A global pharma giant was struggling with manual processes to predict the drug dosage inventory needed for clinical trials and other drug studies at various sites. Each site had a team of supply chain leads (SCLs) who were responsible for the drug inventory management. The team used to manually determine and order the next dosage of drugs which then needed to be shipped from the nearest depot.
The SCLs were spending considerable time navigating through multiple databases, and Spotfire dashboards to collect the dosage inventory, number of ongoing subjects for the study, etc., and then manually calculating the inventory of dosages.
They approached i2e to digitalize the whole process, cut down manual work and use AI/ ML to predict the dosage inventory accurately.
The team was quick to understand the problem and designed an ML solution capable of accurately recommending the inventory of drug dosages required for their studies worldwide.
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