Theoretical insights into AI product launch strategies for start-ups: Navigating market challenges
1 Slalom Consulting Inc, Vancouver, British Columbia. Canada.
2 Gerald and Gerald Exchanges, Lagos, Nigeria.
Review
International Journal of Frontiers in Science and Technology Research, 2024, 06(01), 062–072.
Article DOI: 10.53294/ijfstr.2024.6.1.0032
Publication history:
Received on 10 February 2024; revised on 17 March 2024; accepted on 20 March 2024
Abstract:
Launching AI products presents unique challenges for start-ups, requiring a deep understanding of market dynamics and effective strategic planning. This paper explores theoretical frameworks and practical approaches to help start-ups navigate the complexities of AI product launches. We begin by analyzing market challenges, including competitive landscapes, market segmentation, and regulatory considerations. Drawing from theoretical models such as lean startup methodology, crossing the chasm theory, and blue ocean strategy, we propose a comprehensive framework for AI product launch strategies. Tactical approaches such as MVP development, customer-centricity, strategic partnerships, and scalability considerations are discussed to facilitate successful product launches. Implementation challenges, including talent acquisition, resource allocation, and investor management, are addressed alongside ethical considerations in AI deployment. Case studies and practical examples offer insights from both successful and failed AI product launches. Through this exploration, we aim to equip start-ups with the theoretical insights necessary to navigate market challenges and drive successful AI product launches in an ever-evolving landscape.
Keywords:
Theoretical Insights; AI; Product Launch; Strategies; Start-ups; Market Challenges
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Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0