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UiPath use case accelerators are automation frameworks which are custom-built for specific use cases. These frameworks use best practices and pre-built components which can be modified, expanded, and 

Solution Accelerators

We were founded in 2005 in a tiny apartment in Bucharest, Romania as DeskOver.

Fittingly, it was a customer who, in 2012, first saw the immense possibilities for us in the fledgling RPA market. Our desktop automation product launched in 2013. In 2015, we introduced our enterprise platform along with our new name.

Today, UiPath is the fastest-growing enterprise software company in history with scores of offices, thousands of employees, partnerships with the world’s best consulting and BPO firms, a **500,000-strong developer community**, and **5MM+ robots at work** in over **5,000 global enterprises.**

Our mission is to deliver the leading Robotic Process Automation platform to our clients for an automation first mindset.

We build software robots that automate repetitive processes. Our software robots take on the tedious, mind-numbing work and free people to do the more stimulating, creative work worth doing.

But no matter how much we’ve grown, one thing hasn’t changed. We’re still building a company we love to work for

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Telecoms have millions of customers and often struggle to proactively identify those who are extremely dissatisfied, resulting in customer churn. Churn refers to customers terminating their services and canceling contracts, which leads to revenue loss for telecoms. Winning back lost customers is also costly for telecoms, making it imperative to identify and address customer dissatisfaction before they cancel their services.

  

The Prediction Churn Solution Accelerator aims to help telecoms proactively identify customers who are likely to churn and stop acquiring their services/solutions by :

1.  Identifying patterns exhibited by churn customers & proactively identifies customers.
2.  Flagging customer alert in CRM database.
3.  Proactively sends offers based on customer preferences and experience.

The automation solution will raise a red flag for customers who have a high probability of leaving the telecom. By identifying customers who are dissatisfied or likely to churn, telecoms can take proactive measures to address their concerns and retain them. This will help reduce customer churn and minimize revenue loss, ultimately improving the telecom's business performance.

The Predictive Churn Accelerator proactively identifies customers who are likely to churn and stop acquiring their services/solutions by flagging early and sending customized offers.

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Visual Basic

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Telecoms have millions of customers and often struggle to proactively identify those who are extremely dissatisfied, resulting in customer churn. Churn refers to customers terminating their services and cancelling contracts, which leads to revenue loss for telecoms. Winning back lost customers is also costly for telecoms, making it imperative to identify and address customer dissatisfaction before they cancel their services.

The Prediction Churn Solution Accelerator aims to help telecoms proactively identify customers who are likely to churn and stop acquiring their services/solutions by :

1.  Identifying patterns exhibited by churn customers & proactively identifies customers.
2.  Flagging customer alert in CRM database.
3.  Proactively sends offers based on customer preferences and experience.

The automation solution will raise a red flag for customers who have a high probability of leaving the telecom. By identifying customers who are dissatisfied or likely to churn, telecoms can take proactive measures to address their concerns and retain them. This will help reduce customer churn and minimize revenue loss, ultimately improving the telecom's business performance.

Version	Release Date	Download Link
1.0.1	May 22, 2024
Changes: Addition of Solutions Management Deployment option Updates of Tags, applications and summary
1.0.1	March 18, 2024
Changes: Inclusion of ProjectId value for all projects (project.json)
1.0.0	July 18, 2023
Initial published version