As more retail marketing leaders strive to achieve their north star and true 1:1 customer engagement they are looking to AI to automate much of the process. As we look to AI as a true business partner on this journey, leaders from across industries are asking questions about privacy. Our very own Mark Drasutis shares his thoughts on some of these considerations and how to approach some of these opportunities.
How AI can help achieve 1:1 customer engagement
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How an E-commerce Leader Cut Costs by 28% and Boosted CSAT with AI Is your contact center working with yesterday's technology? One of our clients, a rapidly growing online retailer, faced a common challenge: surging call volumes were leading to longer wait times, frustrated customers, and escalating operational costs. Their goal was clear: enhance customer experience without hiring a massive new team. That's where Prism Tech Consulting Inc. stepped in. By strategically implementing the AI and machine learning tools within Amazon Connect, we transformed their customer service from a cost center into an intelligent, efficient powerhouse. The Solution: A Multi-Layered AI Strategy We deployed a targeted suite of Amazon Connect's AI services to address their key pain points: 1. Amazon Lex for Self-Service: We built an intelligent, conversational IVR that understood natural language. Customers could now handle routine queries like "Where is my order?" or "What's your return policy?" without ever speaking to an agent. 2. Amazon Connect Voice ID for Security: We eliminated the frustrating "20 questions" authentication process. Voice ID uses machine learning to verify a caller's identity in seconds based on their unique voiceprint, streamlining the experience and adding a powerful layer of security against fraud. 3.Contact Lens for Amazon Connect for Analytics: For the first time, our client had 100% visibility into their customer conversations. Contact Lens automatically transcribed and analyzed every call for sentiment, key topics, and agent compliance, turning raw data into actionable insights. The Results: Transformative & Measurable Our tailored implementation delivered significant, data-backed improvements: ✅ 40% Reduction in Agent-Handled Routine Calls (thanks to the Lex-powered IVR). ✅ 28% Overall Reduction in Contact Center Costs. ✅ 75% Faster Caller Authentication Time, dramatically improving the customer experience from the first second. ✅ 15-Point Increase in Customer Satisfaction (CSAT) Scores in the first quarter, driven by faster resolutions and less friction. ✅ Zero successful fraudulent account access attempts since Voice ID implementation. This is the power of AI-driven customer service. It’s not about replacing agents, but empowering them to focus on high-value, complex interactions where they are needed most. Is your business ready to unlock this level of efficiency and customer insight? Contact Prism Tech Consulting Inc. today for a complimentary AI-readiness assessment for your contact center. Let's build your success story. #AmazonConnect #AI #MachineLearning #ContactCenterAI #CX #CustomerExperience #CaseStudy #PrismTech #AWS #CostSavings #DigitalTransformation
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62% of consumers want more personalization. Only 21% trust brands with their data. That's a gap: Sounds like we're rushing headfirst into hyper-personalized, AI-powered experiences. But without consent, transparency, or ethical guardrails, it stops being CX and starts feeling like surveillance. #CX ##Artificial #Intelligence #AIInnovation #AIForBusiness https://lnkd.in/gtrPUbxf
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We've reached a turning point in how we gather customer data. For years, our efforts have been focused on inference: using clickstream data, browsing history, and demographics to guess at customer intent. But let's be honest, that approach is 1) imprecise for experience designers and marketers, 2) invasive for customers, and 3) increasingly limited by privacy regulations. One idea I’ve been thinking about is DECLARATION and the use of first-party data in LLM interactions to co-create context with customers. Interfaces now increasingly have an AI layer, and LLMs make it possible for more two-way dialogue between brands and customers. These conversational UIs can be designed to invite customers to declare their context in their own words. They can articulate their goals, constraints, and needs in natural language…it’s a kind of data that’s higher-signal and lower-noise than anything we can infer. Declared data > inferred data. My perspective is that the brands that build for this kind of trusted, two-way dialogue, and not just one-way data extraction will get far better data (+ quality) and build far deeper trust. The key isn't just to ask for context in LLM experiences, it’s to show your work. This idea is what I'm calling the "Context Ledger": a transparent, turn-by-turn narrative that proves the AI is remembering and acting on what the user shared. Imagine a travel booking scenario: 🧑💼: "I'm looking for a weekend trip with my family. We have a toddler, so we need something stroller-friendly." 🤖 : "Got it. I'll prioritize options that are a short walk from amenities and have nap-friendly schedules. I'll also pre-filter for places with elevator access. How does that sound?" 🧑💼: "Perfect, thanks. And what about a tight budget?" 🤖: "I hear you. I’ve just updated the search to show the most cost-effective options, including some with free admission for kids. I used your toddler + stroller + budget preferences to narrow things down. Would one of these options work for you?" This kind of “context receipt” converts a moment of user disclosure anxiety into voluntary sharing and trust. It shifts our CX from transactional to truly collaborative. Dialogue can be the enabler of real strategic advantage - collecting customer data needs to follow quickly with proving you’ve understood and showing how you’re using that data to deliver value quickly. #ExperienceDesign #DataStrategy #LLM #CX
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⚠️ Machine Customers Are Coming – Is Your Business Ready? Google has just unveiled its new AI Mode agents, kicking things off with restaurant reservations but eyeing a much bigger prize: AI-powered machine customers that can handle service interactions without humans in the loop. 🔴 Analysts warn of huge challenges around authentication, security, and infrastructure redesign 🔴 Gartner predicts 15–20% of revenue could come from AI-driven customers by 2030 🔴 The big risk? Losing direct connection with customers as machines take over routine interactions As Daniel O’Sullivan of Gartner put it: 💬 “You’re battling against the tide if you dig your heels in… customers will do whatever they want.” The future isn’t just human-to-machine CX — it’s machine-to-machine. Are enterprises truly prepared? Get the scoop 🔗 https://lnkd.in/eDzhn_fZ #AI #CustomerExperience #CXInnovation #Google #MachineCustomers
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”…William-Sonoma is investing in AI to improve customer service and experiences across channels, executives said on a Q2 2025 earnings call last week. The retailer launched an AI-powered customer service assistant at Pottery Barn Kids earlier in the summer and scaled it across all brands last week, according to CEO Laura Alber. The software is designed to improve customer issue resolution rates and speed while reducing costs. Williams-Sonoma is also preparing to launch an AI-powered “culinary companion” that will help customers with product discovery and offer advice on topics like holiday entertaining, Alber said…”
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☝️ Zero-Party Data: The Key to Smarter AI Recommendations and Retail Success By 2025, 75% of retailers with modern data strategies are expected to 𝐢𝐦𝐩𝐫𝐨𝐯𝐞 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐬𝐚𝐭𝐢𝐬𝐟𝐚𝐜𝐭𝐢𝐨𝐧 by 50% and reduce costs by 25%, according to IDC ➡️ The secret? Actionable, timely data that fosters stronger customer relationships and boosts operational efficiency. In our latest article, we explore how 𝐳𝐞𝐫𝐨-𝐩𝐚𝐫𝐭𝐲 𝐝𝐚𝐭𝐚 (𝐙𝐏𝐃) is transforming the retail landscape: 💠 What makes ZPD more accurate and trustworthy than traditional third-party data. 💠 How integrating ZPD with AI creates smarter recommendations and upselling opportunities. 💠 Why ZPD is essential for delivering personalized, loyalty-building experiences. Ready to rethink your data strategy and turn insights into action? Learn more in the full article: 👉 https://hubs.la/Q03FcfLk0 #ZeroPartyData #AIRecommendations #RetailUpselling #Infoverity #DataDriven #Personalization
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The first of a two-part series on how AI is impacting fuel and convenience retail went live today in NACS Daily News. In today's edition, Shyam R. discusses how the customer experience is being transformed and why early adopters are building competitive advantages. Key insight: AI can create engagement opportunities as early as the forecourt, driving fuel-only customers into the store with compelling experiences and contextually relevant offers. Link below. What's your take on AI in fuel retail? https://lnkd.in/gK-UXSyK
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AI is changing personalization from simple product suggestions to entire customer journeys ✨ Brands that embrace data integration, transparency, and small pilot projects today are the ones building real trust and long-term loyalty tomorrow.
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Top 10 AI tools Philippine customer service pros should know in 2025 — features, pricing, PH use cases, and beginner tips for BPOs and ecommerce.
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