How can In-store Customer Engagement be done Safely with Video Analytics?

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How Can In-store Customer Engagement Be Done
Safely With Video Analytics?
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(No Transcript)
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Introduction In-store engagement refers to the
physical interaction of customers and potential
customers with your brand and the people who
manage it in a brick-and-mortar business or
commercial property. In-store engagement is an
act of getting the customers into the store to
induce customer engagement. Although the
Covid-19 pandemic has accelerated various
e-commerce trends, physical stores are not going
anywhere because people relish the idea of
shopping in physical stores. In-store engagement
is here for the long run, and its ability to
utilize the technology at its disposal is the key
to its survival. Importance of in-store
Engagement In-store engagement is essential
because it creates an emotional connection
between the customer and the brand and builds a
buyer-seller relationship. It aids in increasing
customer loyalty towards the brand by providing
them with an improved customer experience through
engaging environments. In-store engagement
promotes valuable customer feedback, which gives
them a sense of importance and positively affects
the overall brand experience.
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Why Should Businesses Focus on it? Businesses
must keep in mind that the in-store experience
for a customer is like an age-old tradition that
they cannot overlook. But with the increasing
advancement in the technological field, they
expect up-gradation in their experience.
Therefore, businesses have to adopt these
cutting-edge technologies such as intelligent
video analytics for customer satisfaction. It
will boost their sales and eventually assist in
the growth of the company. A boost in sales
indicates a higher return on the investments made
by the retail business. Check out Wobots
competitive business intelligence with the aid of
video analytics to help stay aware and ahead of
the latest business trends. How AI helps?
With the advancement of critical technology like
artificial intelligence (AI) over the years,
their application has dramatically increased due
to Covid-19. It bridges the significant gap
between virtual websites and physical stores in
real-time. In todays time, brands and businesses
need to reimagine the overall in-store experience
of their customers, and technology is a critical
ingredient in the same. AI-based technologies
such as video analytics help with daily task
management, and with its extensive set of data
combined with detailed algorithms achieve
operational efficiency. Discussed below are few
significant benefits that every business can
derive by integrating AI-based technologies into
their daily functions
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1. Acquisition AI-powered technologies can help
a physical store in attracting more customers. It
processes customer and sales data and develops an
understanding of products and the people who
purchase them. This understanding allows
businesses to accurately advertise to meet the
customers needs and offer relevant promotions
and discounts to attract new customers. Moreover,
gathering these valuable insights improves the
performance of the business and eventually
achieves efficiency. 2. Customer Basket
Expert systems powered by AI uses self-learning
algorithms to make new recommendations and offer
promotions and discounts. It is impactful in
increasing the basket size of individual
customers. Furthermore, these algorithms could
help customers point out where the items they are
looking for are kept, thereby cutting down on
waste time and delivering a seamless and engaging
environment. 3. Shopper Experience Retailers
can use cutting-edge AI-based technologies such
as video analytics to optimize shopper experience
in retail stores in several ways. It can treat
customers priorities by providing them with
personalized offerings and guide them through
their needs. Personalized offerings will appeal
to the customers emotions and will help in
building customer and brand loyalty. AI-based
technologies can enhance brand loyalty in the
eyes of their customers to multiply sales.
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4. Business Strategy AI-driven management can
benefit businesses in multiple ways. Allowing AI
to manage preferences will enable enterprises to
make smarter decisions, stay ahead of their
competition and bring down the waste generated.
Integrating AI into your everyday operations can
also help you in staying ahead of trends. The
advent of AI has brought about an impeccable
change in the management of businesses. In this
section, we will see how AI-powered intelligent
systems such as video analytics can be helpful in
the day-to-day functioning of your retail
business to induce greater customer engagement.
Please look at Wobots checklists and their
importance for a retail business to determine the
growth of your brand. How does Video Analytics
Help? Video analytics is a modern-day
technology that uses digital video signals using
unique algorithms to automate process compliance.
In other words, it is computers monitoring
cameras monitoring tasks. Here are a few ways in
which video analytics helps enhance the in-store
engagement of your business
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1. Safety Measures Amidst the Covid-19 crisis,
ensuring safety and hygiene has become the
topmost priority of every individual, starting
from retailers to customers. Face masks have
become the new normal in todays time. However,
it is not humanly possible to ensure that every
customer and staff has worn a face mask in every
nook and corner of the store. Video analytics has
smoothened this process by enabling face mask
detection and other safety protocols such as
social distancing and crowd count. It provides
the customer with a safe and valuable experience
in the store. 2. Control Crowd Gathering The
Covid-19 pandemic is a severe situation that has
made people aware of their hygiene and care. In
this scenario, it also becomes the retailers job
to ensure that their customers are safe by
providing them with a safer surrounding and
ensuring that their customers follow all safety
protocols. The use of video analytics becomes
very useful to take care of these as retailers
can detect breaches such as crowd gathering
faster and better in specific parts of the store
and the whole store. It enables the staff to take
immediate measures while relying on such data.
3. Reduce Wait and Queue Time Video analytics
help reduce queue time by taking real-time video
footage and detecting and analyzing instantly to
identify the precise location of each customer
within a certain radius, inherently boosting
customer service performance and reducing
unnecessary queues. Having an idea about the wait
time ensures better engagement as it makes the
customers feel valued.
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4. Personalized Targeting Video analytics can be
combined with facial recognition to generate
demographic-based data, generating more
personalized targeting, thereby delivering more
in-store experience. It can further detect the
dwell time of customers on a particular shelf
generating personalized data for boosting the
in-store customer experience. Retailers can then
use the data to create density heat maps for more
efficient marketing campaigns. 5. Maximize
Store Layout Retailers can apply video
analytics in their stores to maximize store
layout and product placement. For instance,
electronic shelf labels can be combined with
video on the shelf to detect out-of-stock items.
This information provides an engaging environment
for the customers, thereby delivering greater
in-store engagement for them. 6. Measure Crowd
Strength Video analytics can be used inside
stores to measure crowd strength and to determine
peak hours. Footfall analysis comes in handy in
the retail business as it lets them know when a
customer leaves the store without purchasing any
product. It further enables the manager to know
about the peak hours to schedule the appropriate
staff to meet customer demand, thereby increasing
the chances of better customer engagement.
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7. Heatmap-Align Staff Placement Heatmaps track
the movement of the customers in the store. It
plays a vital role in generating data on the
minimum and maximum visited areas of their store.
With the understanding of these insights, the
store managers can reimagine their promotional
strategies and placement of products and staff to
serve the customers better. 8. Security-check
Video analytics is crucial as a security system
as it provides powerful tools to security
personnel against theft and burglary. It offers
assistance such as intrusion detection and camera
tampering by which retail businesses can get
real-time information on security issues.
Further, with video analytics, retailers can get
instant notifications on critical threats such as
gun detection and instances when the security
guards are not present on their respective posts.
It improves the stores security making it more
reliable for the customers, thereby increasing
their engagement. Conclusion Intelligent
video analytics converts difficult-to-organize
data and automates the step that humans would
otherwise take to complete analysis exhaustively
into insights, statistics, and ideas using more
agile techniques. It not only saves time but also
improves efficiency, and businesses can achieve
greater operational agility. Thus, it has become
a reliable medium in the retail world.
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About Wobot.ai Wobot.ai is your one-stop
platform specializing in video analytics in
retail stores to enhance the customers
experience. We believe that intelligent video
analytics is the new normal, and with our
AI-powered checklists, we aim to deliver
efficient process compliance management and
customer satisfaction. Publish Link
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