Method for stock keeping, computer system and computer program

A computer system, comprising:

• a computing unit operable to determine forecast values of quantities to be consumed of a given stock keeping unit for at least two different forecast time spans depending on a historical consumption data;
• a computing unit operable to determine order values of order quantities for each said forecast value depending on a respective forecast value, stock keeping costs and ordering costs;
• a computing unit operable to determine an associated order quantity time span for each said order value;
• a computing unit operable to determine a respective pair of said forecast value and said order value with least deviation between said forecast value and said order value forecast time span and order quantity time span
• from said forecast values and said forcast values respectively associated forecast time span and from said order values and said order values respectively associated order quantity time spans;
• and
• a computing unit operable to process said determined forecast value and said determined order value.

A computer program product comprising a computer useable medium including a computer readable program, wherein said computer readable program when executed on a computer causes the computer to perform the method steps for stock keeping. The method comprising the steps of:

• determining forecast values of quantities to be consumed of a given stock keeping unit for at least two different forecast time spans depending on a historical consumption data;
• determining order values of order quantities for each said forecast value depending on a respective forecast value, stock keeping costs and ordering costs;
• determining an associated order quantity time span for each said order value;
• determining a respective pair of said forecast value and said order value with least deviation between said forecast time span and said order quantity time span from said forecast values and said forcast values respective forecast time spans and from said order values and said order values respectively associated said order quantity time spans;
• and
• processing said determined pair of said forecast value and said determined order value.