The reason for this is twofold. First, a pervasive and growing fear of data protection. According to a report by PwC, Swiss consumers are more concerned about data security and privacy than people in the rest of the world. Second, using AI for marketing solutions requires a unified data strategy. These obstacles are not insurmountable, and some Swiss companies such as Swisscom and Nestlé Dolce Gusto are leading the way in implementing successful marketing solutions.
A stronger relationship, a greater need
In this environment, the digital customer experience has never been more important. Customers and clients are becoming accustomed to the convenient, immediate nature of digital services. In turn, companies generate recurring predictable revenue. Subscription models can lead to deeper and longer customer relationships, but require more effort. A service must constantly change and improve to remain relevant to customers.
If you want to compete in customer relationship management, it's about delivering an engaging one-to-one customer experience - personalized, agile and fast - despite the lack of face-to-face interaction. You need to be ambitious, whether that means delivering AI-driven chatbots with deep customer understanding or an integrated data view that enables customer service representatives to respond to every inquiry.
However, traditional customer systems are too often siloed. They lack an intelligent process that guides the customer through their journey and ensures they receive a relevant, satisfying outcome at every step.
Big Data for a truly personalized experience
Successful brands are those that gather information at every interaction and know their customers intimately so they can communicate with them personally. This is at the heart of a transformation and is categorized as the "Experience Economy." To take advantage of this new reality, unified customer intelligence platforms can help.
By instantly capturing online and offline marketing, sales, and service data, applying machine learning algorithms to that data in real-time access, and then presenting appropriate offers to each customer, providers can not only make their customers happier and more loyal, but also position their business to be more profitable.
The big challenge: data protection
Data security has a huge impact on customer trust. Companies must ensure they have the right security protocols in place as they expand their use of customer data. As cyber threats become more sophisticated, security must be an ongoing priority in all areas of the business. With the right technology, first-party data can be linked to third-party data from the Oracle marketplace, for example, in strict compliance with all national and international regulations. In turn, companies can deliver seamless experiences and hyper-personalization - prerequisites for competing in the Experience Economy.
When you have the back office under control, you win on the front line
A customer is an individual whose needs change every day. So how can a service or a company change with him? First of all, there needs to be a holistic view of the customer and also of the company itself.
There is no universal solution. However, companies should aim for a fully integrated and intelligent infrastructure. An infrastructure that connects the front and back office via a single, networked data platform. The goal must always be to support account managers and developers so that they can make faster and more targeted decisions.
Once upon a time - in the not-too-distant past - back-office functions were of little importance to customer experience managers. The need to quickly retrieve technical customer data has changed that. However, many companies are still stuck in the past. They have separate front- and back-office systems that can't be connected without expensive third-party integration. As a result, they can't manage their inventory, supply chains, or service to meet customer needs.
In contrast, a unified solution can capture and analyze customer interaction data from both the front and back office. This helps service providers better understand changing buying behavior and preferences. It enables them to quickly introduce new offers and products and create adaptable service that delights customers.
This integrated data layer also forms the basis for intelligent, AI-powered automated systems that can scale quickly and intelligently to customer needs and requests. This minimizes the complexity of customer management, reduces human error, and instead allows employees to focus on what's really important: actually serving customers.
Swiss success stories include Swisscom, Nestlé Dolce Gusto and Bata. Swisscom has embarked on a digital transformation journey to ensure, among other things, that they can continue to provide the best service to their customers regardless of their location. To enable this, they are working with Oracle to provide the right platforms to support the best possible service for their customers.
In Switzerland, Nestlé Dolce Gusto uses Oracle's cloud-based email marketing application to reach, adapt, and cross-sell to consumers worldwide. Nescafé Dolce Gusto understands that it's not just about launching campaigns, but setting goals and improving message relevance. The technology goes far beyond just sending emails and provides excellent dashboarding to achieve this goal. Now, one-third of the brand's e-commerce sales come from leads enabled by this technology.
Another example is international footwear retailer Bata, which serves more than one million customers daily in 5,500 stores in 70 countries. The retailer is rolling out an implementation of retail-specific technology across the globe to deliver a more consistent and satisfying shopping experience with better insight into customer preferences and demand at the store, regional and country levels.
For its Special.T brand, Nestlé has implemented a multi-channel customer service platform based on the cloud. This cloud solution is tailored for use in customer services and allows the company to integrate different aspects of customer data: Chat, Customer Portal, Knowledge Base and Social Media Listening. Today, these are highly integrated and interconnected. Today, it is important that customers receive everything quickly and, if possible, in digital form.
Swiss companies are moving in the right direction. Customer intelligence platforms that work with machine learning and AI are not just the latest tools that marketers can use to segment markets, automate campaigns, or qualify and convert leads. They provide exactly the infrastructure brands need to ensure their long-term competitive advantage.
Overcoming customer complexity
In today's economy, it is easier and more effective for companies to pay for access to services than to build and maintain the infrastructure to deliver those services. Yet service providers can't take anything for granted. The subscription and "as-a-service" space has never been more competitive, and it's becoming increasingly difficult to stand out from the crowd. That's why all companies operating or moving to a subscription-based model need one thing: a unified infrastructure.