## 5 Discussion of Findings  
Significant insights emerge from our real-world application, offering crucial considerations for solar energy management, and the integration of data-driven measures plays a key role in enhancing supply chain management processes within this sector. As the company progressively embraces proactive measures, the systematic approach herein proposed supports the integration of the desired strategies into solar energy management, ensuring optimized decision-making and resource utilization. Initially, on the basis of the recommendations provided in [4], the company decided to plan the implementation of a route-optimization strategy, followed by a warehouse-management strategy. This decision required further support in defining a method for prioritizing the implementation of measures that align with the specific needs and capabilities of the mentioned strategies. For this reason, the DEMATEL-ELECTRE TRI integration herein proposed aims to enable a progressive and incremental approach for gradual adjustments and improvements, minimizing disruptions and maximizing effectiveness while taking into account budget constraints. The initial DEMATEL application was based on the preliminary identification of a set of suitable criteria considered to be relevant to the problem of interest in the existing literature (Table 1). We were able to attribute different degrees of importance to criteria, and results led to higher weights attributed to the aspects of Satisfaction Level of Customer (B\({}_{2}\)), Quality (B\({}_{6}\)), Dependability (B\({}_{3}\)), and Responsiveness (B\({}_{4}\)). These results were obtained by mathematically treating input evaluations of mutual influence between pairs of criteria that were provided by the company management. On the basis of the composition of the resulting weights, we carried out two separate iterations of ELECTRE TRI aimed at assigning measures to three different classes (A, B, C) and expressing the priority of implementation. The first iteration was performed on ten data-driven measures specifically aimed at implementing the road optimization strategy. Labeled as RO\({}_{1}\), RO\({}_{2}\),..., RO\({}_{10}\), these measures were once again formalized by means of a thorough literature review (Table 4). Measures whose implementation is suggested with high-priority fall in class A (PP), and they are GIS and Weather-Adaptive Routing (RO\({}_{1}\)), which utilizes geographic information systems and real-time weather data to optimize route planning based on weather conditions; Dynamic Scheduling (RO\({}_{2}\)), enabling real-time adjustments to schedules and routes, enhancing responsiveness to changing circumstances; and Multi-Modal Transport Solutions (ROs), integrating multiple modes of transportation to optimize logistics and reduce costs. Implementing these measures would drive the company towards efficient allocation of resources to initiatives that offer the most immediate and impactful improvements in road optimization, laying a solid foundation for further data-driven enhancements in solar energy management. The second ELECTRE TRI iteration was performed on ten data-driven measures specifically aimed at implementing the warehouse-management strategy. Labeled as WM\({}_{1}\), WM\({}_{2}\),..., WM\({}_{10}\), these measures were once again formalized by means of a thorough literature review (Table 5). Measures whose implementation is suggested with high-priority fall in class A (OP), and they are Automated Replenishment Systems and Multi-ChannelFulfillment (WM\({}_{2}\)), which streamline inventory replenishment processes and enhance order fulfillment across multiple channels; Cross-Docking (WM\({}_{3}\)), facilitating efficient transfer of goods from inbound to outbound shipments, minimizing storage time and costs; and Quality Control Procedures (WM\({}_{5}\)), ensuring product quality standards are met before distribution. These measures would support the company in enhancing warehouse management, reducing costs, and further improving customer satisfaction.