BOTCITY - RPA PYTHON PROBLEM SOLVING
The biggest challenge for companies today, in addition to remaining competitive, has been to add technology to their daily operations.
How much is it possible to gain or not lose from the most important resource of every organization?
Yes, human labor is mainly in Brazil the biggest and best cog in action.
Running tasks, solving problems and making decisions by the minute. The professional sometimes needs to multiply by 10 to be able to handle the high demand that is placed on him.
Many times, bureaucracy or operational sequences are so brutal that areas that should analyze, plan and make these decisions become part of the manufacturing process and sometimes even a production bottleneck.
The old process:
Each production person writes which orders he worked on, quantity, types of errors during production and sends them on a sheet to the production scheduler;
Daily, the production scheduler transmits each sheet into the ERP system in a routine that consumes practically the entire working day, since there are three work shifts daily;
Reports need to be extracted from the system one by one in excel and transformed into graphics;
The routine itself is just reporting production data continuously, with a low window to analyze;
8 hours of work daily to keep this routine going.
The case below shows how an RPA solution using BotCity and #python manages to optimize the time of a collaborator who had become the production bottleneck that he should control.
The bot kicks in by performing repetitive actions, as well as other technology features that make it easy for users to standardize data entry. Where our human agent will only analyze, collect the data already processed and make decisions.
The new flow consists of:
Capture production data through APPSHEET;
Data is stored in the cloud;
The bot periodically accesses data in the cloud, accesses the company's system and executes each note;
The data in the cloud were standardized with the system data, so it is possible to feed a BI while everything happens simultaneously;
The collaborator will be changed by email by the bot in the success or failure of his tasks;
In case of error, the bot will restore data to the initial process and forward a file with this data to the people involved;
The whole routine is reduced to 40 minutes of "bot labor", allowing the tasks that add value to the process to be executed and planned in time.
With this, it is possible to prove the powerful return offered by RPA directly on a collaborator. If we could capture indirect earnings, this number would be much higher.
A refined vision is necessary to understand the process, to elaborate a harmonious solution to the user's routine and to integrate those involved.
#Botcity
#Automation
#BusinessProcess
#CloudComputing
#Collaboration
#DataAnalysis
#DigitalTransformation
#Efficiency
#ERP
#Optimization
#Productivity
#RPA
#RoboticsProcessAutomation
#Standardization
#Streamlining
#Technology
#manufacturing
#people
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