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

Reinforcement Learning Scaling Trends: Insights from Andrej Karpathy on AI Business Opportunities in 2025 | AI News Detail

Google’s Newest AI Model Acts Like a Satellite to Track Climate Change

‘Could fundamentally change how we power our world’

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • OpenAI (GPT-4 / GPT-4o)
    • Anthropic (Claude 3)
    • Google DeepMind (Gemini)
    • Meta (LLaMA)
    • Cohere (Command R)
    • Amazon (Titan)
    • IBM (Watsonx)
    • Inflection AI (Pi)
  • AI Research
    • 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
    • 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
  • AI Experts
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • The TechLead
    • Matt Wolfe AI
    • 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 Tools
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
  • AI Policy
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
  • Business AI
    • Advanced AI News Features
    • Finance AI
    • Healthcare AI
    • Education AI
    • Energy AI
    • Legal AI
LinkedIn Instagram YouTube Threads X (Twitter)
Advanced AI News
Retail AI

Retail buying evolved: how AI and buyers can work together

By Advanced AI EditorAugust 4, 2025No Comments4 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


It’s no secret AI is reshaping retail buying. Recent research shows it now takes only 15 minutes to quantify supplier offers (versus 45 minutes pre-AI). For one retailer, the time it takes to prepare tailored feedback dropped from an hour to a mere 20 minutes.

The most successful buyers aren’t being replaced by technology; they use it to amplify what they do best. Instead of spending hours on routine tasks, they’re using AI to dive deeper into strategic relationships and market analysis. That shift isn’t just about efficiency; it’s about unlocking entirely new ways to add value and become indispensable.

AI’s role in automating routine buying tasks

When AI automates routine processes, it enhances efficiency and accuracy while freeing up valuable time. Many buyers already take advantage of this technology to easily complete menial tasks and refocus on more strategic work. Here’s how AI enhances buying processes:

Inventory forecasting: AI taps into historical sales data, seasonal trends and real-time analytics to precisely predict inventory needs and reduce the risk of stockouts or overstocking.
Vendor communication: Routine inquiries, updates and follow-ups with suppliers are handled seamlessly, speeding up communication and response times.
Order processing: Manual errors are eliminated, and the order lifecycle speeds up.

The impact? Buyers have more bandwidth to focus on big-picture items like strategic decision-making, relationship management and creative problem-solving. 

The (non-AI) skills helping buyers thrive

While AI can take on routine tasks, the role of retail buyers is still evolving. The future of retail buying lies in leveraging human expertise to complement the capabilities of AI. Refining these skills while implementing AI will help retail buyers stand out:

Relationship building: Trust and authentic connections are at the heart of strong vendor and stakeholder partnerships. This is where buyers shine: negotiating better deals and fostering long-term collaboration relies on the uniquely human ability to build meaningful relationships.
Market trend analysis: While AI can identify patterns in data, it’s the buyer’s experience, nuances and intuition that transform those insights into actionable strategies. Understanding consumer behavior and anticipating emerging trends is crucial for staying ahead.
Negotiation strategies: Effective negotiation requires creativity, empathy and adaptability, qualities that AI cannot replicate. Skilled buyers use these traits to navigate complex discussions and secure mutually beneficial outcomes.

The buyers who thrive aren’t competing with AI; they’re using it to amplify uniquely human strengths with data-driven precision.

Future-ready skills that will set you apart

To stand out among the competition, retail buyers should actively work to evolve their existing skillsets in response to the creation and use of new AI tools. Here’s how to future-proof yourself:

Develop data fluency: Understanding which AI insights matter and how to act on them separates good buyers from great ones.

Pro tip: Take courses in data analytics or familiarize yourself with retail-specific AI platforms.

Build technical confidence: You don’t need to become a programmer, but knowing how AI tools work helps you use them more strategically.

Pro tip: Explore training programs or certifications focused on emerging technologies in retail.

Strengthen strategic thinking: AI excels at pattern recognition, but buyers bring the market intuition and relationship insights that turn data into decisions.

Pro tip: Practice brainstorming out-of-the-box solutions and challenging assumptions in everyday tasks.

Deepen vendor partnerships: The human element becomes more valuable when routine communication is automated. Focus on building relationships that drive long-term value.

Pro tip: Attend networking events, workshops and seminars to refine your relationship-building expertise. 

Buyers who proactively develop these skills can confidently adapt to new technologies, excel in their roles and remain indispensable contributors to their teams. It’s not about choosing between AI or humans. It’s about boosting productivity between the two.

Buyers empowered with AI

Leading retailers are discovering something interesting: when AI handles routine forecasting and order processing, they don’t just save time. They uncover strategic opportunities they never had the bandwidth to explore before.

Here’s what that looks like in practice: instead of spending hours reconciling supplier data, they’re analyzing market trends that inform six-month buying strategies. Rather than chasing down order confirmations, they’re building the vendor relationships that secure better terms and exclusive products.

This transformation isn’t about replacing human judgement with algorithms. It’s about freeing up the strategic thinking that makes great buyers indispensable. When the predictable work becomes automated, the creative problem-solving and relationship building that drives real business value can finally take center stage.

The use of AI technology in retail buying is the key that unlocks a more responsive, strategic and ultimately more successful retail ecosystem.

To learn more about how to transform your retail buying and the strategies that are working, visit us here.



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleStop The Scraping Wars: Instead Of Fighting AI Search, Publishers Need To Take A Seat At The Table
Next Article Heatwaves drive spikes in demand for air conditioning across Europe
Advanced AI Editor
  • Website

Related Posts

Walmart Realm adds new digital storefronts to woo Gen Z, Gen Alpha

August 21, 2025

Abercrombie Kids adds Nordstrom, Dick’s Sporting Goods as wholesale partners

August 21, 2025

Can Target’s new CEO hit the bullseye?

August 21, 2025

Comments are closed.

Latest Posts

Mütter Museum in Philadelphia Announces New Policy for Human Remains

Inigo Philbrick, Art Dealer Convicted of Fraud, Appears in BBC Film

Links for August 22, 2025

White House Targets Specific Artworks at Smithsonian Museums

Latest Posts

Reinforcement Learning Scaling Trends: Insights from Andrej Karpathy on AI Business Opportunities in 2025 | AI News Detail

August 24, 2025

Google’s Newest AI Model Acts Like a Satellite to Track Climate Change

August 24, 2025

‘Could fundamentally change how we power our world’

August 24, 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!

Recent Posts

  • Reinforcement Learning Scaling Trends: Insights from Andrej Karpathy on AI Business Opportunities in 2025 | AI News Detail
  • Google’s Newest AI Model Acts Like a Satellite to Track Climate Change
  • ‘Could fundamentally change how we power our world’
  • Can AI tools detect machine-generated content? – Daily Trust
  • Tesla offers new feature to save battery and reduce phantom drain

Recent Comments

  1. KennethZet on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  2. Jeffreyflorp on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  3. สมัครหวยออนไลน์ lotto on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  4. Charliecep on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  5. 1:1 replica bags on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10

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!

LinkedIn Instagram YouTube Threads X (Twitter)
  • 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.