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Retail Assortment Strategies
Assortment strategies are used by retailers in Brick and mortar, brick-and-mortar and ECommerce, ecommerce to decide on a daily basis how to allocate inventory to their stores as part of their merchandise planning processes. Such strategies are integral for retailers because they directly affect how their customers interact with their merchandise, and therefore, their brand. The decisions that these strategies help make are what to sell, where to sell it, when to sell it, whom to sell it to, and how much to sell. Deep assortment A company that utilizes a deep assortment to compete in a market does so by carrying a vast array of colors, sizes and other options of a particular category. An example of this could be an athletic shoe store. They will carry a large assortment of athletic shoes in a wide range of sizes and colors, sometimes to the point of exhausting all possible options, but they will not carry a women’s sandal. Wide assortment Conversely, a wide assortment strat ...
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Brick And Mortar
Brick and mortar (also bricks and mortar or B&M) refers to a physical presence of an organization or business in a building or other structure. The term ''brick-and-mortar business'' is often used to refer to a company that possesses or leases retail shops, factory production facilities, or warehouses for its operations. More specifically, in the jargon of e-commerce businesses in the 2000s, brick-and-mortar businesses are companies that have a physical presence (e.g., a retail shop in a building) and offer face-to-face customer experiences. This term is usually used to contrast with a transitory business or an Internet-only presence, such as fully online shops, which have no physical presence for shoppers to visit, talk with staff in person, touch and handle products and buy from the firm in person. However, such online businesses normally have non-public physical facilities from which they either run business operations (e.g., the company headquarters and back office facili ...
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ECommerce
E-commerce (electronic commerce) is the activity of electronically buying or selling of products on online services or over the Internet. E-commerce draws on technologies such as mobile commerce, electronic funds transfer, supply chain management, Internet marketing, online transaction processing, electronic data interchange (EDI), inventory management systems, and automated data collection systems. E-commerce is in turn driven by the technological advances of the semiconductor industry, and is the largest sector of the electronics industry. Defining e-commerce The term was coined and first employed by Dr. Robert Jacobson, Principal Consultant to the California State Assembly's Utilities & Commerce Committee, in the title and text of California's Electronic Commerce Act, carried by the late Committee Chairwoman Gwen Moore (D-L.A.) and enacted in 1984. E-commerce typically uses the web for at least a part of a transaction's life cycle although it may also use other t ...
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The Home Depot
The Home Depot, Inc., is an American multinational home improvement retail corporation that sells tools, construction products, appliances, and services, including fuel and transportation rentals. Home Depot is the largest home improvement retailer in the United States. In 2021, the company had 490,600 employees and more than $151 billion in revenue. The company is headquartered in incorporated Cobb County, Georgia, with an Atlanta mailing address. It operates many big-box format stores across the United States (including the District of Columbia, Guam, Puerto Rico and the U.S. Virgin Islands); all 10 provinces of Canada; and all 32 Mexican states and Mexico City. MRO company Interline Brands (now The Home Depot Pro) is also owned by The Home Depot, with 70 distribution centers across the United States. It has been involved in several controversies, primarily involving the security and safety of its consumers. History 1978–1999 The Home Depot was co-founded by Bernard M ...
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Predictive Analytics
Predictive analytics encompasses a variety of statistical techniques from data mining, predictive modeling, and machine learning that analyze current and historical facts to make predictions about future or otherwise unknown events. In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities. Models capture relationships among many factors to allow assessment of risk or potential associated with a particular set of conditions, guiding decision-making for candidate transactions. The defining functional effect of these technical approaches is that predictive analytics provides a predictive score (probability) for each individual (customer, employee, healthcare patient, product SKU, vehicle, component, machine, or other organizational unit) in order to determine, inform, or influence organizational processes that pertain across large numbers of individuals, such as in marketing, credit risk assessment, fraud det ...
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