Interactive Ecommerce Features

In 2018, BK launched what might be the most diabolically clever campaign in fast food history: They offered Whoppers for one penny, on one condition: To unlock the deal, customers had to download the Burger King app, enter a McDonald's location, then order while standing inside. The app used geolocation to verify you were actually in a McDonald's before unlocking the offer. The campaign turned a competitive weakness into promotional power. Having fewer locations than McDonald's suddenly became a strength. Think about what happened when a customer participated: Walking into McDonald's to order from Burger King felt mischievous, even rebellious. That emotional charge was the motivation to complete an otherwise mundane app download. Users filmed themselves "sneaking" into McDonald's, giving Burger King millions in free exposure across social platforms. The media couldn't resist covering the stunt. There's something so odd about ordering a Whopper while surrounded by Big Mac posters that people couldn't stop thinking about it...or talking about it. A single week of this campaign delivered more app installs than an entire year of traditional digital marketing. Burger King knew they couldn't outspend McDonald's. So they outthought them. The next time you look at a competitor with a market advantage, ask yourself if you've examined whether their strength could become your weapon. Want growth hacks like this that can catapult your business forward? Sign up to my weekly growth hacks newsletter for easy to implement hacks every Sunday: https://lnkd.in/ePmCxAEP

🚨PayPal and Google Cloud announced an agentic commerce solution. Here's what you need to know: The new solution lets merchants deploy conversational AI agents — powered by Google Cloud — with payments handled by PayPal through the new Agent Payments Protocol (AP2). The result: • Merchants can host their own branded AI shopping assistants • Agents can talk to each other securely via the Agent2Agent (A2A) protocol • Every transaction is backed by verifiable proof of user intent, not inference This is a major step toward trusted, agent-to-agent payments, where commerce becomes conversational, autonomous, and verifiable. Built on open standards (A2A + AP2 + MCP), this collaboration puts consumer trust and transparency at the core, a critical foundation for agent-driven payments to scale. If Mastercard and PayPal made trust the core of agentic payments this week (more info: https://lnkd.in/dNrn9PAr), this move with Google Cloud just connected the dots between AI agents, payments, and proof of intent. Source/more info: https://lnkd.in/dvDr5HCc Find this helpful? [ 𝗿𝗲𝗽𝗼𝘀𝘁 ] Anything to add about this subject? [𝗶𝗻𝘃𝗶𝘁𝗲𝗱 𝘁𝗼 𝗰𝗼𝗺𝗺𝗲𝗻𝘁] Nice story, Marcel. Next! [ 𝗹𝗶𝗸𝗲 ] 

Interactive demos are still relatively new and haven't been widely adopted yet. Theoretically, showing your product and allowing website visitors to interact with it should increase conversion rates and speed up the sales process, right?   So in this report, we analyzed more than 2M website sessions to understand whether this hypothesis is valid. In short, yes it is. In Navattic's report, Natalie Marcotullio found that interactive demos can increase website conversion rates by 16%. Our dataset shows a slightly different picture—significantly better, in fact. We found out that: -Interactive demos increase the chance of generating MQLs by 63%. -If the website visitor engages with the interactive demo before submitting the demo form, we see a net 1.5x better MQL:SQL -Companies with interactive demos on their websites close deals 23% faster than those without. The link is in the comments

Successful companies deploy AI to help their people create more value. Companies that fail deploy AI to avoid paying people to create value. Clients expect AI’s ROI to come from cost reductions, but bigger wins come from turning cost centers into revenue generators. A large airline client expected AI to reduce its customer service costs. We implemented AI to detect customer intent and deliver outcomes faster. Productivity improved, but instead of laying people off, we deployed a sales coach into select agents’ workflow. One model gives every customer a rating based on how likely they are to buy an upgrade and predicts the top upgrades to recommend. A second model generates a personalized pitch for the customer service agent to use. We ran a 3-sided experiment: 1️⃣ One group of customer service agents kept working on the AI intent-outcome augmented workflow. 2️⃣ A second group was given a generic script and discretion to pitch upgrades without the AI coach. 3️⃣ A third group was given the AI sales coach and discretion to decide when to accept its recommendations and which upgrade to pitch. After 3 months, the second group had an 8% upgrade pitch success rate, and the third group had a 31% success rate. In the first month, the second group pitched more upgrades than the third, but that switched in months 2 and 3. People do not immediately trust AI. They need to see it function reliably before they truly integrate it into their workflows and trust its output. Giving customer service agents discretion was critical for adoption. As the initiative scales to the entire customer service team, the airline expects to make significantly more money from upsells than it would have saved with layoffs. We reclaimed time with the AI intent-outcome agent and used the opportunity to create a new revenue stream for customer service. We found that when customers quickly go from “I have a serious problem,” to “Hello, thanks for calling support, how can I help?” to “Wow, that was an easy fix,” they’re more receptive to upsells. Businesses that win with AI are reorchestrating workflows and finding new ways to create value. Others don’t see these opportunities, so their only option is cost-cutting.

Most product demos suck. Here's why yours doesn’t have to. ⤵ 1/ ➠ Stop pitching, start solving ➝ Focus on the audience’s real pain ↳ Speak to problems, not product ↳ Frame features as outcomes ↳ Outcomes crush features every time 2/ ➠ Keep it short or lose them ➝ Demos should be under 5 minutes ↳ No more than 15 steps ↳ Kill fluff, keep the gold ↳ Time is trust 3/ ➠ Show, don’t tell ➝ Use real-life scenarios ↳ Animate the story, not the screen ↳ Smooth transitions matter ↳ Visual clarity wins attention 4/ ➠ Make it personal ➝ Tailor the narrative to them ↳ Avoid cookie-cutter walkthroughs ↳ Speak their language ↳ Custom = credibility 5/ ➠ Get them to touch it ➝ Build interaction into the flow ↳ Let them experience the value ↳ Simulate the real thing ↳ Passive demos = lost conversions 6/ ➠ Tell them what to do next ➝ End with a CTA, not silence ↳ Be clear, not clever ↳ Guide, don’t guess ↳ Confused minds do nothing If your demo feels like a lecture, it’s already dead. The product should feel like theirs before they buy it. ▶ What if your demo let them break the product? ▶ Could a mistake in the demo be more persuasive? ▶ Why not start your demo with their objection? ▶ What happens if you demo the wrong problem? We're currently optimizing the demo-experience of our RE:BALANCER here at TRUSTBYTES (Techstars '25) - It always comes down to the basics. Let's go! // Repost this ⇄ // Source: https://lnkd.in/dnGqwEQj // Follow me for daily posts on emerging tech and growth: https://lnkd.in/gqzS_9Tf //

The search bar is dead. And most e-commerce platforms don’t even know it yet. After working closely with AI systems and recommendation engines, I’ve learned one thing: “Personalized shopping” was never truly personal. It was pattern matching. It was collaborative filtering. It was reactive logic pretending to be intelligence. Now we’re entering a different era. → From personalized to personal → From search-based discovery to proactive intelligence → From browsing endlessly to AI agents working for you This is agentic commerce. Traditional e-commerce makes you do the heavy lifting: Search → Filter → Scroll → Compare → Hope Agentic commerce flips the entire model: Describe what you want → AI delivers with context One of the most interesting examples I’ve seen is Glance. They are not building another shopping app. They’re building a contextual, agentic AI commerce layer powered by multiple specialised agents working together. Instead of one algorithm guessing what you like, Glance deploys multiple AI agents working for you in parallel: → Weather Agent analysing real-time climate and fabric suitability → Trends Agent tracking global shifts and micro-trends → Occasions Agent anticipating upcoming events → Physical Agent understanding your skin tone, undertones, and body type → Lifestyle Agent decoding your aesthetic preferences All coordinated by an orchestrator that synthesises everything into a unified styling strategy. That’s not basic personalization. That’s contextual intelligence. And the most powerful shift? You see yourself in the generated looks. Not stock visuals. Not generic models. You. Commerce becomes a conversation instead of a search box. From personalized to personal. AI agents working for you. Learning with every interaction. Refining your style instead of just tracking clicks. This is the rise of agentic commerce. #Glance #AICommerce #AgenticAI

ChatGPT just picked up your UPI pin, and India is watching. Imagine: you ask a chatbot, “Order my usual groceries,” and instead of redirecting you to an app, it says: “Done. Payment processed. On its way.” That’s no sci-fi. That’s the new pilot from National Payments Corporation of India (National Payments Corporation Of India (NPCI)), Razorpay and OpenAI turning ChatGPT into a full-blown shopping agent. Reuters+2 Entrepreneur+2 Here’s how it works: You tell ChatGPT: “Buy ingredients for a Thai-style curry from bigbasket.” The AI scans the catalogue, shows options, and you tap “Yes”. It completes the order using UPI (via NPCI’s network + Razorpay’s stack) without you leaving the chat. mint And yes, your safety, tracking & cancellation are in the fine print. You remain in control. Gadgets 360 Why this matters: The UPI network in India already processes 20 billion+ transactions monthly. This is the new layer. Reuters+1 “Agentic payments” = AI, with your pre-authorisation, buying on your behalf. Not just clicks, but conversations. Entrepreneur Banking partners like Axis Bank & Airtel Payments Bank are already in. Business Standard+1 But here’s where the alarm bells ring for CXOs, fintech leaders, and brand strategists: Are you ready for a world where discovery + payment = one chat, no app switch? How will your brand show up inside a conversational agent instead of a screen of icons? What happens when control shifts: you consent once, and the agent acts multiple times? And yes, sharing payment/bank details with AI means zero friction but max trust required. So, let’s ask the tough question: Will you hand over your wallet to a chatbot or stay glued to multi-app chaos? Bold ask to the innovators: If you’re working on AI payments, conversational commerce, or CX disruption, let’s talk. Because this pilot isn’t just a feature; it’s a frontier. #AI #ConversationalCommerce #Fintech #UPI #AgenticPayments #ChatGPT #Razorpay #NPCI #OpenAI #CustomerExperience #Innovation #DigitalPayments #CXStrategy #PilotProject #NextGenCX #Linkedinreads

Here’s something most retail brands are finally waking up to: What works at one store might totally flop just 10 km away. I’ve seen this first-hand. Back when I was at Reliance Retail, heading marketing for 170+ stores across 30 cities, we had a dedicated budget for local store marketing. But this wasn’t centrally planned. We encouraged local store teams to take the lead, to understand their micro-market and suggest activities that would grow awareness in their communities. From sponsoring local events, eye check up camps at housing societies & corporates, organising in-store promotions tied to local holidays or festivals, or even collaborating with nearby businesses for cross-promotions, we did everything to reach the people closest to us. Even when marketing our malls, we follow the same philosophy. Hyperlocal marketing helps us connect with our hyper-primary catchment—the people most likely to visit, shop, and return. And that lesson carries over just as powerfully to online retail today. Online retail is playing on the same turf now. D2C brands are using geotargeting campaigns, collaborating with local influencers, offering region-specific discounts, and running ads in local languages. In both worlds, today, physical and digital, local context wins attention. And often, loyalty too. Because today, success doesn’t come from being everywhere. It comes from being right where it matters most. Have you spotted a hyperlocal campaign that made you stop and take notice, online or offline? #marketing #retail #hyperlocal #branding

🔴 #OpenAI made headlines last week as they announced that #ChatGPT users can now purchase products directly within conversations, starting with #Etsy and expanding to #Shopify's 1M+ merchants. No redirects. No leaving the chat. Just natural language shopping powered by Stripe's "𝐈𝐧𝐬𝐭𝐚𝐧𝐭 𝐂𝐡𝐞𝐜𝐤𝐨𝐮𝐭." 📍 Why this matters: ✅ For OpenAI: OpenAI`s current business is not profitable, despite the 700M weekly users. High AI development costs demand new revenue streams, and competing with Amazon and Google for transaction fees could become one of the ways. Please welcome, the new Intermediary. ✅ For merchants: A massive new sales channel with dramatically reduced friction is emerging. Conversational commerce could fundamentally change how customers discover and purchase products. A double-edged sword? ✅ For consumers: Shopping becomes as simple as chatting. Ask questions, get recommendations, and complete purchases—all in one interface. A new algorithm in charge. 🤔 📌 The catch: OpenAI claims product rankings are based on "availability, price, and quality"—not payment participation. But they also acknowledge the system "considers whether Instant Checkout is enabled" when displaying results. This could create 𝐚 𝐧𝐞𝐰 𝐠𝐚𝐭𝐞𝐤𝐞𝐞𝐩𝐢𝐧𝐠 𝐝𝐲𝐧𝐚𝐦𝐢𝐜 where merchants who don't integrate risk becoming invisible in ChatGPT's recommendations. ♦️ Important note: Don't confuse this with the "Delegate to your agent" feature—this is OpenAI directly monetizing commerce transactions, not enabling autonomous AI shopping agents. Are we ready for AI interfaces to become the new storefront? #Ecommerce #AI #ChatGPT #payments

What if you could track every item in your inventory—without lifting a finger? AI-powered machine vision is transforming inventory management. No more manual errors, no more stock surprises. Just real-time visibility, smart forecasting, and seamless logistics integration. 🔍 Here’s how machine vision is redefining warehouse and supply chain efficiency: Smarter Decision-Making – AI provides accurate data that supports better planning and forecasting. Instant Visibility – Continuous monitoring detects stock shortages immediately. Operational Efficiency – Automated checks reduce repetitive tasks and boost productivity. Accurate Stock Data – AI eliminates manual mismatches and keeps records precise. Seamless Integration – Machine vision tools connect with ERP and logistics systems to streamline operations. From personal experience working with businesses that deal with complex inventory systems, I’ve seen how even small AI implementations can deliver measurable improvements in accuracy and time savings. Don't miss upcoming insights on Digital Transformation 🔔 Activate the bell to stay up to date! And if you want to delve deeper, take a look at the DeltalogiX blog > https://bit.ly/4hDs9HU #MachineVision #InventoryManagement #AIinBusiness