AI in retail is flooding my feed. But AI ROI? Somehow not many want to discuss it. That’s what I appreciated about my colleagues Mariia Polianska and Anton Lohvynenko in their recent webinar: numbers and real cases. Here’s what stood out to me: 🔥 Electronic shelf labels: ROI in 18–30 months. 🔥 Warehouse automation: 6–36 months. 🔥 Cashierless checkout: 12–24 months. I’ll be honest: when I look at these timelines, I don’t see “innovation.” I see budget math. It reminds me of working on cars: you can bolt on a shiny aftermarket part that looks cheap, but if it doesn’t keep the engine running a year later, it was a bad investment. Retail tech works the same way. Off-the-shelf looks cheap. Until you try scaling, integrating with your ERP, or adding AI pricing logic. Suddenly the “savings” stall out. Custom systems? Higher upfront. But you own the code, the data, and the roadmap. That’s what makes ROI predictable. Put simply: the biggest cost isn’t buying the wrong tech. It’s buying the right tech the wrong way. It’s the kind of hard truth I wish more retail leaders talked about openly. If you care about ROI, the recording is worth your time: https://lnkd.in/d4SHZVA7
Webinar on AI ROI in retail with Mariia Polianska and Anton Lohvynenko
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Retail operations are overwhelmed by massive amounts of data, manual processes, and the need for faster, error-free decision-making. Deploying machine learning addresses these challenges, delivering faster processing, smarter inventory management, reduced errors, and actionable insights. It streamlines accounts, logistics, and auditing, freeing teams to focus on growth and customer experience. Curious how to maximize these benefits? Explore the best strategies for deploying ML in retail and transforming your operations in our blog: https://shorturl.at/NiRwe #MachineLearning #RetailAutomation #DataDriven #InventoryManagement #ProcessOptimization #RetailEfficiency #BusinessIntelligence #DigitalTransformation #OperationalExcellence #RetailTech
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The Future of Retail Is Predictive — Not Reactive. In 2025, the smartest retailers won’t wait for customers to make a move — they’ll predict it. AI is reshaping the retail game: ✅ Personalized recommendations that feel human ✅ Dynamic pricing that adapts in real-time ✅ Inventory that predicts demand before it spikes ✅ Marketing that targets the right person, at the right moment At WeboraAI, we help retail brands turn raw data into foresight — and foresight into profit. Because the future of retail isn’t about who sells more, it’s about who knows their customers best. Read our latest blog: “The Future of Retail Is Predictive: How AI Knows What Shoppers Want Next” #RetailInnovation #PredictiveAI #Ecommerce #AIinRetail #WeboraAI #SmartRetail #AITransformation #RetailTrends2025
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