Application of Artificial Intelligence (AI) Approach to African Real Estate Market Analysis Opportunities and Challenges

Odunfa, V. O.; Fateye, T.B.; Adewusi, A.O.

doi:10.22624/aims/abmic2021p9

Cited by 2 publications

(2 citation statements)

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“…Furthermore, the application of big data analytics in marketing offers substantial potential for growth and improvement. Studies have shown that big data analytics can provide valuable insights in various industries, including airlines (Odunfa et al, 2021), real estate (Akhmetova & Nevskaya, 2020), and human resources management (Wamba et al, 2017). The use of predictive analytics, coupled with big data, can lead to better decision-making processes and improved performance in marketing strategies.…”

Section: Challenges and Opportunities For Using Predictive Analytics ...mentioning

confidence: 99%

Predictive Analytics in Marketing: Contribution to Marketing Performance

Muhajir

2024

PRODUCTIVITY

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This systematic literature review explores predictive analytics in marketing decision making and its relationship to key concepts in consumer behavior prediction. Drawing on established theories and empirical studies, this study explores the influence of customer-based brand equity, brand attachment, self-concept, perceived value, and other variables on consumer purchasing behavior and intentions. Additionally, this study investigates the impact of social psychology theory, destination image, sustainability in marketing, and marketing practices that align with consumer values on satisfaction, engagement, loyalty, and long-term relationships with brands. Apart from that, this study also tests the effectiveness of predictive marketing algorithms in improving marketing and sales performance. These findings emphasize the importance of integrating consumer-centric approaches and predictive analytics in forming successful marketing strategies and achieving desired results in today's competitive market landscape.

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Section: Challenges and Opportunities For Using Predictive Analytics ...mentioning

confidence: 99%

Predictive Analytics in Marketing: Contribution to Marketing Performance

Muhajir

2024

PRODUCTIVITY

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“…Despite the potential benefits, African businesses face several challenges and constraints in adopting AI. Resource limitations, including access to funding and technological infrastructure, have been identified as significant barriers to AI adoption (Odunfa et al, 2021). Moreover, skill gaps in AI expertise pose a challenge, as there is a shortage of professionals with the necessary AI skills in the African job market (Schoeman & Seymour, n.d.).…”

Section: African Trends In Ai Adoptionmentioning

confidence: 99%

AI in supply chain optimization: A comparative review of USA and African Trends

Akoh Atadoga,

Ogugua Chimezie Obi,

Femi Osasona

et al. 2024

Int. J. Sci. Res. Arch.

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The integration of Artificial Intelligence (AI) in supply chain management has emerged as a critical driver of efficiency and competitiveness in global markets. This paper provides a comparative review of AI trends in supply chain optimization between the United States and African regions, shedding light on the unique challenges and opportunities faced by each. In the United States, AI adoption in supply chain optimization has been robust, with a focus on predictive analytics, machine learning, and advanced automation technologies. American companies leverage AI to enhance demand forecasting, optimize inventory management, and streamline logistics processes. The integration of AI-driven solutions has allowed U.S. businesses to achieve higher accuracy in demand predictions, reduce lead times, and minimize operational costs. Furthermore, the use of AI algorithms in route optimization has significantly improved delivery efficiency, leading to enhanced customer satisfaction. Contrastingly, African countries are experiencing a more gradual but steadily increasing adoption of AI in supply chain optimization. Limited access to advanced technology infrastructure, coupled with resource constraints, has posed challenges for African businesses. However, innovative approaches are being explored, such as the use of mobile technologies and cloud-based solutions to overcome infrastructure limitations. AI applications in African supply chains focus on improving visibility, minimizing waste, and ensuring timely delivery. The continent's diverse supply chain landscape, encompassing agriculture, mining, and manufacturing, presents a unique set of challenges that AI aims to address. Both the United States and African nations recognize the potential of AI to transform supply chain management. While the U.S. is at the forefront of AI implementation, Africa is forging ahead with tailored solutions that align with its specific context. Collaboration and knowledge exchange between these regions could pave the way for a globalized approach to AI in supply chain optimization. This review underscores the importance of understanding regional nuances in adopting AI technologies, fostering collaboration for mutual benefit, and advancing the global evolution of AI-driven supply chain management.

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Application of Artificial Intelligence (AI) Approach to African Real Estate Market Analysis Opportunities and Challenges

Cited by 2 publications

References 1 publication

Predictive Analytics in Marketing: Contribution to Marketing Performance

Predictive Analytics in Marketing: Contribution to Marketing Performance

AI in supply chain optimization: A comparative review of USA and African Trends

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