Currently there is a good deal of chemical process placed within the production value chain in the global economy. Enriching, expanding and designing not only products but also processes while following international environmental standards either by reducing environmental burdens connected with services, products and processes or by making industrial processes, services and practices chasing sustainability is a must-do activity. The life cycle assessment is a valuable tool that names all the direct and indirect environmental consequences or impacts caused by the industrial processes; if the energy inputs and outputs of such processes as well as their residual materials are identified many innovative practices can take place, for instance: planning strategies considering the environment, selecting more sustainable waste and residual policies, designing and improving products, making comparisons of similar products or processes as well as optional designs of processes aiming to lower environmental impacts. In order to apply the life cycle assessment and develop any of the previously mentioned innovations, scope and goals must be declared in doing so we will start to gather inventory data. Putting together characteristic inventory data (of energy and material flows) is essential and useful to create a proposal which will meet the expected project’s goals. This is a key step within the LCA methodology because once this inventory data is gathered it will be evaluated and deciphered so that a decision according to the purposes of the study can be taken. However, many projects deal either with a shortage of information or with an inability to access the available information - many projects are restricted because of copyright status or the confidentiality of the companies which sponsored them. This work presents a methodology to estimate a life cycle inventory for early design of any chemical process. Even though this methodology can help any industrial chemical process it will be especially useful for projects focused on the chemical and chemical pharmacological sectors since most projects connected to such areas usually come across a lackness of data and this is a huge obstacle that most of them can not easily overcome. This work represents a priceless technical path due to the fact that helps to reduce the amount of time and effort invested in the search of industrial and academic projects. Another benefit of this methodology is that it predicts the inventory