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Spatial Data as a Strategic Asset in AI-Driven Business Expansion

Saidislom RashidovShokhjakhon AkhmedovUrgench State University, UzbekistanMunir AhmadSurvey of Pakistan, PakistanKhayrilla KurbonovTermez University of Economics and Service, Uzbekistan

2026ng

ABI

Annotatsiya

This chapter examines how spatial data has evolved into a strategic asset that drives AI-powered business expansion. By integrating geospatial intelligence with machine learning and deep learning models, organizations can transform raw location information, mobility patterns, and environmental data into actionable insights. Applications span site selection, demand forecasting, hyperlocal marketing, and operational optimization across sectors such as retail, logistics, real estate, and telecom. The chapter also explores best practices, emerging trends like AI-augmented analytics and smart cities, and highlights how spatial intelligence delivers sustainable competitive advantage.

Mavzular

Human Mobility and Location-Based Analysis Big Data and Business Intelligence Urban and Freight Transport Logistics

Identifikatorlar

DOI: 10.4018/979-8-3373-4601-4.ch007

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