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Price optimization utilizes data analysis to predict the behavior of potential buyers to different prices of a product or service. Depending on the type of methodology being implemented, the analysis may leverage survey data (e.g. such as in a conjoint pricing analysis [7]) or raw data (e.g. such as in a behavioral analysis leveraging 'big data' [8] [9]).
Cost plus pricing is a cost-based method for setting the prices of goods and services. Under this approach, the direct material cost, direct labor cost, and overhead costs for a product are added up and added to a markup percentage (to create a profit margin) in order to derive the price of the product.
Target costing is defined as "a disciplined process for determining and achieving a full-stream cost at which a proposed product with specified functionality, performance, and quality must be produced in order to generate the desired profitability at the product’s anticipated selling price over a specified period of time in the future."
Incorporation of "low-cost thinking" into an organisation's culture [5]: 8 Half cost strategies: ambitious strategies which aim to reduce the costs of specific production processes or value adding stages to 1/N of the previous cost. [7] Examples specifically focussed on the use of suppliers and the costs of goods and services supplied include:
Product breakdown: Recursively divide the product into components and subcomponents. Systems engineering: Ensure that the product satisfies customer needs, cost requirements, and quality demands. Value engineering: Consider alternative designs and construction techniques to reduce cost/increase profit. Value analysis: Assess the cost/quality ...
[10] [12] [13] Critical analysis done separately for cost leadership strategy and differentiation strategy identifies elementary value in both strategies in creating and sustaining a competitive advantage. Consistent and superior performance over competition could be reached with stronger foundations in the event “hybrid strategy” is adopted.
Typically, supply-chain managers aim to maximize the profitable operation of their manufacturing and distribution supply chain. This could include measures like maximizing gross margin return on inventory invested (balancing the cost of inventory at all points in the supply chain with availability to the customer), minimizing total operating expenses (transportation, inventory and ...
In this method, multiple product attributes are specified and then tested with consumers. Due to complex interaction effects between different attributes (for example, consumers frequently associate certain flavors with packaging colors), it is problematic to use mathematical methods, such as Conjoint Analysis, typically used in industrial ...