This document discusses 7 different use cases for robotic process automation (RPA) in industries like media and entertainment. The uses cases are: 1) Device activation processing, 2) Customer management for network expansion, 3) Automating service requests, 4) Frequent metadata updates, 5) Structured and unstructured content creation, 6) Content discovery through keyword analysis, and 7) Grouping files and emailing documents to customers. RPA can help reduce processing times, streamline repetitive tasks, ensure updates are correct, create content automatically, enhance search and engagement through metadata, and distribute documents securely to customers.

1. Use cases of robotic
process automation
in
Abhinav Sabharwal Principal
Consultant & Trainer @ School of RPA

2. 1. Device activation
• We can all agree that we live in the
century of fast action, right? Media
companies must ensure that mobile
devices can be swiftly activated, in
order to live up to customers’
expectations. Software robots can
efficiently work across several
systems in parallel, which drastically
reduces processing times for device
activation from days to hours.

3. 2.Customer management
• There is a growing demand
worldwide for network expansion,
since hardly any household
considers itself ‘complete’ without
services like broadband access to
internet, cable TV
• This is part of streamlining the
expansion process, a part that is
characterized by being repetitive,
high volume, and rule based. All
these are process features that call
for RPA.
• With the help of software robots,
the company’s sales team can be
more proactive by tracking the
construction sites and knowing

4. 3. Service requests
• Network expansion also brings in
the challenge of dealing with more
demands from a higher number of
clients, who are increasingly aware
of their rights to have their
complaints addressed in due time.
• Automation of service requests by
RPA can deliver satisfactory
resolutions regardless of the
typical, daytime working hours.
• Bots’ capacity to work around the
clock perfectly serves the goal of
reducing customers’ waiting times,
thereby increasing their satisfaction
and ensuring a higher level of
retainment.

5. 4. Metadata updates
• Metadata specifications must be
updated rather frequently by media
and entertainment companies in order
to remain consistent with the ever
changing standards imposed by
audience preferences, and thus
maintain their earning potential.
Manual updates are not only error
prone, but they also involve higher
incurring costs. On the other hand,
deployment of software robots to auto
update metadata ensures access to
state-of-the-art, correct

6. 5.Content creation
• Structured news content, whether we
talk about earning reports, latest
results in sport competitions, or even
advertising, can be easily automated.
• RPA in combination with AI
technologies leads to intelligent
automation, which can be used even
for the creation of less structured
content.
• The bots can track trending news
online, and then automatically create
top relevance posts.
• The above mentioned metadata
updates can also be leveraged for
content preparation for Subscription
Based Video on Demand (SVOD)

7. 6.Content discovery
• Even basic metadata like title, episode
name, or synopsis, can be exceedingly
complex for archived content.
• Iintelligent automation can be used to
deal with both structured and
unstructured data, and to isolate a higher
number of more specific keywords, e.g.,
props in a scene.
• The keywords can be included along the
timeline in a video, resulting in much
richer metadata. The outcome? The links
established between previously
independent content optimize search
and, consequently, enhance audiences’
engagement
• Moreover, content as well as promotions
can better target specific audiences
based on relevance.

8. 7. Grouping files and emailing to customers
• Use of screen scraping, Optical
Character Recognition, or basic
pattern recognition technologies
facilitate data extraction from PDF or
Excel documents, which reduces the
need to key in data.
• Bots’ capacity to access documents
across multiple systems allows them
to group the PDFs into zip folders
according to customers’ names
encountered in Excel sheets.
• Subsequently, bots can collate the
PDFs, encrypt them and, after
identifying the address in Excel, email
them to clients