Executive summary
An evidence pack for cold chain programs: document every assumption behind the loss-reduction business case, score its confidence, and plan the research that closes the gaps.
What is inside
What the research pack covers
The asset takes the loss and traceability baseline from the diagnostic stage and walks the business case team through separating observations from hypotheses, registering every assumption with an owner and confidence score, logging and dating every source, stating benefit hypotheses as ranges, and prioritizing the research questions that must be answered before options are appraised.
- Scope: converting a measured cold chain loss and traceability baseline into a decision-grade assumption base
- Demand, cost, benefit and uncertainty assumptions, each with a named owner
- Evidence quality rules, source dating standards and what counts as proof
- Benefit hypotheses stated as ranges with counting rules, never single points
- Research questions: how the weakest high-impact assumptions are found and tested
- Regulatory context for food traceability records and recall response
- A worked synthetic distributor example and a failure case