Life Cycle Assessment (LCA) is the most commonly used methodology for evaluating the environmental impacts of a product or a service. The life cycle of a product or a service consists of raw material extraction and preparation, the process and manufacturing of the product, the product’s distribution to the final user, usage of the product, and finally the waste treatment of the product. Supply chain management (SCM), is the process of managing the flow of goods and services to and from a business. SCM includes the first steps of a product’s life cycle, from raw material extraction and the production of the product to the transportation of the product to its final user. LCA can be utilized to assess the environmental impacts caused in the supply chain of any product or service. By applying the LCA methodology, environmental hotspots in the supply chain can be identified. Based on the results of LCA, decisions can be made so the supply chains’ environmental performance can improve, and finally, environmental certification can be acquired. However, all LCA software that are currently available in the market, relies on static data and Life cycle inventory (LCI) with average, and sometimes outdated data, for the calculation of impacts for any given production process. To that end, in the framework of the “Real-time, environmental assessment of agricultural and agrifood production for the support of certification schemes” project, a real-time, online LCA Engine is being developed, focusing on the agrifood industrial sector, where certification is highly demanded. The tool, which can improve the environmental performance of the agrifood sector SCM, apart from exploiting data from available LCI databases, also utilizes real-world data, sourced from sensors. The first step in the development of the tool was to identify the potential end-users requirements for such a software. To do so, a survey was conducted. In this study, the key findings of the survey are presented. The key outcomes of the user requirements survey will be used for those to be “translated” into functional requirements of the LCA Engine. The work is funded within the framework of the Operational Programme “Central Macedonia” of the PA 2014–2020, Innovative Investment Plans, and co-financed by the Greek State and the European Union and, in particular, by the European Regional Development Fund (ERDF) (project code: ΚΜΡ6–0078501).