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August 29, 2022

Lenskart transforms the way it eyes data using Power BI

A direct-to-consumer omnichannel retailer, Lenskart, is one of the fastest-growing e-commerce-led eyewear retail chains in the world. It has over 1,100 stores in India and a growing presence in East Asia, Southeast Asia, the Middle East, and the US.

Lenskart aims at giving a clearer vision to 1 billion people globally from children to adults. Its eyewear range offers a variety of lifestyle extensions and unique identities for athletes, working professionals, artists, support workers etc.

Lenskart

Need to arm stakeholders with data-driven intelligence

AI, analytics, and data science underpin all aspects of Lenskart’s business value chain. The business is backed by strong data analytics starting from customer experience, store operations, merchandising, manufacturing and supply chain, sales and marketing, as well as business performance monitoring.

Lenskart was looking at bringing data-driven intelligence into the hands of users across business functions. Since all stakeholders did not have a math and statistics background, the retailer sought to convert analytics into simplified visual insights using easy and intuitive visualization tools.

Lenskart implemented a full stack solution from data engineering, analytics, and visualization. For the visualization layer, it partnered with Microsoft to implement Power BI to convert analytics into visual insights that deliver actionable insights to stakeholders across the value chain.

Driving data-driven disruption for omnichannel growth

With the lines of digital and physical purchases getting blurred, Lenskart created an omnichannel experience that allows customers to purchase from offline stores, online (apps and websites), marketplaces, over chat/calls, home try-ons, and pharmacies without friction. This made it easy for customers to discover, browse and purchase from any platform. Lenskart uses data science and analytics to make informed decisions based on data collected from different sources. Some of the key business areas where Lenskart uses data science and analytics are listed below

Key areas of data science and analytics @Lenskart
Figure 1: Key areas of data science and analytics @Lenskart

Business performance monitoring: Online, Stores, Assisted sales

With 1000+ stores across India, Southeast Asia, and the Middle East, Lenskart leverages AI driven technology channeled through Power BI to provide actionable insights. This has enabled improved efficiency, increased sales, and security at retail storefronts with minimal manual intervention and zero room for error. Some of the use cases include:

  • Store operations management and staff planning
  • Balanced scorecard, targets and tracking
  • Shopper insights for merchandising and marketing planning
  • Monitoring & improving footfall and conversion
Store Google Rating Analytics Dashboard (image for illustration purposes only)
Figure 2: Store Footfall and Conversion Analytics highlights hourly footfall at the stores (image for illustration purposes only)
Figure 3: Store Google Rating Analytics Dashboard highlights the number of google reviews and ratings at stores (image for illustration purposes only)

E-commerce: Online marketing

At the core of Lenskart’s omnichannel business model is its strong online presence across desktop, mobile, and app.

Lenskart’s  product and online teams rely on strong digital analytics to product journeys, customer behavior patterns, conversion to decrypt customers’ implicit behavior and preferences.

This enables Lenskart to create visibility of a user journey across the digital platform and analyze the touch points involved. In turn, this increases the conversion using Power BI.

Figure 4: Online Customer Journey Funnel Analytics highlights traffic across devices and user digital journey for Lenskart’s top brands (image for illustration purposes only)


Supply chain, manufacturing and merchandising

Lenskart’s direct to customer backbone is its manufacturing process, enabled by a world-class plant. Currently, the retailer ships an order every two seconds. 

The supply chain data and analytics play a key role in enabling efficiency in the following areas: 

  • Order to delivery time movement analysis and optimization 
  • Returns and product quality analysis
  • Inventory optimization analytics 
  • Plant productivity analysis


Being future-ready with data

Lenskart has a cloud first-solution approach. Data analysis has contributed significantly in increasing efficiencies across functions at Lenskart. This includes digital and e-commerce, customer experience and supply chain to achieve rapid and sustainable growth in sales.  

Looking ahead, Lenskart strives to expand aggressively in tier I and II cities across the country by setting up 25 brick-and-mortar stores a month and strengthening its hold in the market. To widen its reach further, it is looking at bringing an ‘AI Lens’ into capturing customer footfalls as it strives to deliver on its values of customer centricity and customer obsession. 

Across this journey, Microsoft continues to work closely with Lenskart to unlock meaningful insights and transform customer data into new opportunities.

Figure 5: Data Architecture @Lenskart

“The key to democratizing data across organizations is to make data science simple, actionable, and easy to understand. Power BI with its strong data assimilation and visualization power, has enabled Lenskart in building a strong data-first culture by making data and analytics available along the entire value chain,”

Saurabh Agrawal, Senior Vice President – Analytics & CRM, Lenskart

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