Retail Shop Sales Forecast by Enhanced Feature Extraction with Association Rule Learning

Sales is a basic standpoint for business growth. Demand for consumer products decides the success rate of every business resulting in a profit. Proper analysis of the consumer interest in a particular product decides future sales. The ordinary tactics for sales and promotion objectives no longer help businesses keep up with the speed of a challenging market because it goes out with no knowledge of consumer buying habits. As a consequence of technological developments, significant changes can be seen in the domains of marketing and selling. As a result of such developments, multiple important factors such as consumers' buying habits, target people, and forecasting sales for the coming years can be readily determined, assisting the sales crew in developing strategies to achieve an upsurge in their company. This paper investigates the use of Association Rule Learning with Feature Extraction to forecast sales performance in order to recognise buyers. The consumer's related goods are identified using the association framework. Data on buying activities are derived from purchase invoices provided by the business. The outcome of both is utilized to create a company strategy. Support, Confidence, and Lift are the metrics used for evaluating the quality of association rules produced by the model. Based on the buyers’ preferences this paper forecasts retail shop sales and predicts the association relation between the products by feature extraction with Association rule learning to improve future sales. The suggested approach is employed to discover the most common pairings of items found in the business. This will assist with promotion and revenue. This method can help you find intriguing cross-selling and connected goods. The WEKA tool was used to evaluate the correctness of the Association rule that was created

Towards a Post-Structural View of Competition: Three Cases of Horizontal Merger

We examine the question of adaptive firm conduct using longitudinal product-level data from three large horizontal mergers in the food manufacturing industry. Our model is grounded in a poststructural view of competition that we deduce from recent writings from the fields of strategy, organizational ecology, and industrial organization. Consistent with this model, we find that the influence of horizontal merger on product performance (i.e., rent) varies with the product niche, time, the specific firms that merged, and dominance of the product, and its market scope.Industrial Organization,

VI Workshop on Computational Data Analysis and Numerical Methods: Book of Abstracts

The VI Workshop on Computational Data Analysis and Numerical Methods (WCDANM) is going to be held on June 27-29, 2019, in the Department of Mathematics of the University of Beira Interior (UBI), Covilhã, Portugal and it is a unique opportunity to disseminate scientific research related to the areas of Mathematics in general, with particular relevance to the areas of Computational Data Analysis and Numerical Methods in theoretical and/or practical field, using new techniques, giving especial emphasis to applications in Medicine, Biology, Biotechnology, Engineering, Industry, Environmental Sciences, Finance, Insurance, Management and Administration. The meeting will provide a forum for discussion and debate of ideas with interest to the scientific community in general. With this meeting new scientific collaborations among colleagues, namely new collaborations in Masters and PhD projects are expected. The event is open to the entire scientific community (with or without communication/poster)

Assessing Mondragon: Stability & Managed Change in the Face of Globalization

By drawing on new interview evidence gathered during several field trips and new financial and economic data from both external and internal sources, we document and assess the changing economic importance and performance of the Mondragon group of cooperatives as well as the two largest sectors within the group. Compared to conventional firms in the Basque Country and Spain, and producer co-ops (PCs) and employee owned firms elsewhere, in general we find evidence of growing group importance and strong performance and a similarly strong record for the industrial and retail divisions...employee ownership, producer cooperatives, labor managed firm, productive efficiency, Mondragon

UK high streets during global economic crisis

The 2008-09 global economic crisis has impacted UK high streets and town centres in complex and little understood ways. In addition, the vitality of UK high streets has been differentially impacted by three other forces and has become an increasing focus of government and public anxiety: These forces include: (i) the progressive rise of online shopping, (ii) the complex consequences of the implementation of a ‘town centre first’ policy in retail development and (iii) the rise of often underestimated influence of convenience culture.This research investigates the response of UK high streets to these drivers of change, and seeks to make three main contributions. First, to provide new descriptive evidence on the differential performance of UK retail centres during and since the economic crisis. Although some of these findings parallel those suggested by specialist commercial research companies they also significantly extend available knowledge. In particular, they depict the discrepancy in the response of independent and multiple retailers to the economic and competitive shocks. Second, to identify the key drivers of town centre performance, by employing the multivariate analysis of that issue at both cross-regional and intra-urban levels. The cross-regional analysis derives seven factors associated with retail centre enhanced resilience or fragility to the economic crisis; the intra-urban analysis validates and reinforces the results of the cross-regional analysis and provides further insights into the dynamics of UK town centres performance in the post-crisis decade. Third, to conceptualise the nature of UK retail centres’ complex adjustment to the shock of economic crisis and other forces of change, by exploring alternative interpretations of the resilience of economic systems. In particular, we use the concept of adaptive resilience to understand the dynamic process through which UK high streets have gradually and constantly evolved. We suggest a conceptual framework which links the notions of adaptive capacity and adaptive resilience and indicates how a position of a centre in adaptive cycle and the role of various actors are important to performance of that centre.At a time when the economic health of high streets has generated a large amount of research, the findings of this study have the potential to contribute to the policy agenda and set a benchmark against which future research can be positioned and interpreted

An Analysis of Alternative Maize Marketing Policies in South Africa

The maize-oriented agricultural economies throughout Southern Africa are in fundamental transition. Increased recognition of the costs of historical controls on pricing and marketing already has led to partial maize market liberalization in several countries in the region. However, there is still intense debate over the appropriate scope and implementation of future food market reform. Much of the debate derives from uncertainty over the consequences of comprehensive and politically risky changes to domestic markets, especially at a time when regional market conditions are also in flux due to agricultural restructuring in neighboring countries. There is currently little information on the direction and magnitude of grain trade between South Africa, Zimbabwe, and other countries in the region under a deregulated external trading environment. There is also a lack of information on the regional consequences of alternative domestic maize policy scenarios currently under deliberation in South Africa. The purpose of this research is fourfold. First, we consider the role of food market reform in affecting future economic growth and food security in South Africa, and discuss the congruence between the government's food policy objectives and the existing marketing and pricing system. Second, trends in maize production, trade, prices and marketing costs in South Africa and Zimbabwe, the two largest maize traders in the region, are presented. Third, we present four alternative maize policy scenarios in South Africa, and then estimate their effects on maize production, gross revenues, consumer prices, and trade flows under various weather and pricing scenarios in Zimbabwe. A comparison of results across four policy scenarios clarifies the gainers, losers, and extent of income transfers between various regions and socio-economic groups within each region. The final section identifies means by which national food policy objectives in South Africa may be more cost-effectively achieved through harmonization of policies between South Africa and its regional neighbors.food security, food policy, maize market, Crop Production/Industries, Marketing, Q13,