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

Google DeepMind’s Demis Hassabis Wants to Build AI Email Assistant That Can Reply in Your Style: Report

OpenAI hits 3 million paying enterprise users

Verification-Guided Falsification for Safe RL via Explainable Abstraction and Risk-Aware Exploration

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 tangibility problem: How retailers can show AI’s value
Retail AI

The tangibility problem: How retailers can show AI’s value

Advanced AI BotBy Advanced AI BotJune 2, 2025No Comments4 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


Retailers recognize AI’s potential to drive efficiency, accuracy, and better customer experiences—but turning that potential into recognizable benefits for frontline workers remains a challenge. Many are still in the early stages of adoption, carefully piloting AI while grappling with data security, infrastructure, and employee buy-in.

However, the real challenge isn’t just deploying AI— it’s demonstrating its relevance and value to frontline workers. Successful AI adoption depends on showcasing how it can streamline workflows, improve decision-making, and reduce repetitive tasks. Without this, skepticism from employees and operational leaders can slow progress.

To drive adoption, retailers must shift the conversation around AI from an abstract innovation to a practical tool that enhances day-to-day work. The key question is not what AI can do, but how it helps employees perform better. The clearer the benefits to daily workflows, the more likely employees and managers will embrace it.

The Key to Winning Over Retail Workers: Tangible Benefits

Leadership teams need to promote AI features that provide clear, day-to-day advantages to associates, like tools that provide on-demand access to necessary information. In a fast-moving retail environment, every second counts—whether it’s checking stock levels, finding product details, or answering customer questions. With AI-driven systems delivering this data on the spot, employees can spend less time searching manually and more time helping customers.

Retailers must also introduce new technology gradually, rather than rolling it out all at once. A phased approach allows businesses to ease employees into the change and build confidence over time. Starting with pilot programs or small-scale implementations lets retailers test the new tools in specific areas, refine their use, and show employers how they can make work easier. As employees become more comfortable, the wider rollout will feel more natural and easier for organizations to embrace.

Building Trust in AI-Powered Workflows

Retailers cannot focus solely on AI’s capabilities—they must also navigate the broader challenges of implementation. Successful AI adoption goes beyond deploying technology; it requires careful attention to data security, infrastructure, training, and change management. If these concerns aren’t addressed, they can lead to resistance from frontline workers as well as IT and operational leaders. This hesitation is reflected in a 2024 World Economic Forum (WEF) report, which found that only 55% of employees trust their organization to implement AI responsibly and ethically. Proactively tackling these challenges is key to building confidence and unlocking AI’s full potential.

Clear communication and comprehensive training are essential. Retailers must ensure that associates feel confident using AI-powered tools and understand how they fit into their workflows. Leadership should reinforce AI’s role as a supportive force—one that enhances efficiency and customer service rather than eliminating jobs. When employees trust that AI is working for them, they’re more likely to embrace it.

Aligning AI with Business Outcomes

To drive long-term adoption, retailers must tie new technologies to clear business outcomes. It’s not just about making employees’ jobs easier; it’s about improving overall performance, customer satisfaction, and profitability. A workforce that operates more efficiently and provides better service leads to increased customer loyalty and stronger financial results.

Retailers should view these tools as part of a larger strategy for growth. By showing how they help employees create better customer experiences, they can build a positive feedback loop where both workers and customers benefit—ultimately driving better business outcomes. This approach ensures that new technologies support not just day-to-day operations, but the company’s long-term goals as well.

The Path Forward: Focus on What AI Helps Frontline Workers Do

To successfully adopt AI in retail, it’s essential to demonstrate the value that it adds for frontline workers. Retailers should focus on how AI can streamline daily tasks and enhance customer service, making it an integral part of employees’ workflows and dispelling fears around job security.

By implementing AI gradually, addressing concerns like training and data security, and fostering trust, businesses can ensure smoother transitions and greater buy-in. Ultimately, aligning AI with broader business goals—such as improving efficiency and customer satisfaction—helps create agreeable conditions where both employees and the business thrive. When AI works for employees, it ultimately drives success for the company.

To learn more about how AI  and hands-free technology can help streamline workflows for retail’s frontlines, visit Jabra.



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleEU Commission: “AI Gigafactories” to strengthen Europe as a business location
Next Article Daniel Kahneman: How Hard is Autonomous Driving? | AI Podcast Clips
Advanced AI Bot
  • Website

Related Posts

Guitar Center targets optimized inventory planning, visibility

June 5, 2025

Big Lots to reopen nearly 80 more stores

June 4, 2025

Beauty brands blend AI into operations

June 4, 2025
Leave A Reply Cancel Reply

Latest Posts

Netflix, Martha Stewart, T.O.P And Lil Yachty Welcome You To The K-Era

Closed SFAI Campus to Be Converted into Artist Residency Center

At Gearbox Records The Sound Quality Remains First

Natasha Lyonne Sparks Backlash After Quoting David Lynch

Latest Posts

Google DeepMind’s Demis Hassabis Wants to Build AI Email Assistant That Can Reply in Your Style: Report

June 6, 2025

OpenAI hits 3 million paying enterprise users

June 6, 2025

Verification-Guided Falsification for Safe RL via Explainable Abstraction and Risk-Aware Exploration

June 6, 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.