基于企业销售供应链数据的产品需求预测

基于销售订单、销售出库、新产品清单等数据，根据客户分类规则进行客户打标签，采用平滑指数法自动计算结合人机互交相确认的方式，进行VIP客户需求预测、专项工程需求预测、新产品需求预测、通用产品需求预测等，形成企业产品需求预测数据。
通过基于数据的产品需求预测应用，提高产品需求预测的准确性，为编制生产计划、采购计划、备料计划提供依据，促进企业产销平衡，提高企业生产效率和合同履约率

Based on data such as sales orders, sales deliveries, and new product lists, customer labeling is conducted in accordance with customer classification rules. By adopting the approach that combines automatic calculation via the exponential smoothing method with human-computer interaction confirmation, demand forecasting is carried out for multiple scenarios including VIP customers, special projects, new products, and general products, thus forming enterprise product demand forecasting data.
Through data-driven product demand forecasting applications, the accuracy of product demand forecasting is enhanced, providing a reliable basis for formulating production plans, procurement plans, and material preparation plans. This helps enterprises achieve a balance between production and sales, and improves their production efficiency and contract fulfillment rate.

搜集汇总

背景与挑战

背景概述

该数据集利用企业销售供应链数据，通过平滑指数法和客户分类规则进行产品需求预测，旨在提高预测准确性，支持生产计划和采购计划的制定。数据集属于人工智能和企业服务领域，适用于需要优化供应链管理和提高生产效率的企业。