Abstract: Traditional claims reserve approaches are all based on aggregated data and usually produce inaccurate projections of the reserve because the aggregated data make a great loss of information contained in individual claims. Thus, the researcher in actuarial science developed the so-called individual claim models that are based on marked Poisson processes. However, due to the inappropriateness of Poisson distribution in modelling the claims distributions, the present paper propose marked Cox processes as reserve models. Compared with the aggregate claims models, the models proposed in the current paper take more sufficient use of information contained in data and can be expected to produce more accurate evaluations in claim loss reserving.