How RPA can make a difference in Retail
Retail, like every other industry, is undergoing a transformation to
streamline its workflow, remain competitive, and deliver superior customer experiences.
It is leveraging digital technology to remain relevant and attractive to the
new-age digitally-savvy customers. The retail industry is facing a challenge of
sorts in terms of changing customer expectations and the need to provide high
user satisfaction. Robotic Process Automation or RPA is one such technology
that can offer an optimum solution to the retail industry. RPA in retail can be leveraged to
automate the workflow comprising a number of repetitive tasks in customer
engagement, inventory management, bill generation, loyalty scheme management,
and business reporting. Even statistics predict a significant role of robotic process automation in retail by
touching USD 6.10 billion by 2027 at a CAGR of 24.9% (Source: Fortune Business
Insights.)
The impact of robotic
process automation in retail in improving the auditability of its workflow
and garnering better data analytics is increasingly being looked at to improve
scalability and customer experience, and reduce cost. The four areas in retail
where RPA can make a significant difference are:
How RPA can impact retail in four areas
Today, retailers have to operate on multiple levels to reach the
customers on-the-go. The brick-and-mortar stores are complemented with the
digital interfaces of e-commerce stores that can be viewed across device
platforms. To ensure the convergence of real and virtual works seamlessly, RPA,
along with a robust retail testing
strategy should play a crucial role. The four areas where RPA can
address the challenges of the retail industry are:
#1 Business and data analytics: Retail decisions,
namely related to product introductions, trade promotions, and churn rate are
heavily dependent on analytics. Here, RPA algorithms process a humungous set of
data obtained from multiple sources in real-time to get a comprehensive and
incisive picture of customers and their preferences about products or specific
aspects of a product. RPA can predict the changing market trends and give
retailers the insight to craft a risk mitigation strategy like optimizing stocks
or incorporating retail test automation
in the value chain, among others. The reports generated by RPA after analyzing
real-time data can throw light on the hidden trends, customer dissatisfaction,
and the steps to be taken to retain them.
#2 Store planning and inventory management:
One of the
high selling points to increase sales is to arrange the retail store according
to customer preferences. This store planning can help customers to complete the
purchase early without hassle. However, in modern retail where multiple factors
drive or affect sales, a technology like RPA can help to analyze the nuances of
customer behavior and offer deep insights. These can help retailers to
refurbish their stores to fit customer expectations, enhance customer experience,
and boost profits.
#3 Customer support: Customer support is at
the core of any retail strategy. To provide 24 x 7 customer support, many
retailers are opting for automated bots. These bots can respond to a large
number of customer queries such as tracking orders and payments or providing
updates on product launches, discounts, or price change, among others. However,
these bots need to be put through a comprehensive retail
testing services being
implemented to ensure they function seamlessly.
#4 Supply chain management: The successful
operation of any retail store depends on the management of its supply chain.
So, between receiving products from vendors and delivering them to the
customers, there are several processes involved. These include inventory
monitoring, shipment, and tracking order status, among others. With RPA, the
logistics process can be automated leading to better collaboration between
suppliers, vendors, distributors, and customers. It can lead to cost
optimization and reduction in waste thereby offering better levels of customer
satisfaction.
Conclusion
The retail industry can leverage the RPA technology to better organize
the activities of their value chain. It helps to eliminate the repetitive
manual processes and associated errors leading to customer satisfaction. In a
competitive business landscape, the application of RPA and retail
testing strategy can deliver better profitability and
competitiveness.
Resource
James Daniel
is a software Tech enthusiastic & works at Cigniti Technologies.
I'm having a great understanding of today's software testing quality that
yields strong results and always happy to create valuable content & share
thoughts.
Article
Source: nasscom.in

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