pricing

In the last few years, quantum computing has achieved new successes, such as Google’s quantum supremacy experiment [1], and has been showing adoption by large industrial firms to tackle complex problems. But what has led up to these developments? What kinds of problems can we expect to be able to solve in the near term with quantum computing? What are the challenges that we encounter with this technology and deploying within industrial settings?

Firms offering product-related services can be distinguished by development stages or by types. Type-1 firms focus on the product and may benefit from refinements of service cost accounting. Type-2 firms exhibit an extended offer of separately priced services. For these firms, capacity planning and thus information on fixed capacity costs is especially important. Type-3 firms offer relationship-based services and thereby increasingly apply full-service contracts. This alters the risk distribution between the firm and its customers so that variable costs and pricing issues become more important.

Customer Service as an add-on for products is accepted as an important factor for international competition. It is also very often established as a business unit. In the following article not only problems are discussed for pricing and costing in customer service, but also methods for solving these problems are pointed out, how to appropriately calculate costs according to the input involved as basis for customer oriented pricing.