护眼贴在拼多多平台上的销量预测数据

本数据聚焦于预测护眼贴在拼多多平台上的销量，为公司（作为生产商和销售商）及外部相关方提供了重要的决策依据，具有显著的应用价值。具体体现在以下方面：
1.优化生产与库存管理：对公司而言，通过预测护眼贴在拼多多平台上的销量，可以科学制定生产计划，合理调配原材料和库存，避免产能过剩或供应不足，提高生产效率和市场响应速度。同时，也有助于提前布局市场，制定针对性的促销策略，抢占市场份额，提升销售业绩。
2.支持平台运营决策：对拼多多平台而言，基于销量预测数据，可以更精准地规划流量分配和资源位投放，降低运营风险，优化平台效率，提升商家和消费者满意度。
3.辅助产品研发与市场调研：对于同行而言，本数据可帮助分析市场需求趋势，优化产品功能或调整包装设计，以更贴合消费者偏好。同时，本数据可用于竞品分析，对比同类产品的销售表现，从而制定差异化的市场策略。1.数据采集：
采集护眼贴在拼多多平台的销售数据，包括商品编号、店铺编号、商品名称、销售日期、销售数量、销售金额。
2.数据预处理：
对采集的数据进行清洗，去除重复记录，处理缺失值。
3.数据加工与分析：
（1）计算历史销量：对于护眼贴，使用SUMIFS函数对销售数量进行累加，分别计算出其过去365天、90天和30天的总销量。（2）建立销量预测模型：护眼贴的未来30天销量预测值=[(过去365天总销量÷365a)+(过去90天的总销量÷90b)+(过去30天的总销量÷30×c)]30k；其中，系数a=0.5，b=0.3，c=0.2，调整因子k=1.05。系数a、b、c反映数值对未来30天销量预测的影响程度，由于算法更注重长期销售趋势的影响，因此a被赋予了最高的权重。k是基于护眼贴在拼多多平台的市场增长预期给出的修正值。

This dataset focuses on predicting the sales volume of eye protection patches on the Pinduoduo platform, providing important decision-making basis for the company (as both manufacturer and seller) and external stakeholders, with significant application value. This is specifically reflected in the following aspects:
1. Optimizing Production and Inventory Management: For the company, predicting the sales volume of eye protection patches on Pinduoduo enables scientific production planning, rational allocation of raw materials and inventory, avoiding overproduction or supply shortages, improving production efficiency and market response speed. Additionally, it helps to lay out the market in advance, formulate targeted promotional strategies, seize market share and enhance sales performance.
2. Supporting Platform Operation Decision-Making: For the Pinduoduo platform, based on sales volume prediction data, it can more accurately plan traffic allocation and resource slot placement, reduce operational risks, optimize platform efficiency, and improve satisfaction of merchants and consumers.
3. Assisting Product R&D and Market Research: For peers, this dataset can help analyze market demand trends, optimize product functions or adjust packaging design to better align with consumer preferences. Meanwhile, it can be used for competitive product analysis, comparing sales performance of similar products to formulate differentiated market strategies.

1. Data Collection:
Collect sales data of eye protection patches on the Pinduoduo platform, including product ID, shop ID, product name, sales date, sales quantity and sales amount.
2. Data Preprocessing:
Clean the collected data, remove duplicate records and handle missing values.
3. Data Processing and Analysis:
(1) Calculate historical sales volume: For eye protection patches, use the SUMIFS function to accumulate sales quantity, and calculate the total sales volume over the past 365 days, 90 days and 30 days respectively.
(2) Establish a sales volume prediction model: The 30-day future sales volume prediction value of eye protection patches = [(Total sales volume over the past 365 days ÷ 365 × a) + (Total sales volume over the past 90 days ÷ 90 × b) + (Total sales volume over the past 30 days ÷ 30 × c)] × 30 × k; where the coefficients a=0.5, b=0.3, c=0.2, and the adjustment factor k=1.05. The coefficients a, b and c reflect the degree of influence of the values on the 30-day future sales volume prediction. Since the algorithm pays more attention to the impact of long-term sales trends, a is given the highest weight. k is a correction value based on the market growth expectation of eye protection patches on the Pinduoduo platform.

搜集汇总

背景与挑战

背景概述

该数据集包含护眼贴在拼多多平台的销售数据，共686条记录，每日更新，用于预测未来30天销量。数据包括历史销量统计和基于加权算法的预测值，主要应用于企业生产优化、平台运营决策和市场分析。