Proposed Business Strategy for PT AceInno Technologies to Increase Revenue by Implementing Software Test Automation Services

Journal Title: International Journal of Current Science Research and Review - Year 2024, Vol 7, Issue 08

Abstract

This paper explores PT AceInno Technologies, the ways it has strengthened the company’s value that would allow differentiation and new business strategies to boost the company’s revenues and the trends in IT software testing industry. In the SWOT analysis, business strength is characterized by high customer satisfaction and stability of the market; in the TOWS analysis, possibilities for development are long-term partnership with clients, and increasing effectiveness of time and test automation; in PESTEL analysis legal actions are discussed as a threat to the business; some risks which may be minimized are delays with time and poor test coverage. Some of them include; Employing the use of AI and other advanced test automation tools, diversification of services, constant feedback with clients to enhance the existing relations. Adjacent expansion, efficient operations, and constant training of employees can also be seen as the proposed business strategy to sustain competitive advantage. Thus, the integration of AI-augmented capabilities and innovative functions in PT AceInno Technologies allow it to create unique opportunities to improve the quality of services, generate new growth points, and become a market leader. Further research should investigate the impact and success of employing AI-supported QA in general and the consequences of enhancing the quality assurance process on the customers’ satisfaction and loyalty in the long term.

Authors and Affiliations

Rakesh Kumar Mudavath,

Keywords

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  • EP ID EP742337
  • DOI 10.47191/ijcsrr/V7-i8-33
  • Views 39
  • Downloads 0

How To Cite

Rakesh Kumar Mudavath, (2024). Proposed Business Strategy for PT AceInno Technologies to Increase Revenue by Implementing Software Test Automation Services. International Journal of Current Science Research and Review, 7(08), -. https://europub.co.uk./articles/-A-742337