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Opportunities RPA (CX) / Data science

IzabelLeonardo
Level 2
Olá!

Quais são as oportunidades/cases de RPA sendo aplicadas à jornada do cliente (CX) e agregando inteligência com data science/machine learning ?
Atenciosamente.

Hello!
What are the RPA opportunities/cases being applied to the customer journey (CX) and adding intelligence with data science/machine learning?
Best Regards.



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Izabel Leonardo
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4 REPLIES 4

Hi Izabel,

With the machine learning and data science no doubt you can leverage the power of RPA to new heights really. I will tell you someone of the Proof Of Concept's that I were a part of in my previous organization. We create automation solutions around few such use cases, some of the notable ones were:

1) Fraud detection based on the credit history of certain subsets of customers who were high priority ones for the client that I was working for. So as a part of the audit practices we created a deep learning model based on CNN algorithm which was able to give somewhat of good prediction score for these customers. However the only challenge we faced was lack of training data and I think this is one of the big blockers when you go with a technology like Machine Learning. Even if you have the data, the skewness and the abundance of noise is something which always is going to be a challenge.

2) We created a Hackathon project based on the X-Ray detection of the COVID samples which incorporated both Deep Learning model and Augmented Reality as one of the UI's which showed the dashboard of the current cases that were around.

3) We also created another hackathon project based on the Ticket classification of a IT industry based on our model trained on Azure LUIS which in turn classified the type of the query and would then feed that data to the bot so that it can create an automated Service Now ticket with proper classification and also would reply the user with the ticket initiation template that would be in the same language as what the user would be sending the query email in. So we used Google Translate API's to convert and understand the language and based on that the model would receive the inputs and would generate the outputs for us.


Like this there are multiple other areas as well like chatbots where RPA integration is taking a huge part. Looking forward to more replies as well on this interesting topic!



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Regards,
Devneet Mohanty
Intelligent Process Automation Consultant | Sr. Consultant - Automation Developer,
Wonderbotz India Pvt. Ltd.
Blue Prism Community MVP | Blue Prism 7x Certified Professional
Website: https://devneet.github.io/
Email: devneetmohanty07@gmail.com

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Hope this helps you out and if so, please mark the current thread as the 'Answer', so others can refer to the same for reference in future.
Regards,
Devneet Mohanty,
SS&C Blueprism Community MVP 2024,
Automation Architect,
Wonderbotz India Pvt. Ltd.

esaugos
Level 6
Hi @Izabel Leonardo,

Being part of Telecommunication sector, We are working on the Chatbot concept using RPA to provide real time alerts to customers incase any network faults are observed in their mobile/ wireless network. The alerts will be based upon by tracing network congestion in a particular area or any hardware faults by checking the network KPIs and any major and critical alarms in  the target applications of the customer.​

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Saurabh Goswami
RPA Architect
Ericsson
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Saurabh Goswami

Hello Isabel,

One of the POC that we did last year was using sentiment analysis with RPA.
The process reads emails and based on the email body and its content, the bot will provide a score based on sentiment.
If the user is satisfied or unsatisfied bot would drive the next workflow accordingly to forward the email to a specific team to handle further.
Sentiment analysis can have many use cases to enhance customer experience.

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Thanks & Regards,
Tejaskumar Darji
Sr. RPA Consultant-Automation Developer
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RaviKumar3
Level 5
Hello Izabel,

RPA can be seen as the 'brawn' of performance and AI as the 'brains'. Rule-bound RPA completes tasks more efficiently and accurately than humans, particularly in service industries. RPA meshes well with existing infrastructure and delivers results quickly. AI, however, learns and improves over time, offering long-term benefits. Both these technologies complete tasks that would be time-consuming or challenging for humans.

A very good example of this model in telecom industry- We have millions of nodes in network and for human its very difficult to predict the issue but AI/ML model is very useful here to predict the issue. But what is next after the prediction? Here RPA comes into picture which can perform the action based on the inputs given by AI/ML model.


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Ravi Kumar
Sr Automation Designer
Ericsson
Asia/Kolkata
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