80% of your consumers are more likely to purchase from your brand when you offer a personalised experience, which is almost your entire customer base. So, is fast delivery or basic service still enough? Not anymore. Customers now expect more: they want it their way, every time.
Convenience and speed still matter, yes, but what sets a brand apart today is hyper-personalisation. Do you know what your customers like? When do they want it? Can you offer something that feels like it was made just for them? That’s the new standard and it’s what keeps them coming back.
That’s why more and more businesses are turning to AI solutions to deliver data-driven personalised experiences at scale. And if you haven't yet thought about how AI can transform your business, now is the time. In our latest article, we explore how AI is powering hyper-personalised customer experiences for businesses to lead in the market.
With rising customer expectations, delivering personalised experiences has become more important than ever to stay relevant. At scale, where companies engage customers with personalised and meaningful interactions, it can lead to a 1 to 2% increase in total sales for consumer-facing businesses, with even higher gains in sectors where loyalty and frequency are key drivers. These strategies can also reduce marketing and sales costs by 10 to 20%, thanks to improved targeting and efficiency.
Hyper-personalisation also builds stronger connections with customers. Brands that deliver great experiences see up to 20 % higher customer satisfaction, a 10 to 15% uplift in conversion rates and a 20 to 30% increase in employee engagement. Businesses leading in customer experience consistently generate shareholder returns up to three times greater than their competitors with lower satisfaction scores [source].
If you're part of a growing business, you're likely familiar with the common challenges that prevent your brand from delivering the “perfect” hyper-personalised experiences customers expect:
To deliver hyper-personalisation, you need a holistic view of your customers, drawing from various sources like your website, mobile app, CRM and social media platforms. However, if your data is spread across disconnected systems, it's tough to get a complete picture of who your customers are and what they want. Data silos can hamper your ability to personalise effectively and create a seamless experience across touchpoints.
Hyper-personalisation lives on real-time insights. Customers expect brands to respond to their actions instantly, whether they’re browsing your site or engaging on social media. But processing data in real time requires advanced infrastructure and powerful technology. If your current systems are not up to speed, you’ll struggle to personalise experiences in the moment.
Hyper-personalisation goes beyond sending a targeted email, it’s about creating the right message at the right moment across a wide range of touchpoints. This requires dynamic content tailored to various customer segments, preferences and stages of the buying journey. But for many businesses, this can feel overwhelming and complex to manage at scale.
You know it, customers have become more aware of how their data is being used and respecting their privacy is essential. Adhering to privacy laws like GDPR while personalising at scale can be tricky. You need to make sure that your data collection and usage practices respect privacy rights, all while delivering highly relevant, personalised experiences.
Almost every leading company is interacting with customers via hyper-personalised experiences. Why? They can anticipate customer needs, offer relevant, real-time recommendations and create highly tailored engagements that build stronger relationships and increase customer satisfaction.
Here’s how companies are using AI to deliver hyper-personalised experiences across industries:
Building a system that knows what your customers are likely to want before they even ask for it is what AI can do for you. AI allows businesses to use past behaviour and purchase history to predict what customers will be interested in next. For example, an e-commerce site can recommend products that customers are most likely to purchase based on their previous choices or browsing activity. Take Netflix, for example, the platform uses AI to track viewing habits and recommend movies and shows based on what users have watched before. And you know, with a massive user base of over 100 million worldwide, this kind of large-scale hyper-personalisation is all powered by AI.
Customers expect real-time, relevant offers that speak directly to their needs. AI allows companies to create context-aware promotions based on real-time data such as location, browsing behaviour or time of day. This means a customer might receive a personalised discount for a product they’ve been eyeing when they are close to a physical store or a tailored offer when they’re most likely to purchase online.
For example, Starbucks uses AI through its mobile app to send location-based offers. If a customer is near a Starbucks location and is a regular buyer of a particular drink, the app might offer a special promotion or discount on that beverage.
A successful business cannot run without customer service at scale. AI-driven chatbots and virtual assistants can manage customer inquiries 24/7, providing instant support without human intervention. These intelligent assistants can handle basic queries but also understand the context of the conversation, offering highly relevant solutions and recommendations. The result? Enhanced customer satisfaction and lower operational costs, as customers can find what they need quickly and easily, whenever they need it.
A loyalty program should do more than just reward repeat purchases. It should make customers feel seen and appreciated. AI helps companies develop hyper-personalised loyalty programs that reward customers with tailored incentives. For instance, rather than offering the same blanket discounts to everyone, AI can suggest individualised rewards based on a customer’s unique preferences and purchasing habits.
Such AI-driven hyper-personalisation at scale requires an infrastructure that can handle the speed, scale and complexity of AI workloads.
At the AI Supercloud, we provide solutions that cater to these demands:
With our customised infrastructure options, we tailor everything from GPUs and CPUs to RAM, storage, firmware and middleware to match your specific AI workload demands. Whether you're training models or deploying real-time hyper-personalisation at scale, we ensure your model delivers peak performance.
High-Performance GPU Clusters for AI, like the NVIDIA HGX H100 and NVIDIA HGX H200, process large volumes of user data and context instantly. Whether it’s a recommendation engine or a digital assistant, these GPUs enable real-time decision-making for personalised responses that feel human.
Advanced Networking, including NVLink and NVIDIA Quantum-2 InfiniBand, ensures your AI systems can respond with minimal latency. Hyper-personalised experiences like a custom plan or product suggestion lose their magic if they lag.
High-throughput storage is critical for pulling the right data at the right time. With our NVIDIA-certified WEKA with GPUDirect Storage solutions, AI applications can deliver personalised experiences more effectively as they can process and respond to user data in real time without the typical bottlenecks associated with traditional data transfer methods.
Our fully managed Kubernetes environments are purpose-built for AI, supporting custom configurations and complex scheduling for demanding workloads. With SLURM integration, you can efficiently orchestrate large-scale model training and inference jobs, ensuring your AI systems deliver real-time, hyper-personalised experiences without compromise.
AI enables real-time, data-driven customer insights to tailor experiences, boost satisfaction, and increase sales, automating what manual methods can't scale across touchpoints or large customer bases.
Hyper-personalisation goes beyond basic targeting. It delivers tailored content, offers, and support in real time, using AI and behavioural data to make every interaction feel uniquely relevant.
Disconnected data, outdated infrastructure, content creation complexity, and privacy concerns often limit brands from delivering consistent, meaningful, and timely personalisation across all digital channels.
Yes. AI needs high-performance GPUs, fast storage, and low-latency networking to process real-time data and deliver seamless hyper-personalised experiences at scale without lag.