other data. Detecting outliers is important because its presence indicates a potential error. If there is an abnormal variation, Gleematic will indicate it as an outlier and open Notepad to write a notification message.
By automating repetitive tasks, your employees are free to work on more value-added activities.
Data integration plays a crucial part for a lot of work process in all companies, a lot of the times companies would need to deal
Transferring data between systems is one of the most common office tasks. If such tasks are done manually, companies with huge amount of data would
Being able to automate maintenance reporting is crucial in Manufacturing. Manufacturing organisation need machine maintenance to ensure mechanical assets are operating with minimal downtime. This
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