As the expectations of digital consumers increase in terms of personalized experiences, comfort, speed, safety and accessibility, digital experience platforms (DXP) have become essential for organizations. These software platforms allow companies to create, manage and optimize integrated and personalized digital experiences for their users through different channels and devices.
Digital experience platforms
Lifeferay experts have identified some trends that will increasingly characterize the development of DXP platforms in the coming months:
- The Low-Code revolution. The low-code is not only a trend, but a strategic pillar of digital transformation. Thanks to intuitive tools and functionalities of “dragging and release”, innovation is no longer only in the hands of IT teams. “Citizen Developers”, professionals without advanced technical knowledge, can now create and customize digital solutions, addressing specific needs autonomously and reducing their dependence on the IT department. This approach democratizes innovation, involving the entire organization in the digital transformation process and creating an inclusive business culture where each voice can boost change.
- Hyperpersonalization through data integration. One of the greatest obstacles to companies is the fragmented management of data between different departments, which leads to a partial vision of information and limits the capacity to adapt to the market. To overcome these barriers, it is essential to adopt a DXP that is easily integrated with existing systems. A flexible platform, equipped with advanced tools and API generators, can connect the systems quickly, knock down the silos and simplify the processing of data from various sources. Only with well -connected and accessible data, organizations can take the way to hyperpersonalization and respond with agility to market needs.
Given the growing demand for living increasingly autonomous and personalized digital experiences, with the support of AI attendees, organizations must materialize the potential of AI and the generative AI
- Real -time analysis for concrete solutions. The ability to transform data into useful information defines a company’s market position. It is not just about speed, but about the ability to recognize the new needs of the user and the market first, and customize the offer accordingly. Real -time data processing guarantees that the information remains updated and highly usable, allowing companies to interact and respond to customers without delays.
- Sophisticated artificial intelligence and automation. DXP should be able to integrate different models of AI to offer more precise and predictive experiences, based on user behaviors and preferences, and to automate workflows. The generative AI will further boost the creation of personalized experiences, using real -time data to quickly react to changes in user preferences and improve response capacity.
- Trust in the generative AI attendees. The current digital user seeks to act autonomously, with the assistance of a human operator only when necessary, and increasingly, of a virtual assistant. The modality of assistance is changing, with users preferring non -physical tools such as chatbots, smart widgets and virtual assistants integrated with generative.
- Componable and Headless architectures for omnichannel. The essence of componable architecture lies in its modularity, allowing companies to adapt technology to their specific operational needs. A componable architecture allows to replace, integrate or add any technology, including consolidated legacy systems and tools. The adoption of cloud-based approaches, Low-Code/NO-Code development and integration between Legacy technologies will help unlock innovation, making companies more agile and reactive in a dynamic market. A componable approach and Headless architectures will be fundamental to offer scalable and flexible experiences in multiple channels.
