Object Self-Service

An object can produce orders on its own through the use of sensors and integration into an IT framework. This enables fully automated procedures such as replenishment and increases the speed with which the object may be interacted with. The customer is retained, resulting in recurring revenue.

When and how to apply Object Self-Service:

With the increasing number of loT-compatible devices and the opportunity to develop new applications for the corresponding sensors, the number of practical use cases for Object Self-Service patterns increases. Due to the presence of sensors and IT infrastructure, an object can autonomously generate orders. This enables fully automated processes, such as refilling, and increases the speed of interaction with the object; customers can focus on their core activities while time-consuming tasks are automated and outsourced to the object's self-service provider.

the thing. The customer is safeguarded by the value proposition of material availability without active purchases as well as the installed infrastructure. object, which generates recurring revenues.

The concept of self-service is no longer limited to the customer; things can now serve themselves as well. Object self-service patterns provide a value for value proposition that combines consumables and services. As a result of the sensors and the accumulation of computing power, the company is able to draw the correct conclusions and eliminate material defects for the customer.

problems for the customer. For instance, a heating system may order oil refills when the level drops below a certain threshold. The pattern is appropriate for both B2B and B2C applications, with the necessary network and sensor infrastructure being provided by the environment's increasing digitalisation.

By optimizing the network through either active procurement or regular on-site visits by the salesperson, both the demand and supply sides can experience process enhancements. Through the replacement of business models that are geared towards routine customer activities (e.g., the delivery of office lunches), the sample reduces, for instance, stock and unnecessary transport costs that may result from the information asymmetry between the supplier and the final demand.

A well-known companie that use this pattern is Tesla.

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This Pattern is used by:

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