Trialzen provides an AI‑driven forecasting platform that integrates with Randomization and Trial Supply Management (RTSM) systems to generate real‑time supply predictions for clinical trials. The tool offers interactive dashboards for scenario modeling, cost impact analysis, and inventory optimization, helping pharmaceutical and biotech supply chain teams reduce over‑stock, waste, and trial delays.
Funding
Funding not disclosed
Founders
Product
Problem
Clinical trial sponsors often struggle with inaccurate supply forecasts, leading to excess inventory, waste, and delays that increase trial costs and risk missing enrollment timelines.
Solution
Trialzen offers a forecasting and planning platform that integrates directly with Randomization and Trial Supply Management (RTSM) systems to provide real-time, data‑driven supply predictions. The solution uses advanced analytics and applied AI to model trial schedules, production constraints, and site demand, delivering precise cost and inventory recommendations. Users interact through an intuitive web interface that visualizes supply scenarios, allows rapid adjustments, and generates actionable reports for budgeting and logistics teams. By aligning supply chains with trial timelines, the platform reduces over‑stock, minimizes waste, and improves overall trial efficiency.
Target Audience
Primary customers are clinical operations managers, supply chain planners, and budgeting teams within pharmaceutical and biotech companies conducting global clinical trials.
Features
- Seamless RTSM integration for automatic data ingestion and up‑to‑date trial parameters
- AI‑powered forecasting engine that optimizes release plans while respecting manufacturing and logistical constraints
- Interactive dashboard with scenario modeling, cost impact analysis, and inventory heat maps
- Flexible cost management tools that enable real‑time budget adjustments and site‑level stocking recommendations
- Exportable reports and API endpoints for downstream ERP or supply chain systems