## 1 Introduction  
Many approaches about the analysis of the usability of an internet site are based on the check of usage patterns through log files or on the analysis of static pages according to criteria defined by the web designer. Some examples are the Automatic Navigability Testing System (ANTS) [1], and the tool TEA supporting the user tests by means of automated tasks [2]. Other tools as WebTango [3] evaluates a website according to quantitative attributes empirically validated. The ISEtool [4] performs an automated analysis to calculate information for all links of a web page. Usability is one of the main factors determining the success of a website. It is, therefore, important to have methods for evaluating the usability of websites. Such methods could be used to help web designers make their websites more usable. In [5], the studies are focused on the usability problems of a website, implementing an evaluation tool based on web questionnaires for user feedback. The User eXperience (UX), is surely a tool suitable for the usability check of specific web pages. In [6], some researchers adopted Graphical User Interfaces (GUIs) for the UX analysis of web maps. The UX can also be improved by Support Vector Machine (SVM) algorithms integrated into E-Commerce platforms [7]. Alternative solutions are the user action monitoring on the web pages [8] and the web mining discovering navigation patterns [9, 10]. User personality can be an important factor for product design [11]. In this direction, an idea can be to use the user feedback in order to improve the web page design. The web page design approach by UX is a concept adopted in different application fields [12, 13], and it is a topic of the actual research. The web page classification is a way to select the impact pages. In this direction, the Recurrent Neural Network (RNN) could provide important information about the best web page features using tags [14]. The use of the score is useful in order to weight the web page classification algorithms such as Support Vector Machine (SVM) [15]. The Long ShortTerm Memory (LSTM) networks have been applied for the web page depth viewability prediction [16]. Moreover, a key factor influencing the effectiveness of a user interface is the usability resulting from its design, thus confirming the importance of the UX about the design of software interfaces [17]. Concerning E-Commerce pages, Artificial Intelligence (AI) algorithms play an important role in shaping consumer demand [18; 19] and defining factors influencing the related use [20]. Other methods such as the UX click rates [20] are also interesting to formulate recommendation models in E-Commerce. Actually, there is no generic model based on AI, usable for web page designers, including all the aspects found in state of the art such as UX, scoring, and AI. Some concepts analyzed for the E-commerce systems are also suitable for the impact of generic web pages. Web interaction metrics are considered fundamental to provide a framework according to the application field. In the case of Digital Marketing (DM) [21], some parameters are based on Web Analytics (WA) [22], Search Engine Optimization (SEO) [23], Search Engine Marketing (SEM) [24], and Click-Through Rate (CTR) prediction model based [25]. Specifically, concerning WA, some important parameters that are considered for the metrics are traffic type, time on site, keywords, new visitors, and returning visitors [21; 26; 27; 28]. Other metrics and methods suitable for web analysis are discussed in [29]. Following this direction, has been formulated a platform, which automatically provides the best web page template to consider addressing the design. The paper describes the architecture of an innovative platform based on the concepts previously discussed and suggesting a model to construct and design a web page. This architecture has been developed and tested within the framework of an industry project by proving the functionality of the proposed model.