From early-stage feasibility planning through study completion, informing supply chain decisions has never been easier. 4C uses Natural Language Processing (NLP) to turn study parameters from plain English into detailed forecasts, giving you full transparency and complete control of supply decisions.
4C brings simplicity and speed without the error prone processes of Excel or the need for external SMEs required by existing commercial tools.
Model, forecast and verify D&SP in minutes
Build and verify inputs, run the forecast, and verify the demand and supply plan (D&SP) in less than one business day. Dynamically adapt to new information, re-forecast and assess the impact on the D&SP, in moments.
Leverage Natural Language Processing (NLP) to turn plain English into dynamic supply models
NLP uses plain English, eliminating the risk from human error from Excel and the lack of understanding from complicated commercial planning tools.
Assess real-time impacts of supply decisions
Easily compare scenarios and assess impacts in real-time. Verify outcomes based on inputs into the system and leverage powerful visualizations to answer questions and inform key business decisions for clinical operations and manufacturing teams.
Inform supply decisions throughout the study lifecycle
Enable supply decisions from early-stage feasibility planning, 1-3 years ahead of study start, all way through to study completion.
Enable real-time actuals and visibility across the entire supply chain
Frequent uploads of study actuals enable the CSP to adjust supply plans with up-to-date information, increasing the plan accuracy and providing visibility to the entire supply chain. Actuals are easily compared to input assumptions and notify CSPs of significant deviations to investigate and adjust inputs when needed.
Clinical Supply Planning Optimization
Addressing Gaps in People, Process and Technology to Drive Supply Chain Efficiencies
Faster Study Start-Up
How Natural Language Processing (NLP) is a Game Changer in Clinical Research
Investigator Sponsored Trials (IST) Supply Chain Optimization
Leveraging RTSM/IRT Systems to Avoid Wasted Supply, Enable Drug Pooling and Accurately Project Demand