Clinical supply professionals are tasked with assessing the impact of protocol revisions, sometimes as soon as the initial protocol version is approved. Supply impact assessments are critical and time sensitive, and traditional supply software solutions are slow to respond and challenging to interpret without extensive knowledge of statistical algorithms. NLP-based algorithm converts study parameters from plain English into detailed forecasts, allowing supply managers to modify supply models as frequently as needed without effort, with full transparency into inputs and a direct correlation to its outputs.
