Strategies for Retail Modernization

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Summary

Strategies for retail modernization involve adapting retail practices to meet the demands of a rapidly changing marketplace using innovative tools, technology, and customer-centric approaches. These strategies aim to create more efficient, personalized, and engaging shopping experiences both in-store and online.

  • Adopt AI-driven solutions: Utilize artificial intelligence for predictive insights, supply chain optimization, and personalized customer engagement to reduce waste and boost efficiency.
  • Prioritize customer experience: Implement technologies like augmented reality, virtual reality, and interactive displays to create immersive and personalized shopping experiences.
  • Embrace sustainability and transparency: Incorporate eco-friendly practices and visible supply chain processes to appeal to environmentally conscious consumers and build trust.
Summarized by AI based on LinkedIn member posts
  • View profile for Jim Fielding

    Trusted Advisor and Coach for Teams and Individuals. Drive growth and culture with Authenticity and Radical Kindness | Bestselling Author | Championing LGBTQ+ Community | Former Exec at Disney, Dreamworks, Fox

    17,452 followers

    I was bitten hard by the Retail Bug a long time ago. In 2025, I have developed some kind of infection ? I've led retail at Disney and Claire's, consulted globally, and taught countless retail leaders. I've never seen this big of a shift or more challenging markeplace. How do Leaders keep up today?? Top 10 Trends + Reality Check: 1/ AI Isn't Just Hype—It's the New Profit Engine ↳ The winners are using AI for prediction, not just automation ↳ Brands with AI-driven supply chains are seeing 30-40% less waste and higher margins 2/ Sustainability = Survival ↳ 78% of Gen Z won't buy from brands without clear environmental metrics ↳ The most successful brands are making sustainability profitable, not just possible 3/ Social Commerce is the New Retail HQ ↳ TikTok and Instagram drive 45% of discovery for new brands ↳ The best content doesn't feel like selling - it feels like sharing 4/ Community-First Licensing Wins ↳ The era of "slap a logo on it" is dead ↳ Failed licensing deals down 40% when starting with community input 5/ Physical Retail = Content Studio 2.0 ↳ Stores that double as content studios see 3x social engagement ↳ Every store associate is now a content creator 6/ Supply Chain Transparency is the New Currency ↳ 65% of consumers check product origins before buying ↳ The most valuable supply chains are the most visible ones 7/ Cross-Border is the New Local ↳ 82% of growth brands now sell internationally ↳ Cultural relevance beats geographical presence every time 8/ Real Personalization Finally Delivers ↳ AI-driven personalization driving 40% higher customer lifetime value ↳ The best personalization feels invisible 9/ Community Crushes Campaigns ↳ Brands with active communities spend 60% less on acquisition ↳ Your best marketing team? Your customers 10/ Speed Wins (But Purpose Scales) ↳ Trend-to-shelf time cut from 6 months to 6 weeks ↳ The sweet spot: Fast execution + Clear purpose Real-World Success: Take Lush Cosmetics - they've doubled down on their packaging-free stores and saw a 35% increase in store visits. Look at Sephora's AI skin analysis tool that boosted customer satisfaction by 42% while reducing returns. The Bottom Line: The retail winners of tomorrow aren't just selling products—they're building movements with passionate communities, intelligent data, and authentic purpose. Your Turn: Which trend are you implementing in your business right now? What unexpected results have you seen? Share your experience in the comments.👇 ➕ Follow Jim Fielding for more insights on retail innovation and authentic leadership ♻️ Repost to your community

  • View profile for Manolo Reyes

    Global Executive | Retail & Agri-Food Innovation | Market Expansion | Supply Chain & Private Label | P&L Growth ($8B+) | Board Advisor & Strategic Consultant

    19,225 followers

    Your display isn’t impressive. It’s expensive. ⸻ For years, grocery retailers built massive displays of fresh fruit, frozen goods, and ready-to-eat items to scream one thing: “Look how big we are.” And yes—it worked. Big displays can boost sales by 20–30%, especially in high-traffic hours. But here’s what they don’t put in the marketing deck: Shrink on perishables can hit 15–25%, especially when those beautiful towers of berries and salads don’t move fast enough. That’s not a display. That’s a slow-motion loss. ⸻ Now, here’s the plot twist: Those same displays aren’t just for shoppers anymore. They’re pulling double duty—feeding your in-store impulse traffic and your online order pickers. So we’ve got two channels, one inventory pool… and a bunch of strawberries aging under fluorescent lights. ⸻ Let’s stop worshipping volume and start respecting freshness. What if retail design prioritized rotation over ego? Precision over scale? Experience over excess?    •   Smaller, curated displays.    •   Built-in zones for efficient picking.    •   Digital tags, real-time stock, smarter replenishment.    •   Inventory designed to sell—not to sit. Because a product that looks good on display but dies in the cold room never really sold. It just burned margin. ⸻ Instead of asking: “How can we make this look abundant?” Ask: “How can we make this move—faster, fresher, smarter?” ⸻ If we truly care about food, we can’t keep letting it rot in plain sight. If we truly care about margin, we can’t keep designing like it’s 1999. And if we truly care about the customer… we owe them more than a pretty stack of wilting greens. ⸻ Retail needs fewer monuments. And more momentum. #FreshRetail #RetailRevolution #ShrinkHappens #PerishableStrategy #OmnichannelReality #RetailDesign #InventoryIntelligence #VisualMerchandising #AgroRetail #GroceryFuture #SupplyChainFresh

  • View profile for Jamie Elden

    Chief Revenue Officer, Top 100 Global CRO AI SaaS Software Marketing.

    3,521 followers

    In today's competitive high street retail landscape, staying relevant to new generations and shopping trends is key. Partnering with brands and retailers daily, I witness the exciting changes taking place to drive increased share, customer retention, and acquisition through effective cross-channel personalization strategies. 1. Harnessing the Power of AI for Predictive Insights. By leveraging AI to analyze customer behavior, businesses can identify trends and preferences, enabling personalized messaging and tailored offers. This data-driven approach fosters loyalty among existing customers and attracts new ones. 2. Adopting Personalized Product Discovery (PDP). Implementing PDP customizes the shopping experience based on individual preferences. Dynamic search features suggest products aligned with past interactions online, while in-store digital kiosks enhance personalized recommendations, merging online and offline experiences seamlessly. 3. Creating a Unified Customer View. Integrating data from various channels provides a comprehensive understanding of the customer journey. This unified view enables consistent communication, real-time personalization, and effective tracking of customer engagement. 4. Cultivating Customer Loyalty through Personalized Rewards. Tailoring loyalty programs to individual spending habits and preferences using AI and customer data enhances customer loyalty. Exclusive events, early collection access, and personalized discounts resonate more with customers, fostering long-term loyalty. 5. Elevating Creativity Across All Channels. Creative excellence enhances personalized strategies. Compelling visuals, authentic storytelling, and innovative campaigns across email marketing, social media, and in-store promotions captivate customers and drive engagement. Creative design elements play a crucial role in building loyalty. By embracing these strategies, high street retailers can navigate personalization successfully, creating engaging customer experiences that nurture loyalty and attract new clientele. For further insights, feel free to reach out directly!

  • View profile for Sean G.

     Health Research Operations Engineer | 🇺🇸 USMC Veteran | Ed.D. Candidate, Org Leadership (UMass Global) | Human-Centered AI • Digital Health • Research Ops

    5,935 followers

    Revolutionizing Retail: Apple's Automated Future at Fifth Avenue In an era where innovation knows no bounds, Apple is once again at the forefront of technological advancement, reimagining the retail experience. The iconic Apple Fifth Avenue store in New York City is set to undergo a revolutionary transformation that will not only enhance efficiency and reduce overhead costs but also set a new standard for retail stores globally. Leveraging cutting-edge artificial intelligence, machine learning, and virtual reality, Apple aims to create a fully automated, futuristic retail environment that promises to redefine customer experiences. A Glimpse into the Future: Automation and Efficiency The cornerstone of Apple's new retail strategy is automation. By integrating advanced AI and machine learning algorithms, the Fifth Avenue store will operate with minimal human intervention. From inventory management to customer service, every aspect of the store will be optimized for efficiency. Automated systems will monitor stock levels in real-time, ensuring that products are always available without the need for manual checks. This not only reduces the need for on-site staff but also minimizes the risk of human error, leading to a more streamlined operation. Virtual Reality: Enhancing the Customer Experience Virtual reality (VR) will play a pivotal role in Apple's redesigned store. Customers will be able to experience products in immersive, virtual environments before making a purchase. For instance, VR headsets will allow shoppers to visualize how a new iPhone would look and feel in their hands or see how a MacBook fits into their workspace. This interactive experience will provide customers with a deeper understanding of the products, fostering informed purchasing decisions. Moreover, virtual reality will extend to customer support. Virtual assistants, powered by AI, will guide customers through product features and troubleshooting steps in a highly engaging and intuitive manner. This not only enhances the shopping experience but also reduces the burden on human staff, allowing them to focus on more complex tasks. Conclusion: A New Era of Retail Apple's vision for a fully automated store at Fifth Avenue marks the dawn of a new era in retail. Through the seamless integration of artificial intelligence, machine learning, and virtual reality, Apple is set to deliver an unparalleled shopping experience that is both efficient and personalized. As this revolutionary design is rolled out across the globe, it will undoubtedly set a new standard for the industry, proving once again that Apple is a true pioneer in innovation. With this bold move, Apple is not just redesigning a store; it is reshaping the future of retail. Welcome to the age of automation, where technology meets customer-centric design, and where the shopping experience is as innovative as the products themselves. jobs.apple.com

  • View profile for Justin M. Swagler, MBA

    Worldwide Head of Physical Retail @ AWS | Cloud, Product Management, Innovation Strategy

    3,358 followers

    🎯 Excited to share my latest AWS for Retail and Consumer Goods blog post. "Transforming Stores Through Computer Vision: A Business Leader's Guide" With physical stores still accounting for 80% of sales, the pressure to optimize in-store operations has never been more intense. I'm thrilled to share insights on how Computer Vision technology is revolutionizing the consumer industry landscape, delivering impressive results: • 15-20% reduction in checkout wait times • Up to 30% improvement in staff utilization • Enhanced shopper experience with minimal capital investment In this guide, we explore three transformative capabilities: ✨ Shopper Journey Analytics ✨ Queue Management Intelligence ✨ Workforce Optimization As the Worldwide Head of Physical Retail at AWS, I've seen firsthand how customers are leveraging their existing camera infrastructure to drive measurable business value. This comprehensive guide walks you through strategic implementation considerations and practical deployment options on #AWS. Ready to transform your store operations? Check out the full article here: https://lnkd.in/giVwUDeX Special thanks to my co-author Richard Elberger for collaborating on this piece! #AWS #Retail #ComputerVision #Innovation #PhysicalRetail #DigitalTransformation #RetailTechnology #Leadership What are your thoughts on the future of physical stores? Let's discuss in the comments below! 👇

  • View profile for Nicholas Nouri

    Founder | APAC Entrepreneur of the year | Author | AI Global talent awardee | Data Science Wizard

    131,020 followers

    The future of retail is more immersive and interactive than ever! Modern retailers are stepping up, integrating advanced materials like transparent cement and dynamic LED film screens into their store designs. This isn’t just about aesthetics - these innovations are about transforming how customers interact with brands and products. 𝐖𝐡𝐚𝐭'𝐬 𝐂𝐡𝐚𝐧𝐠𝐢𝐧𝐠 𝐢𝐧 𝐑𝐞𝐭𝐚𝐢𝐥 𝐃𝐞𝐬𝐢𝐠𝐧? >> Transparent Cement: This material allows for the construction of luminous spaces that blend natural and artificial light, creating an inviting and open atmosphere without sacrificing privacy. >> Dynamic LED Film Screens: These screens offer vibrant, changeable displays that can convert any glass surface into a digital billboard, providing real-time, customizable marketing directly on store windows or interior partitions. 𝐁𝐞𝐲𝐨𝐧𝐝 𝐭𝐡𝐞 𝐩𝐡𝐲𝐬𝐢𝐜𝐚𝐥 𝐦𝐚𝐭𝐞𝐫𝐢𝐚𝐥𝐬, 𝐫𝐞𝐭𝐚𝐢𝐥𝐞𝐫𝐬 𝐚𝐫𝐞 𝐚𝐝𝐨𝐩𝐭𝐢𝐧𝐠 𝐬𝐦𝐚𝐫𝐭 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐞𝐥𝐞𝐯𝐚𝐭𝐞 𝐭𝐡𝐞 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: >> Interactive Touchscreens: Positioned throughout stores, these touchscreens offer customers a personalized shopping journey, allowing them to look up product information, check availability, or even visualize products in different colors or styles. >> Augmented Reality (AR): AR integrates digital information with the real world in real-time, enabling shoppers to see how a piece of furniture might look in their home or how a dress might fit without entering a fitting room. These technological advancements do more than just catch the eye - they create a seamless, engaging, and highly personalized shopping experience. Retailers that embrace these innovations are setting new standards in customer engagement, turning routine shopping trips into memorable, interactive events. 🤔 How do you see the integration of such technologies reshaping the retail industry? What other innovations could further transform the shopping experience? #innovation #technology #future #management #startups

  • View profile for Niki Hall

    Marketing Executive/ Fractional CMO & Advisor / Building Trusted AI Powered Brands that Scale / Category Creation and Leadership / GEO / AEO / AI/ Advisor / Mentor / Team Builder / CX / CCaaS / eCommerce

    6,127 followers

    The National Retail Federation NRF Foundation event is always an inspiring intersection of retail and technology, where ideas spark, and the future of customer experiences is reimagined. This year, the energy was palpable as the conversations shifted from theoretical buzzwords to tangible applications of AI in retail. From L'Oréal and Lowe's Companies, Inc. Inc. redefining online-to-store journeys to Walmart leveraging AI for inventory forecasting, it's evident that artificial intelligence is reshaping the retail landscape. One particularly fascinating discussion was about integrating CX and culture, like Netflix’s partnership with Google Lens, which elevated engagement with Emily in Paris. The highlight of my trip? The Retail CEO Dinner hosted by Stacy Berns and Berns Communications Group at the iconic Le Bernardin. The evening featured an engaging discussion led by Joanna Coles, sparking thought-provoking ideas about what technology is on the horizon for brands in 2025. Here are my top four takeaways from NYC: 1. AI & Automation: AI is now driving personalization at scale, enabling real-time automation that deepen customer connections. Retailers are beginning to see its potential beyond just customer acquisition—AI is powering loyalty, expansion, and lifetime customer value. 2. CX in the Contact Center: AI is transforming the contact center into a hub for multi-channel, personalized experiences. It’s improving problem resolution speed, expanding self-service capabilities, and ensuring seamless customer journeys. 3. AI with a Human Touch: The focus isn't on replacing humans but augmenting them. AI empowers customer service teams with the insights and tools to respond thoughtfully and effectively to complex queries. This partnership of AI and human agents is the future of service excellence. 4. Context Engineering: A robust data strategy underpins AI success. Brands are leveraging structured and unstructured data to create contextual, loyalty-building interactions. The key lies in integrating organizational context into AI systems like IVAs (intelligent virtual assistants) to deliver richer, more meaningful customer experiences. As we move into 2025, tech continues creating opportunities for innovation that enhance customer loyalty, streamline operations, and build competitive advantages to drive GROWTH. Read more in my blog: https://lnkd.in/gqXPZT9i #NRF2025 #AI #RetailInnovation #CX #Five9 Let’s keep the conversation going—what trends in AI and CX are you most excited about this year?

  • View profile for Emily Culp

    CEO | CMO | Board Member | Advisor to CEOs at High Growth Companies | Estee Lauder | Unilever | Keds | Rebecca Minkoff | CoverFX

    5,744 followers

    AI's Impact on Retail: 6 Key Themes I'm grateful for Angela Clark, Fiona Tan, Rebecca Wooters, and Alex Friedman's collaboration on our AI panel at Women in Retail Leadership Circle. A few people asked for the highlights, so here are the key themes we covered: 1. AI is a technology tool but can’t be fully leveraged without a definitive business strategy & clear objectives in mind. Essentially, what is your business trying to achieve? Then, what data do you need, and how can AI help you efficiently solve the challenge? 2. Theory is critical in the 1st phase of innovation, but operators quickly move to the 2nd phase = execution. In order to do this well, we all agree you will change processes, which requires spending time with teams, establishing clear KPIs & a feedback loop. 3. All AI initiatives should have specific KPIs (e.g., increase ROAS, increase CSAT, decrease wait times etc.). 4. The first wave of AI deployment in many retail companies involved similar applications & focused on the marketing function -- via connecting further with the consumer & driving efficiency: - Improve customer service via recommendations, alternative services & overall guidance. - Generate creative assets – taking the 1st pass at SEO copy, SEM ad copy, or product description copy. - Create internal team efficiency – recap meetings, free up our talent to use their skills on more impactful work vs. repetitive tasks. - Monitor competitive trends – scraping pricing, new SKU data + flagging search volume insights, etc., to leverage cross-functionally to make better decisions. - Optimize & automate allocation of your marketing spend across channels. - Improve product discovery via delivering the optimal product assortment, at the right price, and in a personalized way (e.g., email, landing page to virtual try-on). 5. The 2nd wave of AI delved into other functional areas of the retail business from operations, sales etc.: - Solve distribution choices – analyze which new doors/geographies you want to expand into. - Inform inventory allocation based on past weather models. - Create synthetic personalities or target consumers (“Sarah”) & use them as a virtual focus group regarding product innovation, shopping behavior, marketing messaging, etc. - Increase speed to market with code assistants for developers. - Summarize customer feedback from emails, text & generate actionable insights for cross-functional teams. - Combat returns - synthesize data to figure out which SKUs are being returned, correlate this to the reason & adjust the product copy accordingly. 6. Some of the concerns raised around AI included: - Ensuring your skills evolve as quickly as AI given the rapidly changing landscape. - Bias & misinformation. - Keeping up with IP laws & regulations, data privacy. - Operating model changes & disruptions. - Employee training. I would love to hear about other ways companies are leveraging AI to get closer to their consumer & drive true value creation. #AI #Innovate

  • View profile for Caitlin Allen, FWS

    SVP of Market @ Simbe | 2025 Top Woman in Grocery | RTIH Top 100 Retail Tech Influencer

    4,137 followers

    The 3 Foundations of Retail Automation 🎶 1. DATA QUALITY: FROM NOISE TO STRATEGY Most automation platforms weren’t built for decision-making, and that’s a problem. Low-quality data undermines inventory accuracy, inflates #labor costs, and erodes shopper trust. Robust #data standards—turning messy, fragmented signals into clean, actionable insight—is the difference between systems that inform strategy and those that add noise. The best systems don’t just capture data. They build intelligence into your operating model. 🤖 2. SCALABILITY: STOP PILOTING, START BUILDING Automation must evolve beyond a single use case. One national retailer began with shelf availability tracking. They quickly expanded to auto-replenishment, merchandising compliance, and enhanced vendor collaboration—scaling from a 3-5X return to a 15-20X long-term ROI. True scalability isn’t just tech. It’s architecture + alignment. You need systems built for interoperability, and teams organized for continuous rollout. As recent Coresight data showed, scale is the remaining competitive advantage with retail tech for stores. 🍅 3. STORE COVERAGE: SOLVING RETAIL'S FINAL FRONTIER The shelf is the most strategic (and least visible) part of the retail enterprise. While supply chain and e-commerce have become data-rich, the store interior remains a data desert, costing billions annually in missed sales, inefficient labor, and out-of-sync operations. With persistent, automated visibility—think real-time shelf digitization—retailers are transforming the store floor from a liability into advantage. #retail #retailautomation #robotics #practicalai

  • View profile for Stephanie Millican

    Leading Merchandise Transformation | Product Development | Growth Strategist | Innovative Trend Analysis

    2,485 followers

    Retailers are sitting on a goldmine of data— but are they using it right? Retailers have more customer data than ever now. The question isn’t how to get insights— it’s how to apply them strategically. Sephora and Coach are proving that when retailers merge data with design, they don’t just tweak store layouts— they transform the customer experience. 🔹 Sephora’s insight? Customers hated getting their makeup done in the front window. Not exactly shocking in hindsight, but it led to a complete redesign of Beauty Studios— resulting in better customer engagement and increased sales. 🔹 Coach applies a ‘70-20-10’ model to store innovation, ensuring bold ideas (like branded cafés and immersive activations) ladder up to business strategy. The takeaway? Innovation works best when it’s structured, not random. 💡 The real opportunity for retailers isn’t in gathering more data— it’s in operationalizing it. Store design isn’t just about aesthetics— it’s a business lever that drives traffic, conversion, and loyalty. Retailers that act on insights instead of just collecting them will be the ones that win. How is your company bridging the gap between data and action? 🔗 Great piece here from Alicia Esposito: https://lnkd.in/geJv4NXa #RetailDesign #CX #DataDrivenDesign #RetailInnovation #TechInRetail #ConsumerInsights * Images from Handout and Coach

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