TimeMint’s AI can model perturbations caused by outside factors, and can assess cost and schedule impact in various “what-if” scenarios, thus enabling emergency preparedness and avoiding future drudgery.
In under 5 seconds the AI/ML engine runs proprietary algorithms and gives a customized schedule for each participant after taking into account all the specified preferences and constraints.
TimeMint’s AI based solution differentiates between various levels of urgency and importance associated with any task, and the AI engine schedules important tasks before they become urgent.
It accounts for human preferences for tasks, human preferences for locations and flexible hours/shifts, human preferences for teammates and tasks, prerequisites and post-requisites of tasks, fixed-ETA versus flexible-ETA tasks, avoiding priority inversion, all while maximising the efficiency and minimising the op-ex simultaneously.