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  2. Price optimization - Wikipedia

    en.wikipedia.org/wiki/Price_optimization

    Price optimization. Price optimization is the use of mathematical analysis by a company to determine how customers will respond to different prices for its products and services through different channels. [ 1 ] It is also used to determine the prices that the company determines will best meet its objectives such as maximizing operating profit ...

  3. Value-based pricing - Wikipedia

    en.wikipedia.org/wiki/Value-based_pricing

    Value-based pricing. Value-based price, also called value-optimized pricing or charging what the market will bear, is a market-driven pricing strategy which sets the price of a good or service according to its perceived or estimated value. [1] The value that a consumer gives to a good or service, can then be defined as their willingness to pay ...

  4. Dynamic pricing - Wikipedia

    en.wikipedia.org/wiki/Dynamic_pricing

    Dynamic pricing. Dynamic pricing, also referred to as surge pricing, demand pricing, or time-based pricing, and variable pricing, is a revenue management pricing strategy in which businesses set flexible prices for products or services based on current market demands. It usually entails raising prices during periods of peak demand and lowering ...

  5. Shadow price - Wikipedia

    en.wikipedia.org/wiki/Shadow_price

    In constrained optimization in economics, the shadow price is the change, per infinitesimal unit of the constraint, in the optimal value of the objective function of an optimization problem obtained by relaxing the constraint. If the objective function is utility, it is the marginal utility of relaxing the constraint.

  6. Pricing - Wikipedia

    en.wikipedia.org/wiki/Pricing

    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 ...

  7. Revenue management - Wikipedia

    en.wikipedia.org/wiki/Revenue_management

    Optimization involves solving two important problems in order to achieve the highest possible revenue. The first is determining which objective function to optimize. A business must decide between optimizing prices, total sales, contribution margins, or even customer lifetime values. Secondly, the business must decide which optimization ...

  8. Pricing science - Wikipedia

    en.wikipedia.org/wiki/Pricing_science

    Pricing science. Pricing science is the application of social and business science methods to the problem of setting prices. Methods include economic modeling, statistics, econometrics, mathematical programming. This discipline had its origins in the development of yield management in the airline industry in the 1980s, and has since spread to ...

  9. Mathematical optimization - Wikipedia

    en.wikipedia.org/wiki/Mathematical_optimization

    Mathematical optimization (alternatively spelled optimisation) or mathematical programming is the selection of a best element, with regard to some criteria, from some set of available alternatives. [1][2] It is generally divided into two subfields: discrete optimization and continuous optimization.