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Why Indian retail stores are adopting computer vision

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Bhavin Kothari
Bhavin Kothari
Bhavin Kothari is the CIO and Head - Supply Chain & Logistics at ace turtle, a tech-native retail company (exclusive licensee of Lee, Wrangler, Dockers, Toys”R”Us in India). He has over 27 years of experience as a technology professional with domain expertise in fashion, home & grocery retail, manufacturing and trading.

Computer vision is emerging as a game-changing AI technology, helping retailers enhance customer experiences, optimise operations, and make data-driven decisions like never before

In today’s fast-changing retail market, staying ahead with tech is a game-changer. One of the most exciting technologies making waves is computer vision, a type of AI that helps machines understand visuals just like humans do. For Indian retailers, it’s not just about fancy tech but a solid tool to make smarter decisions and improve customer experiences.

What is computer vision?

Computer vision basically helps machines ‘see’ and make sense of images or videos. It uses advanced algorithms to spot patterns, identify objects, and gather useful insights. For retail, it’s a game-changer in operations, stock management, and customer engagement.

How it’s changing retail analytics

Traditional retail store analytics primarily depended on sales data, footfall counters, and staff observations. However, these methods often overlook crucial details. Computer vision bridges these gaps with:

  1. Better footfall insights

Have you ever wondered which sections in your store get the most visitors? Computer vision tracks movement patterns and heatmaps, helping you tweak store layouts and product placements for maximum impact.

  1. Smarter inventory management

Are you running out of products on shelves? Computer vision keeps a constant watch, alerting you to out-of-stock items or misplaced goods. No more guesswork, just efficient stocking and happier customers.

  1. Understanding customer behaviors

Imagine knowing exactly how customers explore your store! Computer vision captures data on what catches their attention and how long they browse, helping you create personalised offers and better marketing strategies.

  1. Reducing theft and shrinkage

In the retail industry, losses due to theft are a major pain point. Computer vision systems, paired with CCTV cameras, can identify suspicious activity and alert security teams instantly.

  1. Managing queues better

Nobody likes long queues! Computer vision monitors checkout lines and predicts waiting times, letting you manage counters more efficiently. Some stores have even gone cashier-less using this tech.

Why should retailers care?

The benefits of computer vision are immense:

  • Data-driven decisions: Real-time insights help retailers make better choices for staffing, stock and promotions.
  • Better customer experience: Faster checkouts, personalized offers and improved layouts mean happier customers.
  • Efficiency boost: There is no need for manual stock checks anymore. Automation makes operations smoother.
  • Competitive edge: Stay ahead with tech that transforms the shopping experience.

Roadblocks you might face

Computer vision sounds amazing, but it comes with its share of challenges:

  • Initial costs: Setting up cameras and software isn’t cheap, but the returns make it worthwhile.
  • Privacy matters: Handling customer data responsibly and staying compliant with data laws is a must.
  • System integration: It needs to sync well with your existing retail tech for smooth results.

The road ahead

The future of computer vision in Indian retail industry is super exciting. 

  • AI-powered personalisation: Imagine getting special offers just by walking into a store.
  • Cashier-less stores: Frictionless shopping experiences where billing happens automatically.
  • Deeper insights: AI will get even better at predicting what customers want.

Computer vision is changing the game for Indian retail. Investing in this technology today can give retailers a major edge in tomorrow’s competitive market.

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