July 14, 2021 1:12 AM PDT
Based on the study of the allocation of organizational resource resources in the customized online shopping solution mode and its organizational characteristics, this article presents an investigation of online e-shopping optimization model and builds a better ant algorithm to resolve it. This article first presents the theoretical foundation and then goes into describing various issues such as service, e-commerce, business intelligence, and knowledge resources. It further divides the model into the service and e-commerce aspects to understand their importance and finally presents the generic and optimized solution for all the cases. We derive the optimization from the service and e-commerce areas and derive optimal service and optimized e-commerce case from the business intelligence resources.
The service component includes several different stages such as pre-sales optimization, discovery, early testing, post-sales evaluation, maintenance and change management. Discovery deals with the collection of certain information or facts about the target market and the research about the same. In early testing, the system under test is optimized to achieve certain order of business and this is usually done by a test engineer. Maintenance and change management involves changes to the systems and software used in the system to ensure that it is still working according to the pre-sales and pre-defined strategies. Based on the results obtained from these different stages, the system is further optimized by [url=https://customize.pk/]Customized Online Shopping[/url].
Based on the research above, we have proposed three important stages in customized e-commerce optimization which are discovery, optimization, and collaboration. To achieve the optimization objectives of any business, one should have a proper dedicated team and the system should be built to allow for easy collaboration and coordination between multiple stakeholders. The key concept behind the optimization is that the company should provide the end user a better experience by offering customized solutions and lowering the cost of doing business.
Based on the study of the allocation of organizational resource resources in the customized online shopping solution mode and its organizational characteristics, this article presents an investigation of online e-shopping optimization model and builds a better ant algorithm to resolve it. This article first presents the theoretical foundation and then goes into describing various issues such as service, e-commerce, business intelligence, and knowledge resources. It further divides the model into the service and e-commerce aspects to understand their importance and finally presents the generic and optimized solution for all the cases. We derive the optimization from the service and e-commerce areas and derive optimal service and optimized e-commerce case from the business intelligence resources.
The service component includes several different stages such as pre-sales optimization, discovery, early testing, post-sales evaluation, maintenance and change management. Discovery deals with the collection of certain information or facts about the target market and the research about the same. In early testing, the system under test is optimized to achieve certain order of business and this is usually done by a test engineer. Maintenance and change management involves changes to the systems and software used in the system to ensure that it is still working according to the pre-sales and pre-defined strategies. Based on the results obtained from these different stages, the system is further optimized by [url=https://customize.pk/]Customized Online Shopping[/url].
Based on the research above, we have proposed three important stages in customized e-commerce optimization which are discovery, optimization, and collaboration. To achieve the optimization objectives of any business, one should have a proper dedicated team and the system should be built to allow for easy collaboration and coordination between multiple stakeholders. The key concept behind the optimization is that the company should provide the end user a better experience by offering customized solutions and lowering the cost of doing business.