Pricing is the process whereby a business sets the price at which it will sell its products and services, and may be part of the business's marketing plan. In setting prices, the business will take into account the price at which it could acquire the goods, the manufacturing cost, the marketplace, competition, market condition, brand, and quality of product.
A grey market or dark market is the trade of a commodity through distribution channels that are not authorized by the original manufacturer or trade mark proprietor. Grey market products are products traded outside the authorized manufacturer's channel.
A market basket or commodity bundle is a fixed list of items, in given proportions. Its most common use is to track the progress of inflation in an economy or specific market. That is, to measure the changes in the value of money over time. A market basket is also used with the theory of purchasing price parity to measure the value of money in different places.
A loss leader is a pricing strategy where a product is sold at a price below its market cost to stimulate other sales of more profitable goods or services. With this sales promotion/marketing strategy, a "leader" is any popular article, i.e., sold at a low price to attract customers.
Association rule learning is a rule-based machine learning method for discovering interesting relations between variables in large databases. It is intended to identify strong rules discovered in databases using some measures of interestingness. In any given transaction with a variety of items, association rules are meant to discover the rules that determine how or why certain items are connected.
Apriori is an algorithm for frequent item set mining and association rule learning over relational databases. It proceeds by identifying the frequent individual items in the database and extending them to larger and larger item sets as long as those item sets appear sufficiently often in the database. The frequent item sets determined by Apriori can be used to determine association rules which highlight general trends in the database: this has applications in domains such as market basket analysis.
Data management comprises all disciplines related to handling data as a valuable resource, it is the practice of managing an organization's data so it can be analyzed for decision making.
An extended warranty, sometimes called a service agreement, a service contract, or a maintenance agreement, is a prolonged warranty offered to consumers in addition to the standard warranty on new items. The extended warranty may be offered by the warranty administrator, the retailer or the manufacturer. Extended warranties cost extra and for a percentage of the item's retail price. Occasionally, some extended warranties that are purchased for multiple years state in writing that during the first year, the consumer must still deal with the manufacturer in the occurrence of malfunction. Thus, what is often promoted as a five-year extended guarantee, for example, is actually only a four-year guarantee.
Online shopping is a form of electronic commerce which allows consumers to directly buy goods or services from a seller over the Internet using a web browser or a mobile app. Consumers find a product of interest by visiting the website of the retailer directly or by searching among alternative vendors using a shopping search engine, which displays the same product's availability and pricing at different e-retailers. As of 2020, customers can shop online using a range of different computers and devices, including desktop computers, laptops, tablet computers and smartphones.
Marketing intelligence (MI) is the everyday information relevant to a company's markets, gathered and analyzed specifically for the purpose of accurate and confident decision-making in determining market opportunity, market penetration strategy, and market development metrics. Marketing intelligence is necessary when entering a foreign market.
In marketing, a rebate is a form of buying discount and is an amount paid by way of reduction, return, or refund that is paid retrospectively. It is a type of sales promotion that marketers use primarily as incentives or supplements to product sales. Rebates are also used as a means of enticing price-sensitive consumers into purchasing a product. The mail-in rebate (MIR) is the most common. A MIR entitles the buyer to mail in a coupon, receipt, and barcode in order to receive a check for a particular amount, depending on the particular product, time, and often place of purchase. Rebates are offered by either the retailer or the product manufacturer. Large stores often work in conjunction with manufacturers, usually requiring two or sometimes three separate rebates for each item, and sometimes are valid only at a single store. Rebate forms and special receipts are sometimes printed by the cash register at time of purchase on a separate receipt or available online for download. In some cases, the rebate may be available immediately, in which case it is referred to as an instant rebate. Some rebate programs offer several payout options to consumers, including a paper check, a prepaid card that can be spent immediately without a trip to the bank, or even as a PayPal payout.
Scan-based trading (SBT) is the process by which suppliers maintain ownership of inventory within retailers' warehouses or stores until items are scanned at the point of sale. Suppliers, such as manufacturers or farmers, own the product until it is purchased by the customer, with the store or venue then buying the product from the supplier and reselling it to the customer. Analysts in the grocery sector estimate scan-based trading accounted for $21 billion dollars in consumer goods purchased in the grocery industry alone in 2020, or nearly 3% of overall sales.
Sequential pattern mining is a topic of data mining concerned with finding statistically relevant patterns between data examples where the values are delivered in a sequence. It is usually presumed that the values are discrete, and thus time series mining is closely related, but usually considered a different activity. Sequential pattern mining is a special case of structured data mining.
Visual merchandising is the practice in the retail industry of optimizing the presentation of products and services to better highlight their features and benefits. The purpose of such visual merchandising is to attract, engage, and motivate the customer towards making a purchase.
A stockout, or out-of-stock (OOS) event is an event that causes inventory to be exhausted. While out-of-stocks can occur along the entire supply chain, the most visible kind are retail out-of-stocks in the fast-moving consumer goods industry. Stockouts are the opposite of overstocks, where too much inventory is retained. A backorder is an order placed for an item which is out-of-stock and awaiting fulfillment.
Customer analytics is a process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. Marketing provides services to satisfy customers. With that in mind, the productive system is considered from its beginning at the production level, to the end of the cycle at the consumer. Customer analytics plays an important role in the prediction of customer behavior.
'Shopper marketing' is "a discipline that focuses on the customer experience and the customer journey."It focuses on the consumer's path to purchasing a product, from first being aware of the product, to consideration and through to the purchase of it. It separates itself from retail marketing which focuses on engaging the customer in-store only.
Customer to customer markets provide a way to allow customers to interact with each other. Traditional markets require business to customer relationships, in which a customer goes to the business in order to purchase a product or service. In customer to customer markets, the business facilitates an environment where customers can sell goods or services to each other. Other types of markets include business to business (B2B) and business to customer (B2C).
Data mining, the process of discovering patterns in large data sets, has been used in many applications.
Frequent pattern discovery is part of knowledge discovery in databases, Massive Online Analysis, and data mining; it describes the task of finding the most frequent and relevant patterns in large datasets. The concept was first introduced for mining transaction databases. Frequent patterns are defined as subsets that appear in a data set with frequency no less than a user-specified or auto-determined threshold.
