ARTICLES BY ESHAAN JAIN
-
![Warehouse task setup-GettyImages-2256605674]( "Lessons In Forecasting Discipline From A $40B Supply Chain")
8/31/2026Forecasting errors rarely start with the algorithm. They start when protocol changes, enrollment and site data reach the supply plan too late to prevent waste and disruption.
-
![legal settlement, financial report-GettyImages-1413994710]( "Accountability Gaps Can Break Clinical Supply Contracts")
8/24/2026Contract gaps can create clinical supply failures when responsibilities differ across agreements. See how aligning obligations can prevent costly disputes, delays, and risks.
-
![Pharmaceutical industry research, development data-GettyImages-1354838510]( "Fixing The Data Problem Before AI Can Help Clinical Trial Supply")
8/14/2026AI cannot fix clinical trial supply forecasting when the underlying data is fragmented. Structuring enrollment, inventory, and label data comes first.
Eshaan Jain
Eshaan Jain is a senior product consultant at Mphasis and serves as the lead product owner for Salesforce/Vlocity CPQ and CLM at T-Mobile, engaged through Mphasis’s consulting services. He previously worked as a senior technical program manager at Amazon, where he co-built a machine learning system that extracted clause-level data across a $40 billion annual supply chain contract portfolio with 95% accuracy. He is an IEEE senior member and holds professional membership with Forbes Tech Council, ACM, IEEE, Isaca, and AAAI.