Data Analytics in Retail Industry
Retail Analytics
Why big data is a big deal?
The evolving COVID-19 situation is complex, causing the retail industry to witness a drastic
change and a considered and well managed response by retailers will have a major bearing on
how well they ride these waves. Retailers are now looking up to Data Analytics to have that extra
competitive edge over others but most importantly, to be able to survive the pandemic.
Data Analytics in this industry helps retailers in finding better ways to reach the customers,
predicting their demand, personalizing the experience of customers, ensuring customer
satisfaction, and most importantly, improving their business’ operational efficiency.
Personalizing customer experience
The success of any business is solely based on how happy their customers are and how well they
are being served. A happy customer is the one who is loyal as well. Data analytics will help
retailers in anticipating a customer’s demand and therefore empower them in taking effective and
customer-centric decisions and thus personalizing their marketing based on consumer data.
Anticipate demand
To survive in the ever-advancing technological and social media world, retailers are supposed to
be a step ahead of the customers. Through data analytics, retailers will be able to generate
insights on customer habits which would help them in understanding their products and services
which are most in-demand and the ones they should stop offering. It would also empower them
to predict the next big thing in the retail industry and then fabricate new products according to
the current trends in the market.
Customer relationship management
Retailers are also focused on using analytics to identify new sources of revenues to improve top
line growth, as well as identify and implement profitable customer relationship management
(CRM) strategies. To fully leverage big data in today’s retailing environment, CRM strategies
must be location specific, time specific and channel specific in addition to being customer specific.
Gain insight on customer journey and behavior
As your customers interact with your brand across channels, retail analytics can help you
understand their behavior all along their buying journey. This insight can help you build stronger
relationships by informing the types of offers and experiences you provide.
Optimize supply chain management and logistics
Enterprises can also use retail data to optimize back-end supply chain management and logistics.
Modern data analytics systems allow retailers to use all of their historical purchase and stock
data to more accurately predict demand for products and dynamically manage their inventory
levels. A retailer can use this data to target locations with a high density of consumers that are
underserved in its retail market.
How can data analytics help retailers improve operational performance?
Operational decisions: To improve operational performance across all channels, retail data
analytics can help retailers and suppliers monitor store-level demand in real time to ensure
bestselling items remain in stock.
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industry.
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