Thalasar Ventures

Avatar sold a total of about 8 million DVDs in North America by July 25th, about 10 weeks after its release, out of
which 3.2 million copies were sold on the opening day and 6.3 million copies were sold by the week of May 9th.
Alice in Wonderland sold a total of about 3.7 million DVDs in North America by the week of July 25th, about 8 weeks
after its release, out of which 2 million copies were sold in the first week.
Therefore, it is critical to maximize revenues during the first few weeks of a release. In the past, production houses have
not responded, in a scientific way, to this challenge. However, that trend is rapidly changing. Marketers in production
houses are now turning to analytics to address this challenge.
The WNS Retail Inventory Planning solution accomplishes revenue maximization by:
Efficient Store Allocation: It helps the Inventory manager determine the number of DVDs to allocate to each store of a
retail chain. The right store allocation also helps in minimizing costs of re-shipments and returns, or lost sales due to under
or over supply.
Accurate Out-of-Stock Prediction: It helps the Inventory manager identify stores that are likely to go out-of-stock and,
therefore, are in need of replenishment. WNS’ solutions analyze street-date sales patterns at different stores to develop
these critical reports.
Benefits delivered by the WNS Retail Inventory Planning solution include:

Accuracy in predicting demand at store-level: This best-in-class model, which was used by our clients, delivered 20
percent higher forecast accuracy for most releases during the past year resulting in approximately USD 2-3 million
savings on recovered sales opportunities and diminished stock-outs.
Timely listing of stores with higher out-of-stock risk: This best-in-class tool increased the efficiency of inventory
management for our clients by facilitating quick and timely replenishment, thereby reducing the number of stock-outs.
WNS Retail Inventory Planning solutions equip the inventory manager with timeliness and accuracy in revenue-
maximizing decisions.