Uplift your Sales with Retail Analytics and Big Data (1)
                     Uplift your Sales with Retail 
Analytics and Big Data
With the prominence of data science, businesses started realizing the importance of 
investing in retail analytics solutions. 
Improve your sales with Retail Analytics and Big 
Data
The retail industry is an extensive storehouse of data, including customer data, supply chain data, 
merchandising data, sales data, etc. Ironically, most of these valuable databases largely remained 
untapped till a decade ago. With the prominence of data science, businesses started realizing the 
importance of investing in retail analytics solutions. 
Data-backed insights are more precise as opposed to guesswork or gut-driven directives. With new-
age, data-centric retail enterprises garnering astounding success, it is evident that data-backed 
decisions drive higher sales and profitability.
Here are five proven techniques to boost your retail sales and profitability with data analytics: 
Embrace Planogram Automation:
Using the right retail planogram software can 
bring about incredible transformation in your 
store’s merchandising. For instance, turning 
around a store for the festive season, end-of-
season sale, or showcasing new products 
can be challenging. The entire layout 
requires planning, designing, and execution 
from scratch. Automated planograms can 
achieve a high level of precision and 
meticulousness.
Use the Right Retail Analytics Solutions for Predictive Analytics:
The retail industry is a customer-
focused industry, i.e., retail strategies 
primarily aim to cater to the latest 
consumer requirements. Since 
consumer trends and preferences are 
highly dynamic, relying on gut-
based/instinctive planning is too risky. 
AI-run predictive analytics tools and 
algorithms can yield concrete data and 
actionable insights to steer your retail 
business decisions in the right 
direction.
Focus on the Metrics that Matter:
A common mistake of most 
retail businesses is paying attention to 
retail figures that don’t matter much. 
Based on your customer profile, products, 
and outlet specifications, a proficient 
analytics team can assist you with metrics 
that matter. The best example is that of 
store footfalls metrics. Sensors for footfall 
counting will take the headcount of every 
individual that enters the store by default. 
But if you have families/large groups 
frequently visiting your store, taking an 
individual headcount will yield misleading 
footfall figures.
Provide In-Store Virtual Assistance:
Virtual Assistants are not in vogue from 
the customer service point of view. They 
can be an excellent mode of collating 
crucial data on the latest customer 
preferences. In the current Covid-19 
situation, virtual store assistance can 
deliver a personalized yet contact-free 
shopping experience.
Rely on a Holistic POS System:
Gone are the days when POS systems’ task was to compute and accept payments. Today, a holistic retail’s POS 
system is the focal point of your daily store SOPS, reports generation, and employee accountability. If you want to set 
up new retail stores or transform existing ones, opt for a cloud-based, digital, and wireless POS system. Such a 
system will boost your operational capabilities and enhance the customer experience.
Conclusion
Merely capturing customer data or gathering supply chain data will not help propel your retail business ahead. 
These can be converted into actionable insights to drive effective business decisions with the right AI tools and 
algorithms. Big data can revolutionize your performance, whether it is the cutting-edge retail planogram software, 
holistic POS systems, or predictive analytics. Leveraging the right metrics will steer progress on all fronts- retail’s 
operations, merchandising, sales, brand-building, and CRM.
                              Contact us :- 
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