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.

Authors Ashish Chawla Vikash Poddar

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