SKU demand forecasting in the presence of promotions

Promotions and shorter life cycles make grocery sales forecasting more difficult, requiring more complicated models. We identify methods of increasing complexity and data preparation cost yielding increasing improvements in forecasting accuracy, by varying the forecasting technique, the input features and model scope on an extensive SKU-store level sales and promotion time series from a European grocery retailer. At the high end of data and technique complexity, we propose using regression trees with explicit features constructed from sales and promotion time series of the focal and related SKU-store combinations. We observe that data pooling almost always improves model performance. The results indicate that simple time series techniques perform very well for periods without promotions. However, for periods with promotions, regression trees with explicit features improve accuracy substantially. More sophisticated input is only beneficial when advanced techniques are used. We believe that our approach and findings shed light into certain questions that arise while building a grocery sales forecasting system.     

道路路面技术改进措施及提级改造

本文以近年来在道路水泥砼路面改造上的实际工程案例为依据,着重探讨典型水泥砼路面结构的优缺点及改进措施、水泥砼路面施工工艺与控制以及水泥砼路面提级改造方面的最新技术这三方面的课题,最后对未来道路路面设计建设的发展方向进行了较全面的分析总结。     

考虑赠品促销影响的供应链协调模型研究

在考虑赠品促销对市场需求具有影响效应的前提下,构建了市场需求预测与赠品相关的供应链协调模型,证明了该模型能使供应链渠道得到有效协调;并建立了这类契约的最优决策模型,得出最优解存在的条件以及最优解的表达式;然后分析了模型中相关参数的变化对最优决策变量及供应链利润的影响。     

商品终端促销设计实践的教学体验探索

实践教学以真实的市场品牌产品为实践项目,让学生从蜗居的设计后台走向市场前台。通过详细的市场调查、专家讲座、活动策划、提案演示等多种教学实践手段,以多角色职能的转换体验,让学生认识调研策划的重要及对后期设计的影响和作用,增进学生对市场品牌及产品营销知识的学习理解,达到与市场深度的交流接触的教学目的和体验探索。     

Decision tree models for profiling ski resorts’ promotional and advertising strategies and the impact on sales

Based on survey data, this paper builds decision tree models to profile the online and mobile technologies and services that ski resorts use for their promotional and advertising strategies for two important segments, namely millennials (less than and equal to 35) and non-millennials (greater than 35). The technologies and services include resort websites, microblogging services, and online coupon services. The decision tree models reveal that ski resorts use specific strategies for these segments. Also, the paper reveals the impact that the technologies and services have on resort sales. The impact is positive and both immediate and sustained in nature. The research is the first of its type in the ski industry and represents a novel use of decision tree models for profiling promotional and advertising strategies.