RBM Software

We spent a few days at Shoptalk Spring 2026, engaging in conversations with retail and commerce leaders. The conversations have moved from wondering if AI will have an impact to how it’s being applied across real use cases. You can find implementations across automation, decision-making, and connected customer experiences. One of the core learnings from Shoptalk was the importance of data cleansing. Retail AI is not a software problem. It’s a data problem. Fragmented product catalogs, omnichannel customer records, supplier data, and inventory silos limit personalization, forecasting, and search. We don’t just build AI chatbots. We focus on building the master data foundation cleaning, mapping, structuring, and governance that turns fragmented retail data into a trusted Golden Record. We also saw a growing emphasis on unified commerce. Bringing together physical and digital touchpoints, while maintaining speed, relevance, and consistency across channels is becoming a priority across retail. At RBMSoft, we’re working closely with enterprises to solve exactly these challenges building scalable commerce systems, enabling AI-driven workflows, and helping teams move from experimentation to measurable outcomes. Retail is evolving quickly. What matters now is how well technology can keep up with that change. #ShoptalkSpring2026 #Retail #eCommerce #AIinRetail #UnifiedCommerce #RetailInnovation #RBMSoft

Most platform switches fail before the project even starts. Not because of bad execution. Because of a wrong diagnosis. There's a question every retail leader should ask before committing to a platform change: Are we moving — or are we transforming? Migration gets you a new address. Same walls, same ceiling, same constraints. You'll spend months on the project and wonder why the same problems followed you over. Replatforming is a different decision entirely. It's rebuilding the foundation — so your team can move faster, your customers get a better experience, and your technology actually supports where your business is going. The difference matters more than most teams realize. Especially when 76% of B2B sellers are planning a switch right now — and most haven't asked the right question yet. Before you pick a platform, get clear on what you're actually solving for. 👇 Swipe to find out which one you need — and what getting it wrong actually costs. Read the full guide → https://lnkd.in/g_fESviS

The best Shoptalk conversations don’t always happen on stage. We brought together a small group of retail and e-commerce leaders for a private dinner to kick off the week. The conversations quickly moved to what everyone is trying to figure out right now AI in real use cases, scaling systems, and what parts of the stack actually need rethinking. A lot of honest takes. What’s working, what’s not, and where teams are still figuring things out. It made the evening worth it. #Shoptalk2026 #Retail #eCommerce

The next wave of retail traffic won't come from a human typing into a search bar. It'll come from an AI agent — shopping on someone's behalf. Searching catalogs. Comparing prices across retailers. Completing a purchase. All without a single page visit. This is already happening. Mastercard and Visa both enabled live agentic transactions the same week in October 2025. Real cards. Real purchases. No checkout page. Adobe tracked 4,700% growth in AI-driven retail traffic in 2025 alone. The shift isn't coming. It's here. And the retailers who show up in AI-driven results won't be the ones with the best-looking website. They'll be the ones with structured product data, open APIs, and systems that machines can actually read and transact with. AI-driven shoppers spend 32% more time on site, view 10% more pages, and bounce 27% less than traditional visitors. They arrive with a goal. The question is whether your store is ready to meet them. 👇 Swipe to see what AI agents look for — and what happens when your store doesn't make the cut. Read the full breakdown → https://lnkd.in/gkeipfEW

The best Shoptalk conversations happen before Shoptalk even starts The core debate of the night: Build vs. Buy Last night we brought together some of the best retail and e-commerce leaders from brands like ORIGIN®, Blindster.com, HARMAN International, asmodee and more for a private dinner to kick off Shoptalk Spring in Mandalay Bay. In the last 3 months, with the fast pace of development of technology, a lot of the dinner conversation yesterday revolved around what parts of the e-commerce stack are better to build versus buy. Personalization stacks, AI search were some examples discussed. We also learnt how some of the biggest brands we know today, are operating like "startups" with single digit development teams where their biggest bottleneck is no longer engineering but everything that happens after, like QA. Keeping the business talk aside, the most memorable moment for me was when we asked the table how they used AI in their personal lives and Brandt Milczewski from Meyer Brands shared how he used AI to write a personalized book for his father alongside a vintage guitar he'd gifted him. It was a small use-case, but it reframed the whole conversation where AI doesn't have to be the apocalypse. When used thoughtfully, it can be genuinely moving. The group is all set for Shoptalk, and come find the Spur Team at Booth SU11 starting today!

Prescription ecommerce is not a standard commerce problem. Every order involves sensitive data, veterinary verification, and zero margin for error. When the platform slows down or breaks, it's not just a checkout issue — it directly impacts pet owners who depend on timely medication. A major online pet pharmacy was running on an Oracle ATG platform that had become unstable. Bugs, performance bottlenecks, and unreliable integrations were slowing prescription fulfillment and making it difficult for the team to implement improvements safely. RBMSoft didn't replace the platform. Instead, the team stabilized and evolved what was already there — resolving the friction that was slowing operations, strengthening API integrations, and making prescription workflows faster and more reliable for both customers and internal teams. The insight here matters beyond this one project. Digital commerce growth isn't always about building something new. Sometimes the biggest wins come from fixing what's quietly breaking behind the scenes. When internal systems work better, customers feel the difference — faster orders, fewer errors, a more reliable experience. That's what commerce modernization looks like in practice. 👇 Swipe to see the full story — the challenge, the approach, and the outcome. Read the full case study → rbmsoft.com/petmeds/

Less than 30% of digital transformations meet their objectives because the back-end foundation is not built to support what the front-end promises. (Source: McKinsey and Company) Most transformations look successful at launch •⁠ ⁠New platforms go live •⁠ ⁠Customer experience improves •⁠ ⁠Early momentum builds Then the slowdown begins The real gaps start to show •⁠ ⁠Disconnected data slows decisions •⁠ ⁠Inventory visibility remains limited •⁠ ⁠Pricing stays siloed •⁠ ⁠Manual workarounds increase What looked like progress becomes operational drag •⁠ ⁠Teams shift from building to fixing •⁠ ⁠Effort increases but output slows •⁠ ⁠ROI starts to weaken Meanwhile competitors keep moving The issue is not the front end It is the foundation underneath What works instead •⁠ ⁠Strong integration across systems •⁠ ⁠Clean and unified data •⁠ ⁠Scalable architecture from the start Phase One launches the experience Phase Two decides if it sustains RBM Software helps retailers build the foundation that keeps transformation delivering beyond launch.

RBMSoft is heading to Shoptalk Spring 2026. Our team will be in Las Vegas from March 24–26. If you’re attending, let’s connect. We’re looking forward to conversations around: ➡️ AI-driven retail innovation ➡️ Agentic AI in commerce ➡️ Unified commerce technologies If these areas interest you, we’d love to exchange ideas. Drop us a message and let’s find time to meet. #Shoptalk #ShoptalkSpring2026 #RetailInnovation #eCommerce #AgenticAI #DigitalTransformation

Retail AI did not begin in core retail operations. It first appeared in the customer experience layer, improving how retailers engage shoppers. •⁠ ⁠Product recommendations •⁠ ⁠Marketing targeting and personalization •⁠ ⁠Customer segmentation •⁠ ⁠Chatbots and service assistants These applications improved customer experience. But they had a limited impact on core retail economics. Today, the focus is shifting toward operational decisions. Retail leaders are applying AI to areas that directly affect performance: •⁠ ⁠Demand sensing and forecasting •⁠ ⁠Inventory flow and replenishment •⁠ ⁠Workforce planning and productivity •⁠ ⁠Supply chain coordination According to McKinsey, AI driven demand forecasting can improve forecast accuracy by 20 to 50 percent. AI led inventory optimization can reduce inventory levels by 20 to 30 percent. The NVIDIA Retail AI Survey also shows 57 percent of executives say AI improves decision-making across operations. This is the real transition in retail AI. AI is moving from customer engagement tools to becoming a decision system for retail operations. At RBM, we focus on helping retailers integrate AI into the systems where operational decisions happen daily so improvements in forecasting, inventory, and supply chain execution translate into measurable business results.