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A Dynamic Inventory Forecasting Method for Equipment Leasing

A technology of inventory forecasting and inventory, applied in the field of forecasting, can solve problems such as low statistical efficiency, lack of reference value in analysis reports, and poor real-time performance, so as to ensure accuracy and real-time performance, save manpower, and reduce order loss.

Active Publication Date: 2022-05-03
众能联合数字技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But this method has obvious disadvantages, the offline statistical efficiency is relatively low, and the real-time performance is relatively poor
There is a situation where the analysis report has just been made, and the impact factors have undergone major changes, so that the analysis report does not have reference value

Method used

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  • A Dynamic Inventory Forecasting Method for Equipment Leasing
  • A Dynamic Inventory Forecasting Method for Equipment Leasing
  • A Dynamic Inventory Forecasting Method for Equipment Leasing

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0041] Embodiment 1: see figure 1 , a dynamic inventory forecasting method for equipment leasing, said method comprising the following steps:

[0042] Step 1. Real-time collection of all factors affecting inventory in the system, including but not limited to intention data, order data, various service orders, inventory data, on-lease data, etc.;

[0043] Step 2, by using the existing technology Apache Flink plus Spark SQL technology to calculate and analyze the impact factors in real time, get the work orders that will be generated in the future time period and the work order completion cycle calculated based on the manpower model of the service personnel, and calculate all the factors according to The start and end time is allocated to a specific future day;

[0044] Step 3, based on the current known inventory data and the impact factor of the day, roll over the inventory data for the next year, and push the calculated data to ElasticSearch for users to query;

[0045] Ste...

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Abstract

The present invention relates to a dynamic inventory forecasting method for equipment leasing. The method includes the following steps: Step 1, collect all influencing factors affecting inventory in the system in real time, including not limited to intention data, order data, and various service orders , inventory data, rental data, etc.; step 2, calculate and analyze the impact factor in real time by using the existing technology Apache Flink plus Spark SQL technology; step 3, add the impact factor of the day based on the currently known inventory data , to calculate the inventory data for the next year, and the calculated data is pushed to ElasticSearch for users to query; Step 4, analysts query the latest inventory forecast data to generate allocation and replenishment plans; Step 5, recycle to Step 1, Real-time calibration ensures timely and accurate future inventory. Based on the powerful data processing and analysis capabilities of big data, this solution can predict the real-time inventory situation of each site every day in the next year in real time.

Description

technical field [0001] The invention relates to a forecasting method, in particular to a dynamic inventory forecasting method for equipment leasing, to a method for predicting future real-time inventory through big data technology, and belongs to the technical field of real-time inventory in the leasing industry. Background technique [0002] In the leasing industry, due to various uncertainties such as customer demand, leasing cycle, and service capabilities of different sites, the future inventory balance is unknown, so sales staff can only determine whether they can supply the leasing demand for the last 1-3 days However, sales staff cannot make commitments for leasing needs beyond this time period. Similarly, the system cannot determine whether the supply can be guaranteed when booking online. [0003] Backstage analysts can only analyze the inventory situation of each site in the future by regularly collecting the latest customer demand information of front-line sales s...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/08G06Q30/06
CPCG06Q10/087G06Q30/0645
Inventor 王建辉唐玉香王艺张志远端祥张军李苏波蒋创事
Owner 众能联合数字技术有限公司
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