Benjamin Taylor's Linkedin Analytics

Two years ago, this piece dropped asking the question: “Is ChatGPT about to drastically change how retailers operate?” At the time, only 30% of professionals had started using it at work. Most people were still figuring out what a prompt was. And retailers were just starting to test the waters. Fast forward to today and how things have changed. Everything that article hinted at? It happened. Retailers are now using AI for: – Lightning-fast, high-converting product descriptions – Always-on virtual customer service – Email campaigns that actually feel personal – Social content that gets clicks (and sales) – Smart product recommendations that increase basket size – Seamless chatbot support – Real-time language translation across global markets What used to be a “maybe someday” tech demo is now core infrastructure for any retailer that wants to compete in 2025. And that question “What opportunities does this technology provide those in retail?” It’s not theoretical anymore. It’s the difference between brands that are scaling and those that are struggling to stay relevant. It’s crazy to look back and see how accurate this was like reading a snapshot of what would become standard practice just months later. If you’re in retail and not deeply embedded in AI by now, you’re not just late. You’re leaving money, efficiency, and customer loyalty on the table. Wild to think how much can change in 24 months. Wilder still to think how much more is coming. #Retail #AI #ChatGPT #Ecommerce #Transformation #Innovation #LookingBack

Not all AI is created equal. And if you’re lumping automation and AI agents into the same category, you’re probably missing the real opportunity. AI Automation is the old-school model. You give it input, it executes a single process, spits out a result, and that’s it. No memory. No feedback loop. No context. Just rinse and repeat. Now compare that to AI Agents. These systems are built to think. They retain memory, process complex inputs, make decisions, and adapt based on what they’ve learned. Take content generation: An automated system will follow a template and give you the same structure every time. An agent will understand the intent, learn your tone, recall previous inputs, and improve the result over time. Here’s the bottom line: Automation follows instructions. Agents solve problems. Need repetitive tasks done quickly and consistently? Go automation. Need intelligent, evolving, strategic output? You need agents. This isn’t about which is better it’s about choosing the right tool for the right job. And as AI matures, that distinction is everything. Are you building static workflows, or evolving systems that learn and adapt? Because that choice will define how far your AI can actually take you. #AI #AIAgents #Automation #ArtificialIntelligence #Innovation #GenerativeAI #LLM #AIArchitecture #FutureOfWork

Thinking about building your own AI chatbot but don’t know where to start? If you break it down into the core steps it's pretty easy and using an agency like CDI can get you there even faster. 1. Define Your Use Case Before you touch any tech, ask: What problem is this chatbot solving? Whether it’s customer service, lead generation, internal support, or FAQs—getting crystal clear on the goal will shape everything else. 2. Choose the Right Channel Where will your users engage with it? Website, WhatsApp, Facebook Messenger, mobile app, or voice? Pick the channel that aligns best with your audience’s behaviour. 3. Select Your Tech Stack Will you build from scratch or use a platform? Decide early based on your team’s capabilities, the complexity of the use case, and future scalability needs. 4. Build a Knowledge Base Your chatbot is only as smart as the info it has. Organize your content: FAQs, product info, policies, troubleshooting steps—whatever users might ask. Think of it as the brain behind your bot. 5. Design the Conversation It’s not just about answering questions it’s about guiding users. Map out flows, set tones, and handle edge cases. Use conversation design principles to keep it human like and helpful. 6. Integrate & Test Time to connect the chatbot with your tech stack—CRM, helpdesk, APIs, etc. Then test like crazy. Break it. Confuse it. See where it fails, and improve it. 7. Launch & Monitor Push it live but your job doesn’t end there. Use analytics to track usage, drop-off points, and satisfaction. Continuously optimize based on real user behaviour. ⸻ Building an AI chatbot isn’t just about tech it’s about solving a real problem with a tool that improves over time. If you’re investing in AI, do it with purpose. Need help with strategy, design, or implementation? Let’s talk. #AIChatbots #ConversationalAI #ChatbotDesign #CustomerExperience #Automation #LLM #AIImplementation #DigitalTransformation

What’s really happening with AI in UX in 2025? Let me break it down. AI has officially moved from “nice to have” to non-negotiable in the UX world. And the numbers back it up: – Chatbots and AI assistants are improving customer retention by 40% – AI-driven personalization is lifting e-commerce conversions by 35% – 70% of UX teams are now using AI to go from concept to prototype in hours, not days – By the end of 2025, 60% of user testing will be automated with real-time, actionable insights Why does this matter? Speed AI cuts design cycles in half, giving teams more time to iterate and innovate. Accuracy Predictive data removes the guesswork. Design decisions are now driven by what users actually need—not what we think they need. Scalability Designers can now manage 5x more projects without hitting burnout. More output, without compromising quality. But here’s the reality check: AI can’t replace empathy. It can streamline workflows. It can enhance decision-making. But it can’t replicate human intuition or storytelling. The best UX outcomes happen when AI and human insight collaborate—not compete. 2025 isn’t about choosing between creativity and AI. It’s about knowing how to combine them to move faster, work smarter, and design better. Where are you in that journey? Already leveraging AI? Or just starting to explore it? Let’s open up the conversation. #AI #UXDesign #UserExperience #ProductDesign #AIinUX #Innovation #DesignThinking #FutureOfWork

If you still think AI is “the future,” you’re already behind. The smartest companies aren’t talking about it they’re using it. Here’s what the data actually says about how AI is reshaping business: ➡️ Half of all companies are already using AI to improve efficiency and gain a competitive edge. It’s not hype—it’s happening. ➡️ Productivity jumps 40% when AI takes on the repetitive stuff, letting teams focus on what actually moves the needle. ➡️ Customer service costs drop by up to 70% when chatbots do the heavy lifting—while speeding up response times 24/7. ➡️ 61% of execs say AI leads to better decisions—because real-time insights beat gut instinct every time. ➡️ Processing times get cut by 60% when AI handles approvals, documents, and data crunching. ➡️ And here’s the kicker: by 2025, 85% of customer interactions will be AI-driven. That’s not support teams being downsized—that’s support being redesigned. ➡️ Companies using AI see 25% more accurate forecasting, giving them an edge in planning and profitability. ➡️ Product development is 50% faster with AI assisting design, testing, and iteration. ➡️ And as all this scales? Demand for AI talent has exploded 200%. The job market is being rebuilt in real time. Bottom line: AI isn’t a tool, it’s a multiplier. The businesses adopting now are scaling faster, slashing costs, and dominating their markets. So here’s the question: Is your business using AI to win? Or are you still watching from the sidelines? #AI #BusinessGrowth #Automation #AIStats #FutureOfWork #Scalability #AIEfficiency

If you were in Edinburgh and you saw this master class you’ll know how good it was. If you weren’t, here’s your chance to treat yourself!

Will your next doctor be powered by AI? It sounds futuristic, but it’s already starting to happen. I’ve spent years helping businesses integrate AI into their operations. But when it comes to healthcare, the stakes are personal and the potential is huge. Imagine this: • An AI assistant that helps doctors spot rare diseases faster than ever • A system that explains medical terms in plain language and responds with empathy, not just data • 24/7 virtual support for patients who can’t sleep because they’re worried Powerful stuff. But it’s not that simple. Because with AI in healthcare, tough questions come first: • Can we trust machines with our health data? • What happens if AI makes a mistake who’s responsible? • How do we stay compliant with strict rules like HIPAA? These aren’t just technical questions. They’re ethical, human, and urgent. If we get it right, AI could ease pressure on clinicians, reduce misdiagnoses, and make care more accessible. But only if we lead with responsibility and design for trust. 3 questions every healthcare leader should ask before deploying AI: Is our data secure? (Not just compliant, would patients feel safe?) Can we explain how decisions are made? (Transparency builds trust.) Where do humans fit in? (AI should augment, not replace.) What’s your take? Where do you see the biggest risks, or opportunitiesfor AI in healthcare? Drop your thoughts in the comments. Let’s start a conversation. #AIinHealthcare #GenerativeAI #HealthTech #DigitalHealth #EthicalAI #ConversationDesign #PatientExperience #AIandTrust #FutureOfHealthcare

There has been a lot of noise online about Google Search being “over” but Alphabet’s Q1 2025 results tell a very different story. Here is what is actually happening: Google Search revenue is up 10 percent to $50.7 billion AI Overview now serves 1.5 billion users a month Circle-to-Search usage jumped 40 percent Google Cloud revenue grew 28 percent YouTube ad revenue climbed 10 percent Waymo is delivering 250,000 robotaxi rides a week, 5x growth year-over-year Overall revenue is up 12 percent. Earnings are up 49 percent. Alphabet also approved a $70 billion stock buyback. The real story is simple. AI is not replacing search. It is evolving it. And Alphabet is not falling behind. It is building the future across search, cloud, AI, video, and autonomous vehicles. Add it all up and Alphabet is still trading at a forward P/E of around 18x. For a company this dominant across so many growth markets, that is rare. The loudest headlines do not always tell the real story. Google is not dead. It is just getting started. #Alphabet #Google #Search #AI #Cloud #Waymo #Innovation #BusinessGrowth #Investing #DigitalTransformation

AI is the greatest business equalizer we’ve ever seen. Big companies used to win because they had money. Massive teams. Endless resources. They could outspend, out-staff, and outlast everyone else. But now one person with the right AI stack can compete with companies 50x their size. We’re seeing solo founders automate their operations, run full-blown marketing funnels, respond to customer inquiries 24/7, create content at scale, and make smart, data-driven decisions in real time. This isn’t hypothetical. This is happening right now. AI isn’t just a “tool” anymore it’s an advantage multiplier. The gap between “doing okay” and “dominating your niche” is narrowing fast. The people who win now are the ones who know how to leverage leverage. And AI is the most powerful leverage in the game. If you’re still trying to grow your business the old way, manual processes, massive overhead, slow output, you’re already falling behind. Because your competitors? They’re running lean. They’re running fast. And they’re letting AI do the heavy lifting. So the question is: What are you doing about it? #AI #BusinessGrowth #Solopreneurs #Scalability #AIForBusiness #Entrepreneurship #Leverage

Next Tuesday at 3pm CET, I’m co-hosting a no-fluff, 30-minute session that’ll show you exactly how we help enterprise teams get sharp fast in conversational AI. This isn’t a product demo. It’s a blueprint. I’ll be joined by Jurgen Gravestein one of the best in the game when it comes to Conversational AI enablement and we’re going to walk you through how our Team Training & Certification offering actually works, this time focused on our Workshop offering Here’s why you should care: → You’ve got a CAI, CX, or Product team → You’re investing in AI → But your people aren’t fully equipped to execute Sound familiar? We built this training to fix that gap. Not with lectures. Not with PDFs. But with interactive, practical workshops that get your team using real tools, solving real problems, and actually delivering value........fast. So if you’re a decision maker at an enterprise and you want your team to stop watching the AI wave and start riding it show up to this session. You’ll walk away knowing exactly what’s possible and how to get started. It’s 30 minutes. It’s free. It could save you six months of wasted time. See you there. #ConversationalAI #TeamTraining #AIEnablement #EnterpriseCX #AIWorkshops #CAI #Upskilling #ScalableTraining #AIExecution

The power of Conversational AI: Are you harnessing it for your business yet? 🤔 In today's fast-paced digital world, the expectation for businesses to provide instant, 24/7 customer service is higher than ever before. Conversational AI is not just a buzzword; it's a game-changer that can transform how businesses interact with their customers. By automating routine queries and providing personalised interactions, companies can significantly enhance customer satisfaction while reducing operational costs. However, the question remains: How effectively are we integrating these technologies into our organisational structures? It's not merely about implementing AI but about strategically aligning it with business goals to drive actual growth. The key lies in continuous training and auditing to ensure the systems evolve alongside customer needs and technological advancements. As we dive deeper into 2025, I urge all of us to reflect on our current practices. Are we leveraging conversational AI to its full potential? What more can we do to stay ahead in this competitive landscape? Share your thoughts and let's explore the future possibilities together!

Most people aren’t using AI because: – It feels complicated. – They don’t know what to use it for. – The pace of change is overwhelming. – Good tools cost money. – And they don’t know what they don’t know. But here’s the truth: You won’t understand AI’s value until you start using it. Just like the internet. Just like smartphones. Just like every other shift in technology that changed the game. Harvard Business Review says people hesitate because: – It feels rigid. – It’s a black box. – We don’t like losing control. – It’s not “human” enough. – We still crave connection. That’s all emotional resistance. It’s fear disguised as logic. Because right now, AI isn’t about replacing you. It’s about making you 10x more effective. Want to code but never learned? Use AI. Want to create videos but suck at design? Use AI. Want to analyze data but aren’t a data scientist? Use AI. AI isn’t the threat. The person who knows how to use AI better than you is. You don’t need to be an expert. But you do need to get in the game. Every day you wait is a day someone else gets better. The question is—are you going to let them outpace you? #AI #ArtificialIntelligence #FutureOfWork #Execution #Leverage #SkillStack

Conversational AI isn't just a technological trend; it's a transformative force reshaping the way businesses engage with customers. Are you ready to harness its full potential? In an age where customer service can make or break brand loyalty, conversational AI stands as a powerful ally. By integrating sophisticated AI systems, businesses are not only streamlining their operations but also significantly reducing overheads. This technology provides instant support and personalisation at scale, ensuring each customer feels valued and understood. But here's the real question: How is your business implementing conversational AI strategies to stay ahead? Perhaps it's time to audit your current processes, invest in training your team on best practices, and consult experts who can guide you through this digital transformation. Let's start a conversation on how you plan to innovate!

You mastered SEO for Google... But is it working for ChatGPT? I saw a post recently about SEO inside ChatGPT and it got me thinking AI chatbots rely on search results… but not in the way traditional SEO expects. In fact, most SEO metrics barely move the needle on AI Visibility. Here’s the shift that’s happening 👇 AI Chatbot Visibility = • Citations (links to your content) • Mentions (your brand is referenced, even without a link) So what drives these? 1️⃣ Citations → Content that’s deep, clear, and answers specific questions 2️⃣ Mentions → Brand popularity and how often people refer to you online 🏁 Bottom line: Search engines rank for humans. LLMs weigh sources for knowledge. ✅ Traditional SEO? Still helpful, but if you want to be part of an AI answer, you need: • Authority • Clarity • Distribution • Brand pull Are you adjusting your content for the world of LLMs? What’s working—or not—for your team? Let’s compare notes in the comments 👇 #AISEO #ContentStrategy #ChatGPT #LLMVisibility #DigitalMarketing #SearchEngineOptimization #ContentMarketing #ThoughtLeadership #AIChatbots

As of April 28, OpenAI has rolled out major new “shopping improvements” for ChatGPT, making it easier for users to find, compare, and buy products without leaving the app. Users can now see product images, comparisons, pricing, reviews, and direct links to various retailers—all inside ChatGPT. The new feature is live for Plus, Pro, and even free users. A few key points: • OpenAI says these product listings are not sponsored, and no commissions are earned from the links. • ChatGPT recommends products based on organic online conversations, not traditional SEO ranking signals. • Categories currently being tested include fashion, beauty, home goods, and electronics. While the experience is slower than Google (taking up to 40 seconds to generate results) and sometimes links to lesser-known retailers, the move is a clear escalation in the competition between AI-driven search and traditional engines like Google. With ChatGPT Search already handling over 1 billion searches a week, it is clear that users are open to shifting how they discover products and information online. AI is not just changing how we find answers. It is changing how we shop. #AI #ChatGPT #Ecommerce #RetailTech #Search #Innovation #OpenAI #DigitalTransformation