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Abstract
With more and more retailers pushing Vendor Managed
Inventory, the onus of forecasting and allocation of
entertainment titles now lies with content producers
i.e. studios. The nature of inventory makes it difficult
to apply standard forecasting and allocation models
on entertainment titles. This paper provides a scientific
approach towards analyzing and quantifying the cause
and effect relationship of various “soft”
attributes with title sales. The effort is to find titles
similar to the new release and use their historic sales
data with the correct weighted averages in order to
arrive at a projected allocation figure. With proper
calibrations, the approach will reduce the instances
of unmet demand while keeping inventory levels optimum.
Author
Ashish Chawla,
Vikash Poddar
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