Sales forecasting system and method
A forecasting system and predictor technology, applied in the field of data processing, can solve problems such as difficult to support, high statistical technical requirements, no forecasting software, etc.
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Embodiment 1
[0080] The present invention discloses a sales forecasting system, which helps enterprises improve scientific forecasting and refinement by establishing a rolling benchmark forecasting system based on historical data, data warehouse technology, statistical technology, classification forecasting technology, decomposition technology and period rolling technology. ability to predict.
[0081] see figure 1 , the system includes a classification module 1, a history correction module 2, a statistical prediction module 3, a decomposition module 4, and a period rolling module 5.
[0082] 【Classification module】
[0083] The classification module 1 is used to classify the products to be predicted through the setting of key prediction indicators, so as to configure personalized and refined prediction strategies according to their unique attributes and needs; the classification module includes basic parameter setting units, Forecast range setting unit, forecast model setting unit.
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Embodiment 2
[0168] see figure 2 , in this embodiment, the sales forecasting method of the sales forecasting system described in the first embodiment includes the following steps:
[0169] Step 0, the rolling benchmark forecast starts to prepare;
[0170] Step 1. Maintain forecast-related master data views, including products, sales organizations, business data, and forecast models;
[0171] Step 2, cleaning and importing historical data;
[0172]Step 3. Determine whether manual correction of historical data is required; if so, go to step 4, otherwise go to step 5;
[0173] Step 4. Manual correction of historical data; the manual correction step provides users with a platform for manual correction based on experience and judgment. Users make corrections based on different levels and can record correction instructions; if the data correction is at a non-detailed level, the system will The proportion of historical data in the same period and the product organization structure are automat...
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