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.

Inactive Publication Date: 2011-10-12
DEMAND DRIVEN INFORMATION TECH
View PDF0 Cites 29 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] (1) The design of the forecasting module is too technically oriented, which requires high statistical technology for users and is difficult to promote;
[0010] (2) The user interface is complex and lacks the support of the application process, making it difficult to adapt to practical applications
[0011] (3) Lack of classified forecasting technology and period rolling technology, it is difficult to support refined and diversified actual forecasting needs
[0013] (5) The system configuration is complex and the implementation cost is high, which also provides a threshold for system application
There is not only no professional forecasting software in China, nor even a professional forecasting research association, forecasting is in its infancy both in theory and in practice

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Sales forecasting system and method
  • Sales forecasting system and method
  • Sales forecasting system and method

Examples

Experimental program
Comparison scheme
Effect test

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.

[...

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a sales forecasting system and method, wherein the system comprises a classification module, a history correction module, a statistics forecasting module, a disassembling module and a period rolling module. The sales forecasting system helps enterprises to promote scientifically forecasting and finely forecasting capabilities by building a rolling standard forecasting system based on the historical data, data warehouse technology, statistical technology, classification forecasting technology, disassembling technology and period rolling technology.

Description

technical field [0001] The invention belongs to the technical field of data processing, and relates to a data analysis system, in particular to a sales forecasting system; meanwhile, the invention also relates to a sales forecasting method. Background technique [0002] Sales forecasting is an important basis for enterprise management decision-making, the starting point for enterprise supply chain operation and optimization, and the only effective way for enterprises to increase sales revenue and reduce costs at the same time. It plays a decisive role in the entire management of enterprises. At present, in China, no matter consumer product manufacturers, industrial product manufacturers, or companies engaged in retail and distribution, the pain points and needs in sales forecasting are very urgent. However, most companies currently lack effective means and platforms in sales forecast management. It is basically maintained by EXCEL plus manual methods, although advanced ERP s...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/00G06Q10/00
Inventor 赵玲
Owner DEMAND DRIVEN INFORMATION TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products