
Trial Supply
TrialSupply provides clinical trial demand forecasting and supply planning software purpose-built for the monthly Clinical Demand & Operations Planning (CD&OP) process at pharmaceutical and biotech companies. The platform replaces Excel-based planning with a spreadsheet-style interface where forecast logic lives in the product, enabling real-time collaboration between clinical and supply chain teams on a single live plan. Every forecast is snapshotted to enable cycle-over-cycle accuracy measurement against actual enrollment.
- Logistics & Supply Chain
- Healthcare Technology
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Pharmaceutical and biotech companies rely on Excel-based processes for clinical trial supply planning, which breaks down during the monthly Clinical Demand & Operations Planning (CD&OP) cycle. Fragile cell formulas, emailed workbook versions, and a disconnect between clinical assumptions and supply calculations lead to errors, version confusion, and time-consuming reconciliation.
Solution
TrialSupply is clinical trial demand forecasting and supply planning software purpose-built for the monthly CD&OP process. It keeps a familiar spreadsheet-style interface but moves forecast logic into the product, so enrollment projections, treatment arm modeling, and dosing schedules automatically recalculate as assumptions change. Clinical operations and supply chain teams work from one shared, live plan instead of exchanged workbooks, and every forecast is snapshotted to enable cycle-over-cycle accuracy measurement. The platform covers the planning layer that IRT/RTSM systems are not designed for, seamlessly connecting with existing IRT and enterprise systems while providing depot-level demand aggregation and buffer stock management.
Target Audience
Primary customers are pharmaceutical and biotech companies running clinical trials, specifically clinical operations, supply chain planning, and clinical supply chain teams that need structured, collaborative demand forecasting and supply planning for their monthly CD&OP process.
Features
- Demand forecasting module converting patient enrollment projections, site activation timing, treatment arm randomization ratios, and dosing schedules into monthly drug demand forecasts
- Supply planning module with automated supply calculations, depot-level demand aggregation, buffer stock management, and months-of-supply visibility
- Multi-trial management enabling a portfolio of trials in one system with cross-trial visibility and centralized reporting instead of a separate workbook per study
- Protocol integration with protocol-driven forecasting and treatment arm mapping for structured, repeatable study setup
- Forecast snapshots that track forecast-vs-actual enrollment, turning monthly CD&OP reviews into a discussion of why assumptions moved rather than whose spreadsheet is correct
- Real-time collaboration between clinical and supply teams on a single live plan, with supply chain network modeling (sites, depots, routes) and custom analytics reporting
- ISO 27001 compliant security practices for enterprise deployment