Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

Mistral AI models ’60 times more prone’ to generate child sexual exploitation content than OpenAI

DeepSeek-Prover-V2: Bridging the Gap Between Informal and Formal Mathematical Reasoning

Qwen 3 Open Source Hybrid AI Beats Deepseek R1 : Performance Fully Tested

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • Adobe Sensi
    • Aleph Alpha
    • Alibaba Cloud (Qwen)
    • Amazon AWS AI
    • Anthropic (Claude)
    • Apple Core ML
    • Baidu (ERNIE)
    • ByteDance Doubao
    • C3 AI
    • Cohere
    • DataRobot
    • DeepSeek
  • AI Research & Breakthroughs
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Education AI
    • Energy AI
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Media & Entertainment
    • Transportation AI
    • Manufacturing AI
    • Retail AI
    • Agriculture AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
Advanced AI News
Home » The shelf as a data goldmine: Leveraging shelf edge analytics for smarter merchandising
Retail AI

The shelf as a data goldmine: Leveraging shelf edge analytics for smarter merchandising

Advanced AI BotBy Advanced AI BotMay 12, 2025No Comments3 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


Imagine walking into a bustling supermarket, where every shelf is not just a display but a sophisticated data collection point. This is the reality that VusionGroup is bringing to life with cutting-edge shelf edge analytics technology. For retailers, this innovation is transforming the way they understand and respond to shopper behavior, ultimately optimizing merchandising strategies and enhancing the buying journey.

How Shelf-Edge Analytics Work

Consider a typical day at a typical retail store. Shoppers move through aisles, picking up products, examining them, and sometimes putting them back. Each of these interactions is a potential data point. Connected shelf edge technologies, such as electronic shelf labels (ESLs) and smart sensors, capture these interactions in real-time. They track metrics like product touches, dwell time, and shopper paths, providing a wealth of information about customer preferences and behaviors [1].

Benefits of Shelf-Edge Analytics

With this data, retailers can make informed decisions about store layouts. For instance, a major supermarket chain using VusionGroup’s technology discovered that certain high-traffic areas were underutilized. By strategically placing popular products in these zones, they saw a 15% increase in sales for promoted items [2]. Understanding shopper flow patterns also allows for the creation of more efficient and engaging store designs, reducing congestion and enhancing the overall shopping experience.

Shelf edge analytics enable retailers to tailor promotions more effectively. Imagine discovering a particular product is frequently interacted with but rarely purchased. This insight can lead to targeted marketing campaigns, such as timely discounts or promotional offers, converting interest into sales. One retailer reported a 20% increase in conversion rates after implementing data-driven promotional strategies [1].

Accurate data collection at the shelf level helps retailers manage inventory more efficiently and more effectively. Near real-time insights into product availability and movement prevent stockout situations, ensuring that shelves are always optimally stocked. This not only improves customer satisfaction but also reduces waste and operational costs. According to a recent study by the IHL Group, retailers miss out on $1 trillion in sales annually due to out-of-stocks [2].

Data-Driven Success Stories

In one instance, a supermarket chain integrated VusionGroup’s IoT platform and electronic shelf labels with a third-party software to manage higher volumes of online orders. This integration enabled a “Pick to Light” system, where the corresponding shelf label flashes to help shoppers find products quickly. This resulted in a 1% sales lift, a reduction in product substitution by one item per order, and a time savings of 45 seconds per order .

Another retailer, focusing on managing 10,000 SKUs across multiple large-format stores, implemented a digital platform that included mini-cameras, electronic shelf labels, and dynamic Engage Rails. This platform improved on-shelf availability by 3% and increased sales of highlighted brands by 13% within two months .

A different retailer, with a promotion-heavy business strategy, faced challenges in ensuring pricing compliance across all stores. By implementing electronic shelf labels and dynamic Engage Rails, they reduced the time spent on pricing and promotion tasks from several hours to just 15 minutes, allowing more time for customer service and resulting in a sales lift for promoted products .

The integration of connected shelf edge technologies is transforming the retail industry, providing retailers with the tools to make data-driven decisions that enhance merchandising strategies and improve the shopping experience. As these technologies continue to evolve, the potential for smarter, more responsive retail environments will only grow, positioning companies like VusionGroup as leaders in this innovative and rapidly growing sector.

References

[1]: Shelf Analytics | Retail Analytics Solution – Vision Genius

[2]: How To Quantify The Benefits Of AI-Driven Shelf Digitization – Forbes



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleWhich Is a Better Investment, C3.ai, Inc. or Bitdeer Technologies Group Stock?
Next Article Study: AI-Powered Research Prowess Now Outstrips Human Experts, Raising Bioweapon Risks
Advanced AI Bot
  • Website

Related Posts

The Weekly Closeout: Hudson’s Bay lands ‘several’ bids and Trump threatens Mattel with tariffs

May 9, 2025

Mattress Firm taps AI platform to improve inventory flow

May 8, 2025

UK authorities warn of retail-sector risks following cyberattack spree

May 8, 2025
Leave A Reply Cancel Reply

Latest Posts

How To Get The Most Out Of It

Pearl Charles Channels Her Love For The ‘70s On New LP ‘Desert Queen’

Open Restitution Africa Aims to Change Conversations on Restitution

Koyo Kouoh, curator appointed to lead the 2026 Venice Biennale, dies

Latest Posts

Mistral AI models ’60 times more prone’ to generate child sexual exploitation content than OpenAI

May 12, 2025

DeepSeek-Prover-V2: Bridging the Gap Between Informal and Formal Mathematical Reasoning

May 12, 2025

Qwen 3 Open Source Hybrid AI Beats Deepseek R1 : Performance Fully Tested

May 12, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

YouTube LinkedIn
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.