{"id":240754,"date":"2025-08-19T11:59:23","date_gmt":"2025-08-19T11:59:23","guid":{"rendered":"https:\/\/monday.com\/blog\/?p=240754"},"modified":"2025-08-19T11:59:23","modified_gmt":"2025-08-19T11:59:23","slug":"introducing-monday-coms-retail-ai-agent-report","status":"publish","type":"post","link":"https:\/\/monday.com\/blog\/product\/introducing-monday-coms-retail-ai-agent-report\/","title":{"rendered":"Introducing monday.com\u2019s Retail AI Agent report"},"content":{"rendered":"

New global research reveals how retailers are embracing AI agents \u2014 and why trust, cost, and capability remain key barriers to full-scale adoption.<\/em><\/p>\n

Nearly every retailer globally is racing to adopt AI and agents to elevate customer service, streamline operations, and stay competitive in a fast-changing environment. However, retailers still view human input as an essential part of AI adoption, and are looking for AI that collaborates, not controls.<\/p>\n

This striking contradiction, revealed in monday.com’s latest research that surveyed over 1,800 retail leaders across Australia and New Zealand (ANZ), the United States (US), the United Kingdom (UK), and Singapore, exposes the complex reality behind retail’s AI revolution. Despite excitement around the technology\u2019s potential, most retailers are proceeding cautiously \u2014 balancing optimism with realism and innovation with human oversight.<\/p>\n

Dive into key findings below.<\/p>\n

Retailers are moving beyond AI experiments to full-scale integration <\/strong><\/h2>\n

Across the globe, a staggering 96% of retail leaders are already implementing, piloting, or researching AI agents to streamline their business operations, from product recommendations to automated fulfilment. This holds true across individual regions:<\/p>\n

    \n
  • US \u2013 98% adoption<\/li>\n
  • ANZ \u2013 99% adoption<\/li>\n
  • Singapore \u2013 100% adoption<\/li>\n
  • UK \u2013 90% adoption<\/li>\n<\/ul>\n

    \"AI<\/p>\n

    The findings also show retailers have moved beyond AI ambition to action, and the technology is making a real impact across entire organizations. The top business areas where global retailers currently see the most value are:<\/p>\n

      \n
    • Customer service \u2014 55%<\/li>\n
    • Marketing and content creation \u2014 49%<\/li>\n
    • Sales assistance \u2014 48%<\/li>\n
    • Operational efficiency \u2014 46%<\/li>\n
    • Inventory management \u2014 44%<\/li>\n<\/ul>\n

      From real-time product recommendations and conversational commerce, to demand forecasting and automated fulfilment, AI is helping teams respond faster, personalize better, and work smarter.<\/p>\n

      What\u2019s emerging is a clear trend: retailers aren\u2019t just adopting AI,\u00a0 they\u2019re embedding it into the fabric of their operations to unlock scale, speed, and insight.<\/p>\n

      Trust issues and implementation challenges remain<\/strong><\/h2>\n

      Despite widespread adoption, many retailers remain hesitant to grant AI full autonomy. 48% say humans still make the final decisions based on AI input, while 61% express concerns about the consistency and quality of AI-generated output. And only 12% of global respondents believe AI will be able to manage the entire customer journey without human input.<\/p>\n

      \"AI<\/p>\n

      The top challenges to AI adoption globally reflect both technical and cultural hurdles:<\/p>\n

        \n
      • Privacy and data concerns \u2013 47%<\/li>\n
      • Integration complexity \u2013 45%<\/li>\n
      • Risk of alienating customers\u2013 42%<\/li>\n
      • High implementation costs \u2013 38%<\/li>\n
      • Employee pushback \u2013 35%<\/li>\n<\/ul>\n

        In Singapore, for instance, local teams are moving quickly on AI, but stress the need for better integration with legacy systems. In the UK, meanwhile, AI is embedded in strategy, but concerns remain around customer trust and team alignment.<\/p>\n

        These findings reinforce a key point: AI works best in partnership with people. Rather than aiming to replace human input, retailers are seeking tools that empower their teams and enhance decision-making.<\/p>\n

        Not all retailers have equal access to AI\u2019s potential<\/strong><\/h2>\n

        A major finding from the research is the widening gap between larger and smaller retailers.<\/p>\n

        Globally, 90% agree that AI can help local and independent businesses compete with major retail giants. But when we break this down by business size, the optimism falters, with only 67% of small retailers (less than 50 staff) believing AI can help them compete.<\/p>\n

        \"AI<\/p>\n

        Insights from ANZ suggest the gap is not due to a lack of ambition; smaller retailers are eager to adopt AI but are being priced out by complexity, cost, and a shortage of internal expertise. This pattern holds globally. In the US, large retailers have surged ahead, with 98% saying AI is already embedded in their daily operations, while smaller retailers struggle to match that pace without dedicated tech teams. Similarly, in the UK, smaller businesses are keen but cautious, citing concerns around customer trust and internal alignment.<\/p>\n

        Ultimately, across regions, there\u2019s a clear need for more accessible, scalable AI solutions that empower smaller players to compete, without over-reliance on high-cost specialists or custom integrations.<\/p>\n

        Retailers want AI that collaborates, not controls<\/strong><\/p>\n

        There\u2019s a strong belief in AI\u2019s long-term potential to transform retail operations. 63% of retailers agree that businesses that don\u2019t adopt AI agents in the next two years risk falling behind, while 58% believe most customer interactions will be handled by AI within five years.<\/p>\n

        \"Global<\/p>\n

        Retailers also see AI as a key driver of sustainability and operational improvements:<\/p>\n

          \n
        • 71% say AI will help achieve environmental goals<\/li>\n
        • 71% expect it to boost online service quality<\/li>\n
        • 70% believe it will reduce overproduction and waste<\/li>\n
        • 70% anticipate improved pricing responsiveness<\/li>\n<\/ul>\n

          AI is not replacing the retail workforce. It\u2019s redefining roles and augmenting capabilities. Whether supporting sustainability efforts or personalising shopper experiences at scale, retailers are clear: they want AI agents that empower human decision-making, not override it.<\/p>\n

          Final takeaway: AI\u2019s retail evolution is human-guided<\/strong><\/h2>\n

          The future of AI in retail is about enabling teams rather than replacing them.\u00a0 Retail leaders are aligned: AI is now essential to competitiveness, efficiency, and innovation. But its true power lies in collaboration, not control.<\/p>\n

          At monday.com, we believe tools should make AI adoption easy, transparent, and accessible, no matter your team size or technical background. Our multi-product platform helps retail teams across regions turn AI-powered insights into action, without complexity getting in the way.<\/p>\n

          Because when AI works with people \u2014 not in place of them \u2014 the whole team moves faster, smarter, and more confidently.<\/p>\n","protected":false},"excerpt":{"rendered":"

          New global research reveals how retailers are embracing AI agents \u2014 and why trust, cost, and capability remain key barriers to full-scale adoption. Nearly every retailer globally is racing to adopt AI and agents to elevate customer service, streamline operations, and stay competitive in a fast-changing environment. However, retailers still …<\/p>\n","protected":false},"author":5,"featured_media":241210,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"","monday_item_id":11238921586,"monday_board_id":0,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[13906],"tags":[],"class_list":["post-240754","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-product"],"acf":{"lobby_image":false,"post_thumbnail_title":"","hide_post_info":false,"hide_bottom_cta":false,"hide_from_blog":false,"landing_page_layout":false,"hide_time_to_read":false,"sidebar_color_banner":"","custom_tags":false,"disclaimer":"","cornerstone_hero_cta_override":{"label":"","url":""},"show_contact_sales_button":"0","cluster":"","display_dates":"default","featured_image_link":"","faqs":false,"activate_cta_banner":false,"banner_url":"","main_text_banner":"","sub_title_banner":"","sub_title_banner_second":"","banner_button_text":"","below_banner_line":"","use_customized_cta":false,"custom_schema_code":""},"yoast_head":"\nIntroducing monday.com\u2019s Retail AI Agent report | monday.com Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/monday.com\/blog\/product\/introducing-monday-coms-retail-ai-agent-report\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Introducing monday.com\u2019s Retail AI Agent report\" \/>\n<meta property=\"og:description\" content=\"New global research reveals how retailers are embracing AI agents \u2014 and why trust, cost, and capability remain key barriers to full-scale adoption. 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