Retail Data Analytics Solutions

Leverage data analytics
to formulate conducive
Retail & ECommerce
Retail is a demand and supply business that is driven by customer behaviors (buying and usage patterns), the right assessment of needs, understanding of pain points, and consumer experience. And all these are possible only by optimal use of business intelligence (BI) in Retail and dependable predictive models.
It helps you to make informed and data-driven decisions by understanding customer purchase behaviour (daily, region-specific, seasonal/festival), for planning the next marketing and promotional activity.
E-COMMERCE is an incredibly dynamic world of business where data and equations vary with trending or changing situations. Insights garnered from BI for eCommerce play a defining role in improving your business positioning.

Besides, analytical insights like customer browsing pattern, purchase history, cart abandonment rate, including merchandising issues from under-performing inventory to out-of-stock products, etc. BI experts at Data Nectar can help formulate a conducive eCommerce data strategy to improve your bottom-line.
Data Nectar Technosys leverages the power of business intelligence and data analytics to turn the amassed data from your retail POS (Point of Sale) into actionable insights. Besides creating data strategies for retail businesses, we offer rich, on-demand reporting, and comprehensive data analysis to build BI solutions for the retail industry. We provide businesses with the most minute insights like how your customers react to marketing activities, to what is the best-selling product across your retail stores.

Comparison reports on brands and SKUs to Performance reports by region, store, department, product category, etc. we help your business understand demand and optimise staffing and inventory to boost business growth. We also leverage the power of BI to help set up efficient omnichannel retailing as there is a trend of a gradual shift from offline stores to omnichannel sales.

Are you looking for bespoke BI solutions for your Retail/
eCommerce business?

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Featured case study

sales analytics

Deciphering retail kpis


This metric is calculated on the basis of the number of sales you generate per square foot of sales space in your store (excluding the fitting rooms & inventory space). Implement smart sales and retail productivity tactics to improve the KPI.


This KPI focuses on the duration customers spend in the store. A prolonged stay is assumed to most likely lead to a purchase. Thereby, retail shops strategise on the shop floor layout that will showcase the maximum products on offer.


This metric showcases the number of loyal customers who revisit your store to make a purchase. Besides, this KPI gives you an insight into product performance, customer service, and loyalty to further create loyalty programs and community building initiatives.


This KPI helps determine optimal inventory levels and is measured by the number of times your retail stock or goods is sold through, in a given time. Businesses with low inventory turnover need to avoid over-ordering of products.


This metric refers to the loss in inventory caused by factors other than actual sales like shoplifting, theft, supplier fraud, or an administrative glitch. The purpose of tracking this KPI is to restrict the occurrence of such events and shady practices.


This key retail KPI is derived by dividing the total value of all in-store transactions by the number of (sales) transactions. This data gives insights on whether buyers are spending on expensive products or buying in large quantities.

There are more Retail KPIs that could add value to your decision-making process

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Decoding e-Commerce kips


This metric refers to the sources directing the most visitors (traffic) to your eCommerce website. This valuable data allows you to make an informed decision on what to focus on - organic search or PPC ads, besides also indicating what isn’t working if referral traffic is low.


This KPI maps the customer journey from a visitor to the first purchase made through your website. It will vary for every customer, based on the number of website visits that have led to conversions.


Calculation of the average CLV gives you a glimpse into the potential lifetime spend of a shopper. This important KPI gives marketers the direction to formulate their marketing and acquisition strategies accordingly. Improving CLV is important, as customer retention is cheaper than acquisition.


One of the most closely monitored eCommerce KPI, Churn Rate refers to the rate at which you have lost subscribers of your services, annually. Calculated from the starting number of subscribers to the lost numbers, a high churn rate is not sustainable.


This is a significant KPI that applies to every visitor who is leaving your eCommerce website without making a purchase. A high bounce rate indicates that a large number of your website visitors aren’t finding what they want and thus need immediate attention.


This crucial KPI refers to the percentage of online shoppers who add items to cart on your eCommerce website, but (abandon cart) never complete the purchase process. This metric down the sales funnels mostly indicates some problem in the checkout process.

There could be more KPIs that could add value to your decision making process

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