The ability to forecast market share remains a challenge for many managers especially in dynamic markets, such as the telecommunications sector. In order to accommodate the unique dynamic characteristics of the telecommunications market, we use a multi-component model, called MSHARE. Our method involves a two-phase process. The first phase consists of three components: a projection method, a ri...

The objective of this project is to forecast sales in euros at 1115 stores owned by Rossmann, a European pharmaceutical company. The input to our algorithm is a feature vector (discussed in section 3) of a single day of data for that store. We tried using a number of algorithms, but mainly gradient boosting, to output the predicted total sales in euros for the given store that day. Rossmann pro...

An accurate short-term forecast of product sales is vital for the smooth operation of modern supply chains, especially where the manufacture of complex products is outsourced internationally. As a vendor of enterprise computing products whose business model has long emphasized extensive outsourcing, Sun Microsystems Inc. has a keen interest in the accuracy of its product sales forecasts. Histor...

This research aims to find the most significant selling potential of hydroponic plants. study compared three types plants: kale, spinach and Pak Choy. The sales plants were using several methods, namely Naive, Moving Average, Single Exponential Smoothing, Decomposition Additive. Water Choy got highest forecast decomposition-additive forecasting method, while used single exponential smoothing. p...

For the successful business, several factors are considered and prediction is made for sales of product. Here, proposed to forecast Rossamann stores using machine learning algorithms. Sales forecasting done by analyzing customer purchasing behaviour it plays an important role in modern business intelligence. Forecasting future demand key planning activities. helps organizations make improvement...

Provides a systematic analysis of foreign experience (Argentina, Brazil, Russian Federation, USA, countries EU) to assess and forecast the fac­tors balanced development agroindustrial production. Different types agribusiness models are systematized, depending on specialization providing strengthening vertical integration, integration marketing logistics concepts, expansion product sales channels.

62 Optimal Transportation and Spatial Integration of Regional Palm Oil Markets in Nigeria L.O.E. Nwauwa, Department of Agricultural Economics, Faculty of Agriculture, University of Ibadan, Ibadan, Nigeria K.O. Adenegan, Department of Agricultural Economics, Faculty of Agriculture, University of Ibadan, Ibadan, Nigeria M.A.Y. Rahji, Department of Agricultural Economics, Faculty of Agriculture, U...

To reduce their stocks and to limit ruptures, textile companies must improve their supply chain management. This organization requires sales forecasting systems adapted to the uncertain environment of the textile field. The uncertainty is characterized by noisy data, short historic and numerous explanatory variables that influence the sales behavior. This paper deals with new forecasting models...

Sales success is seen from the sales strategy. As an entrepreneur in field of sales, you must be able to take decisive steps maximizing benefits. The demand for item unpredictable, so intuition and experience alone are not enough determine inventory each sold. If only rely on experience, all items sold, it will cause waste losses, but if turnover goods fast time, affect financial store. applica...