DEMAND FORECASTING TO ASSESS THE PROBABLE DEMAND OF A FIRM’S PRODUCT. PLAN IT’S FUTURE PRODUCTION ACCORDINGLY. BETTER PLANNING & ALLOCATION OF RESOURCES. FORECASTING   PREDICTION  ESTIMATION  DEMAND FORECASTING PREDICTS ABOUT FUTURE TRENDS OF A SALES OF A PRODUCT WHEREAS DEMAND ESTIMATION  TRIES TO FIND OUT EXPECTED PRESENT SALES LEVEL GIVEN THE PRESENT STATE OF DEMAND DETERMINANTS.
CHARACTERISTIC OF GOOD FORECASTING METHODS: TIME HORIZON LEVEL OF DETAIL STABILITY PATTERENS OF DATA TYPE OF MODEL COST ACCURACY EASE OF APPLICATION
DEMAND FORECASTING : SHORT RUN FORECASTING HELPS IN  ; PREPARING  SUITABLE SALES POLICY  &  PROPER SCHEDULING OF OUTPUT. AVOIDING  OVER-STOCKING  OR  COSTLY DELAYS  IN MEETING THE ORDERS. ARRIVING AT  SUITABLE PRICE  FOR THE PRODUCT. DECIDING ABOUT  NECESSARY MODIFICATIONS  IN ADVERTISING & SALES TECHNIQUES. LONG RUN FORECASTING HELPS IN  ; PROPER CAPITAL PLANNING. SAVING THE WESTAGE IN MATERIAL, MACHINE TIME, & CAPASITY.
SCOPE OF FORECASTING *  PERIOD OF FORECASTING :   –  SHORT TERM, MEDIUM TERM, LONG TERM *  LEVEL OF FORECASTING :   –  MACRO-ECNOMIC FORECASTING.   –  INDUSTRY DD FORECASTING.   –  FIRM DD FORECASTING.   –  PRODUCT-LINE FORECASTING.
*  FORECASTING FOR A NEW PRODUCT OR AN ESTABLISHED PRODUCT *  TYPE OF PRODUCT FOR WHICH FORECAST IS REQUIRED - –  CONSUMER DURABLE.   –  CONSUMER NON-DURABLE.   –  CAPITAL GOODS.
STEPS IN DEMAND FORECASTING *  IDENTIFICATION OF OBJECT  : THE APPROACH TO FORECASTING WOULD DIFFER FROM OBEJCT TO OBJECT. OBJECTS ARE ; ESTIMATION OF QUANTITY & COMPOSITION OF DEMAND. ESTIMATION OF THE PRICE AT WHICH PRODUCT IS TO OFFER FOR SALE. SALES PLANNING. INVENTORY CONTROL.
*  DETERMINATION OF NATURE OF GOODS UNDER  CONSIDERATIONS : CAPITAL GOODS. CONSUMER DURABLES. CONSUMER NON-DURABLES.   *   DETERMINANTS OF DEMAND *  ANALYSIS OF FACTORS  *  CHOICE OF METHOD *  TESTING ACCURACY
FORECASTING METHODS SURVEY METHODS  STATISTICAL METHODS CONSUMER  COLLECTIVE  REASONED  MARKET SURVEY  OPINION  OPINION  EXPERIMENTS TIME SERIES ANALYSIS  REGRESSIONANALYSIS GRAPHICAL  SEMI AVERAGE  MOVING AVERAGE  LEAST SQUARES METHOD  METHOD  METHOD  METHOD

Demand forecasting

  • 1.
    DEMAND FORECASTING TOASSESS THE PROBABLE DEMAND OF A FIRM’S PRODUCT. PLAN IT’S FUTURE PRODUCTION ACCORDINGLY. BETTER PLANNING & ALLOCATION OF RESOURCES. FORECASTING PREDICTION ESTIMATION DEMAND FORECASTING PREDICTS ABOUT FUTURE TRENDS OF A SALES OF A PRODUCT WHEREAS DEMAND ESTIMATION TRIES TO FIND OUT EXPECTED PRESENT SALES LEVEL GIVEN THE PRESENT STATE OF DEMAND DETERMINANTS.
  • 2.
    CHARACTERISTIC OF GOODFORECASTING METHODS: TIME HORIZON LEVEL OF DETAIL STABILITY PATTERENS OF DATA TYPE OF MODEL COST ACCURACY EASE OF APPLICATION
  • 3.
    DEMAND FORECASTING :SHORT RUN FORECASTING HELPS IN ; PREPARING SUITABLE SALES POLICY & PROPER SCHEDULING OF OUTPUT. AVOIDING OVER-STOCKING OR COSTLY DELAYS IN MEETING THE ORDERS. ARRIVING AT SUITABLE PRICE FOR THE PRODUCT. DECIDING ABOUT NECESSARY MODIFICATIONS IN ADVERTISING & SALES TECHNIQUES. LONG RUN FORECASTING HELPS IN ; PROPER CAPITAL PLANNING. SAVING THE WESTAGE IN MATERIAL, MACHINE TIME, & CAPASITY.
  • 4.
    SCOPE OF FORECASTING* PERIOD OF FORECASTING : – SHORT TERM, MEDIUM TERM, LONG TERM * LEVEL OF FORECASTING : – MACRO-ECNOMIC FORECASTING. – INDUSTRY DD FORECASTING. – FIRM DD FORECASTING. – PRODUCT-LINE FORECASTING.
  • 5.
    * FORECASTINGFOR A NEW PRODUCT OR AN ESTABLISHED PRODUCT * TYPE OF PRODUCT FOR WHICH FORECAST IS REQUIRED - – CONSUMER DURABLE. – CONSUMER NON-DURABLE. – CAPITAL GOODS.
  • 6.
    STEPS IN DEMANDFORECASTING * IDENTIFICATION OF OBJECT : THE APPROACH TO FORECASTING WOULD DIFFER FROM OBEJCT TO OBJECT. OBJECTS ARE ; ESTIMATION OF QUANTITY & COMPOSITION OF DEMAND. ESTIMATION OF THE PRICE AT WHICH PRODUCT IS TO OFFER FOR SALE. SALES PLANNING. INVENTORY CONTROL.
  • 7.
    * DETERMINATIONOF NATURE OF GOODS UNDER CONSIDERATIONS : CAPITAL GOODS. CONSUMER DURABLES. CONSUMER NON-DURABLES. * DETERMINANTS OF DEMAND * ANALYSIS OF FACTORS * CHOICE OF METHOD * TESTING ACCURACY
  • 8.
    FORECASTING METHODS SURVEYMETHODS STATISTICAL METHODS CONSUMER COLLECTIVE REASONED MARKET SURVEY OPINION OPINION EXPERIMENTS TIME SERIES ANALYSIS REGRESSIONANALYSIS GRAPHICAL SEMI AVERAGE MOVING AVERAGE LEAST SQUARES METHOD METHOD METHOD METHOD