宁波市耳道式助听器需求分析数据

通过统计宁波市在分析时间前12个月耳道式助听器（ITC）的历史订单量，对历史订单量进行分析得到预测模型，根据预测模型来预测宁波市未来对耳道式助听器（ITC）的需求；通过该数据可以指导企业根据宁波市未来的需求来调整耳道式助听器（ITC）在该地区的库存以及后续营销策略，对资源调控实现精细化管理，避免产生资源浪费等情况。另外，对制造商/品牌商而言，通过该数据可以实现精准生产与供应链优化，指导企业实现提前布仓以及存货监控等，对于经销商/零售商而言，该数据也可以辅助判断市场景气度，同时指导库存周转，避免在该地区的货物囤积。1.数据来源：采集了宁波市惠耳听力公司在分析时间前12个月的耳道式助听器（ITC）销售数据，包括商品类型、来源单据号、数量（负数表示退货退款）、收费时间等。2.数据处理：A.按分析时间分时间段统计过去12个月需求数量、过去9个月需求数量、过去6个月需求数量、过去3个月需求数量、过去1个月需求数量（统计时仅计算该段时间内的正常销售数量，已排除退货退款数量）；B.根据以上数据分别计算各时间段内的单月平均需求量；以过去12个月需求数量计算的单月平均需求量为单位，计算各时间段内的单月平均需求量与其的比值；按比例调整总值为1，计算最终各时间段所得系数K；C.在该数据中，预测模型为：未来1个月需求数量=过去12个月需求数量/12*K1+过去9个月需求数量/9*K2+过去6个月需求数量/6*K3+过去3个月需求数量/3*K4+过去1个月需求数量/1*K5（最终计算得到的数值四舍五入后取整数）；D.该预测模型能够兼顾年度的长期趋势以及地域的消费差异，实现对该品类产品在该地区未来需求的精准预测。

By statistically analyzing the historical order volume of in-the-canal hearing aids (ITC) in Ningbo over the 12 months prior to the analysis date, a demand prediction model is established. This model is used to forecast the future demand for ITC in Ningbo. The dataset can guide enterprises to adjust the inventory and subsequent marketing strategies of ITC in this region based on the projected future demand, realizing refined resource regulation and management and avoiding resource waste. For manufacturers or brand owners, the dataset enables precise production and supply chain optimization, helping enterprises pre-position warehouses and monitor inventory. For distributors or retailers, the dataset can assist in evaluating market prosperity, guiding inventory turnover, and avoiding goods stockpiling in this area.

1. Data Source: Sales data of ITC from Ningbo Hui'er Hearing Co., Ltd. over the 12 months prior to the analysis date were collected, including product type, source document number, quantity (negative values indicate returns and refunds), and transaction time, etc.

2. Data Processing:
A. Statistical demand quantities by time periods: The total demand quantities over the past 12 months, 9 months, 6 months, 3 months, and 1 month were counted respectively. Only normal sales quantities within the corresponding time period were included, and return and refund quantities were excluded.
B. Coefficient calculation: The monthly average demand for each time period was calculated based on the above data. Taking the monthly average demand derived from the 12-month historical demand as the reference baseline, the ratio of the monthly average demand of each time period to this baseline was computed. The final coefficients K for each time period were obtained by normalizing the total ratio to 1.
C. Prediction model: The future 1-month demand quantity is calculated as:
Future 1-month demand = (12-month historical demand / 12) * K1 + (9-month historical demand / 9) * K2 + (6-month historical demand / 6) * K3 + (3-month historical demand / 3) * K4 + (1-month historical demand / 1) * K5
The final calculated value is rounded to the nearest integer.
D. Model advantage: This prediction model balances long-term annual trends and regional consumption differences, achieving accurate forecasting of the future demand for this product category in this region.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于宁波市耳道式助听器（ITC）的需求分析，包含2287条企业数据，记录了历史销售订单、退货情况以及基于过去12个月数据计算的各时间段需求系数。通过加权预测模型，数据集能预测未来1个月的需求数量，旨在帮助企业优化库存管理、调整营销策略并实现供应链精细化，适用于批发零售行业的资源调控和市场决策。