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Direct sales of local foods, for instance through farmer's markets, have reached a plateau, while intermediated sales (through more traditional retailers) are still rising rapidly. We provide an explanation for the growth of inter...
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Direct sales of local foods, for instance through farmer's markets, have reached a plateau, while intermediated sales (through more traditional retailers) are still rising rapidly. We provide an explanation for the growth of intermediated local foods based on the observation that consumers prefer to buy local foods as part of a shopping basket that includes both local and non-local items. We test our hypothesis using data from a natural experiment conducted by Relay Foods, an online retailer based in the U.S. state of Virginia, and a multi-variate logit model of shopping-basket demand. We find significant complementarities among items in a sample shopping basket that are not reflected in estimates from a discrete-choice model of category demand. Estimates of a structural pricing-and-local-content model reveal important incentives for retailers to offer local foods as part of a broader selection of grocery items.
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In this Proposed work developed such a shopping system that can be very helpful for the customer and that can also save the time of the customer and make their shopping easy. In this system customer scans the QR Code of the produc...
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In this Proposed work developed such a shopping system that can be very helpful for the customer and that can also save the time of the customer and make their shopping easy. In this system customer scans the QR Code of the products and add product into the cart. Bill is a generated automatically which saves the time waiting in a queue. As a result customers don't have to hold up in long lines at checkout. This system brings new innovation than existing shopping system. The main purpose of this proposed work is to provide centralized and automated billing system using QR code. Along with the automatic billing some special features incorporated are budget setting and Product recommendation based on the special offers and discount along with product details with an anti – theft mechanism. We use new term that is Market Basket Analysis.
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Many organizations collect information about customers which are used to support various business related task. The detail of the customers and their behavior is stored in the database. Here we propose a method of using incrementa...
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Many organizations collect information about customers which are used to support various business related task. The detail of the customers and their behavior is stored in the database. Here we propose a method of using incremental updating technique to mine direct association rules Inter & Intra transactions. Cluster analysis is performed to verify the associated objects fall in nominal cluster. The result of this technique can be used to develop well structured e-shop which facilitate the customer by helping him to find what he wants in a specialized way and also aids him to choose the associated products by the method of prediction. Thus it reduces the workload of marketing professional to provide direct marketing and thereby providing customer satisfaction.
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We propose an apparel online shopping site with a fashion adviser existing on the Internet. The fashion adviser, who has detailed knowledge about the fashions in the real shop, selects and coordinates the clothes of the customer's...
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We propose an apparel online shopping site with a fashion adviser existing on the Internet. The fashion adviser, who has detailed knowledge about the fashions in the real shop, selects and coordinates the clothes of the customer's preference. Because customers without a detailed knowledge of fashion were not able to choose clothes suitable for their preferences from among the large selection on conventional apparel shopping sites, we created a system that analyzes the customer's preferences by the AHP technique, forms a cluster by correlation of clothes, and analyzes the market basket. As a result, this system can coordinate clothes appropriate to the taste of an individual customer. It can also make recommendations of other clothes based on past sales data.
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With the proliferation of electronic media, one-to-one marketing has become more accessible and it is moving toward widespread adoption. It is particularly important for retailers, where several forms of one-to-one marketing are p...
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With the proliferation of electronic media, one-to-one marketing has become more accessible and it is moving toward widespread adoption. It is particularly important for retailers, where several forms of one-to-one marketing are performed either before or after a shopping experience. One-to-one marketing during the shopping experience is still elusive; however, with recent technological advances it could soon become reality. We show how it can be carried out by using either personal digital assistance devices and wireless communication, or radio frequency identification. The main concept is based on providing coupons during a shopping experience and then routing the customer within the facility to possibly redeem them. The novel approach of selecting the coupons based on the already purchased goods enables one-to-one marketing during the actual shopping trip. Several models are presented based on the underlying technology and the option of a loyalty card. The concepts are computationally evaluated based on data obtained from a grocery store. They allude to substantially increased revenue by the store.
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Nowadays, a hot challenge for supermarket chains is to offer personalized services to their customers. Market basket prediction, i.e., supplying the customer a shopping list for the next purchase according to her current needs, is...
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Nowadays, a hot challenge for supermarket chains is to offer personalized services to their customers. Market basket prediction, i.e., supplying the customer a shopping list for the next purchase according to her current needs, is one of these services. Current approaches are not capable of capturing at the same time the different factors influencing the customer's decision process: co-occurrence, sequentuality, periodicity, and recurrency of the purchased items. To this aim, we define a pattern Temporal Annotated Recurring Sequence (TARS) able to capture simultaneously and adaptively all these factors. We define the method to extract TARS and develop a predictor for next basket named TBP (TARS Based Predictor) that, on top of TARS, is able to understand the level of the customer's stocks and recommend the set of most necessary items. By adopting the TBP the supermarket chains could crop tailored suggestions for each individual customer which in turn could effectively speed up their shopping sessions. A deep experimentation shows that TARS are able to explain the customer purchase behavior, and that TBP outperforms the state-of-the-art competitors.
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Searching product information and buying goods online are becoming increasingly popular activities, which would seem likely to affect shopping trips. However, little empirical evidence about the relationships between e-shopping an...
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Searching product information and buying goods online are becoming increasingly popular activities, which would seem likely to affect shopping trips. However, little empirical evidence about the relationships between e-shopping and in-store shopping is available. The aim of this study is to describe how the frequencies of online searching, online buying, and non-daily shopping trips relate to each other, and how they are influenced by such factors as attitudes, behaviour, and land use features. Questionnaire data were collected from 826 respondents residing in four municipalities (one urban, three suburban) in the centre of the Netherlands. Structural equation modelling was used to examine the variables' multiple and complex relationships. The results show that searching online positively affects the frequency of shopping trips, which in its turn positively influences buying online. An indirect positive effect of time-pressure on online buying was found and an indirect negative effect of online searching on shopping duration. These findings suggest that, for some people, e-shopping could be task-oriented (a time-saving strategy), and leisure-oriented for others. Urban residents shop online more often than suburban residents, because they tend to have a faster Internet connection. The more shopping opportunities one can reach within 10 min by bicycle, the less often one searches online.
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Purpose - The purpose of this paper is to focus on consumers' behaviours in a new trend of grocery retailing, called the drive-through format. It investigates the influence of logistics service quality and product quality (freshne...
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Purpose - The purpose of this paper is to focus on consumers' behaviours in a new trend of grocery retailing, called the drive-through format. It investigates the influence of logistics service quality and product quality (freshness of the product and the product in general) on consumers' reactions (satisfaction, average basket expenditure and shopping frequency) through the mediation of satisfaction. This work also examines whether convenience moderates the relation between perceived quality and consumer satisfaction. Design/methodology/approach - This study tests these relationships with both path and structural models using a data set of grocery drive-throughs in France, gathered during 2015-2016. To confirm the validity of each construct, this paper has based and purified variables using various scales established in previous studies by conducting exploratory and confinnatory analysis. Findings - Logistics service quality and perceived product are effective drivers of consumer satisfaction. As well, the results reveal a positive relationship between quality perceptions and behaviour (average basket expenditure and shopping frequency) through the mediating function of consumer (overall) satisfaction. Thus, the findings indicate that the positive effects of the interaction terms between convenience and both the perceived quality of service and the perceived quality of fresh products on satisfaction can lead to a higher purchase incidence in drive-throughs. However, the degree of consumer convenience does not alter the influence of product quality in general with regard to the formation of satisfaction in connection with drive-throughs. Originality/value - Despite the growth of the drive-through format, few studies have investigated customer satisfaction within grocery retailing, nor its consequences and drivers, especially logistics service quality.
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Clients who visit an apparel marketing website but have little previous knowledge of fashions tend to have difficulties selecting clothes that suit their tastes. Faced with an immense number of products on display, they can become...
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Clients who visit an apparel marketing website but have little previous knowledge of fashions tend to have difficulties selecting clothes that suit their tastes. Faced with an immense number of products on display, they can become quite confused and even hesitate to make any selections at all. This study proposes a system that supports online purchases of garments with functions to select and recommend garments on the basis of the customer's tastes. The system has three basic capabilities: (1) It analyzes the customer's tastes using the analytical hierarchy process (AHP) and selects and suggests clothes. (2) It designates a priority for suggesting the garments using correlations found by clustering. (3) It suggests second purchases of items that have been chosen by previous customers with similar tastes who bought a garment that the current online customer has just decided to buy. The second purchases are selected using market basket analysis. Two databases are essential to this process: one for the attributes of garments and one for simultaneous purchases of garments.
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摘要 :
Clients who visit an apparel marketing website but have little previous knowledge of fashions tend to have difficulties selecting clothes that suit their tastes. Faced with an immense number of products on display, they can become...
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Clients who visit an apparel marketing website but have little previous knowledge of fashions tend to have difficulties selecting clothes that suit their tastes. Faced with an immense number of products on display, they can become quite confused and even hesitate to make any selections at all. This study proposes a system that supports online purchases of garments with functions to select and recommend garments on the basis of the customer's tastes. The system has three basic capabilities: (1) It analyzes the customer's tastes using the analytical hierarchy process (AHP) and selects and suggests clothes. (2) It designates a priority for suggesting the garments using correlations found by clustering. (3) It suggests second purchases of items that have been chosen by previous customers with similar tastes who bought a garment that the current online customer has just decided to buy. The second purchases are selected using market basket analysis. Two databases are essential to this process: one for the attributes of garments and one for simultaneous purchases of garments.
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