Assets, Logistics, and Business (ALB)
Decisions in boardrooms shape the future of the business itself. Spatial-data-driven decisions are needed to guide businesses toward stability and resilience by optimizing asset allocation, enhancing logistics strategies, and building growth where it’s needed most
Business Asset and Logistics Optimization
Customer Segments Analytics
Marketing Optimization
Where a business is located can make or break its success. Using geospatial analytics, we identify prime locations based on market trends, demographics, and accessibility. By analyzing asset distribution and optimizing logistics networks, we help businesses streamline operations and enhance supply chain efficiency. This empowers businesses to expand strategically and reach customers effectively, driving growth and innovation.
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Pedagang Kaki Lima (PKL) sering menghadapi fluktuasi pendapatan akibat keterbatasan informasi lokasi strategis. Melalui pendekatan GeoIntelligence, Tim GISACT Social Project menganalisis aspek spasial dan temporal rute penjualan pedagang keliling roti di Kota Bandung untuk mengidentifikasi hotspot penjualan dan merekomendasikan rute yang lebih efektif.
Analisis spasial ekosistem blue carbon di kawasan Asia Pasifik menggunakan data satelit multitemporal dan pemodelan machine learning. Kajian ini mengidentifikasi distribusi mangrove, seagrass, dan saltmarsh, memetakan hotspot tekanan ekologis, serta menentukan wilayah prioritas konservasi berbasis perubahan tekanan lingkungan dari waktu ke waktu.
Kajian pemodelan spasial risiko malaria di Indonesia menggunakan pendekatan machine learning dan deep learning berbasis data lingkungan dan sosioekonomi. Analisis ini menyoroti wilayah berisiko tinggi, ketimpangan akses layanan kesehatan, serta prioritas penanganan malaria berbasis data spasial.