  We present an interactive probing tool to create, modify and analyze what-if
scenarios for multivariate time series models. The solution is applied to
freight trading, where analysts can carry out sensitivity analysis on freight
rates by changing demand and supply-related econometric variables and observing
their resultant effects on freight indexes. We utilize various visualization
techniques to enable intuitive scenario creation, alteration, and comprehension
of time series inputs and model predictions. Our tool proved to be useful to
the industry practitioners, demonstrated by a case study where freight traders
are given hypothetical market scenarios and successfully generated quantitative
freight index projection with confidence.
