A system for treating aggregate for use in a concrete mixture comprising an intermediary hopper for receiving the aggregate, and an agent source in fluid communication with the intermediary hopper for applying a treatment agent to the aggregate deposited into the intermediary hopper. The treatment agent may be applied to the aggregate prior to the aggregate being used in a concrete hydration process. Method for treating aggregate for use in a concrete mixture comprising feedback control of the application of the treatment agent based at least on measured properties of the aggregate, the treatment agent, and/or the intermediary hopper. Method for treating aggregate for use in a concrete mixture comprising depositing and treating the aggregate as a plurality of batches to increase effective surface area for thermal exchange.

Example embodiments provide systems and methods for performing quality control of a construction composition. According to exemplary embodiments, a predictive model, artificial intelligence, machine learning algorithm, etc., may be trained using historical performance data and current deployment information. Based on a job specification that identifies various requirements for the construction composition and a set of available inputs, the AI/ML/model may output one or more formulations that meet or best approximate the requirements, and an initial batch of the construction composition may be produced. During or after deployment of the construction composition, information about the composition's performance may be received and applied to the AI/ML/model. The system may make real-time updates to the construction composition to improve the consistency or performance of the construction composition, within predefined acceptable change parameters. Optionally, the system may control mixing machinery to produce the updated construction composition.