Pharmaceutical companies previously scheduled their production schedule manually and thus inefficiently produced their drugs, often resulting in conflicts on assembly. In creating these schedules, companies keep track of historical usage of what drugs were experiencing a larger demand during specific periods and would accordingly adjust production. In addition, the tracking of changeover was necessary to better produce the optimal levels of medicine. Lastly, carrying cost was a great concern as those with greater cost were to be produced as late as possible so as to keep costs down.
Pharmaceutical companies now utilize artificial intelligence in order to maximize efficiency in their pharmaceutical production, specifically utilizing intelligent scheduling. With the implementation of AI, efficiency soared and the production was heavily fluid and optimal. In addition, the company was better able to respond to change in the marketplace as well as limit carrying cost. With a 12 month scheduling creation, some pharmaceutical companies saw a 16 percent overall efficiency creation and significantly reduced strain on managing their production capabilities as a result of artificial intelligence and autonomous planning and scheduling.