Abstract: In one embodiment, the present disclosure is directed to a method for producing a product. For each sample chemical composition of sample chemical compositions, the method inputs into a first model chemoinformatic properties of ingredients of the sample chemical composition, and a value of a property of the sample chemical composition. A new chemical composition is determined via the first model based thereon. The method inputs into a second model, for each sample product of sample products, a value for one or more visual properties of a packaging of the sample product, and one or more characteristics of the new chemical composition. A value is determined for each of the visual properties via the second model. A new product is produced comprising the new chemical composition and packaging comprising the values.

Abstract: A system, apparatus, and/or method is disclosed for—inter alia—producing a product. One or more financial characteristics relating to one or more sample products may be received. For each of the sample products, a value for each of one or more respective properties of the sample product may be received. The received values of the one or more respective properties of the sample products, the one or more received financial characteristics relating to the sample products, and a desired financial characteristic for a potential product may be input into the machine learning model. A value for each of the one or more respective properties for the potential product may be determined based on the desired financial characteristic for the potential product. A product having the determined value for each of the one or more respective properties for the potential product may be produced.

Abstract: A system, apparatus, and/or method is disclosed for—inter alia—producing a product. One or more financial characteristics relating to one or more sample products may be received. For each of the sample products, a value for each of one or more respective properties of the sample product may be received. The received values of the one or more respective properties of the sample products, the one or more received financial characteristics relating to the sample products, and a desired financial characteristic for a potential product may be input into the machine learning model. A value for each of the one or more respective properties for the potential product may be determined based on the desired financial characteristic for the potential product. A product having the determined value for each of the one or more respective properties for the potential product may be produced.