Growth Potential of Retail Trading Areas

Every retailer must answer one more question before completing the trading area evaluation process. That is what holds for the future for the retail trading area ? In other words he is to foresee the growth potentials of trading areas. It is because, the marketing opportunities can change quickly or dynamically growing trading areas might turn either static or decline. The retailer either must fight to maintain present market share or be willing to survive on a smaller share without future growth. However, with the growth, the retailer has an opportunity to expand sales and market share at a reasonable amount of cost and effort. Therefore, the final step in evaluating a retail trading area is to determine the areas future growth. The retailer can very often learn what to expect by examining future conditions because, the future of a retail trading area is an outgrowth of past and present Continue reading

Store Positioning in Retail Management

Attracting the customers is the crux of the issue of retail trade. How and where the store is positioned on the site affects the retailer’s ability to attract the customers. Therefore in evaluating the existing store facilities or planning future site layouts, the retailer should answer effectively and satisfactorily these three questions. These are: How visible is the store? Is the store compatible with its surroundings?   Are store facilities placed for customer convenience ? 1.  Ensuring the Store Visibility The customers must see the store if the retailer wants to achieve the goals of stopping, attracting and inviting the customers. A visible store becomes a part of the consumers mental map of where, to shop for certain product as service. Visual awareness of a stores existence has the  short-run  benefit of alluring impulse shoppers and the long-run benefit of attracting the future customers who develop a particular need for Continue reading

Data Analytics in Retail Industry

Data acquisition using the Internet of Things (IoT) in the retail industry is one of the most important innovations in increasing the amount of relevant data that can be collected during a customer’s visit. Analyzing the behavior of a customer during an in-store purchase using sensing devices can reveal a customer’s interests and choices. Using a number of sensing devices, the in-store customer behavior is captured, pre-processed, and then transmitted over a wireless network to the cloud. A data analytics model built with fuzzy logic is developed to generate the data of a customer’s purchasing intentions. This approach will help retail stores to recommend products to customers and guide supply chain planning. Such an approach allows retailers to gain more sales thereby increasing their market value. The increase in the amount of data available due to the advent of automation, new technologies, and standards have made the decision-making process in Continue reading

Concept of Planned Shopping Centers

The expansion of suburbia brought with it planned residential  developments. These new sub divisions were connected by many new city streets  and through fares along which retail businesses could be established. The notion  of the planned shopping center was born. Developers could plan multi store  facilities that would serve the needs of these new  neighbor  hoods with grocery,  drug, and apparel goods. With the availability of large tracts of relatively cheap  undeveloped land located many miles from the inner city, but close to these new  living areas, large  centers  could be designed that would offer one stop shopping  to entire clusters of residential areas. The last thirty years witnessed the  widespread development of multiunit retail strip  centers  and the construction of  multiacre shopping malls/theme parks. Several important issues surround the choice of locating a retail business  in a planned shopping center. One important consideration is the nature of the  business Continue reading

Retail Site Evaluation and Selection

Retail Site Evaluation Methods Experts and analysts have at their disposal several methods to evaluate retail site alternatives. These are broadly classified as subjective and objective. Again some are quite simple and some are sophisticated. It suffices to take two most commonly used methods namely, checklist method and quantitative methods. 1. Checklist Method It provides a retail site evaluator with a set of procedural steps for arriving at a subjective yet quantitative expression of a sites value. First, the evaluator enumerates the general factors that are usually considered in any site evaluation. A typical list of factors includes all or most of the site-evaluation principles~ interruption, cumulative attraction, compatibility and accessibility. Secondly, for each general factor, the evaluator identifies several attribute measurements that reflect the location needs of the proposed operation. For instance, interception which is a key location attribute for most convenience retailers, can be divided into the volume Continue reading

Concept of Retail Store Displays

Displays are  the terminal part of the retail store’s interior. Advertising does attract the consumers to the store. However, visual displays have much more to play once the customer gets into the store. Retail store displays are non-personal, in-store presentations and exhibitions of merchandise together with related information. In actual practice, retail store displays are used to: Maximize  product exposure. To enhance product appearance. To stimulate product interest. To exhibit product information. To facilitate sales transactions. To ensure product security. To provide product storage. To remind customers of planned purchases. To generate additional sales of impulse items and To improve the image and prestige of a retailer. Merchandise displays are to gain the attention of consumers, provide proper balance, be structured in right proportion, be hard-hitting and convey their message quickly. The expert study conducted by display specialists reveal that on an average consumer spends only 11 seconds in observing Continue reading