BVT provides location intelligence and mapping software that utilizes machine learning for predictive analytics, enabling businesses to visualize and analyze vast datasets, including millions of Points of Interest and behavioral data from mobile devices. This technology enhances decision-making in areas such as site selection, risk management, and logistics by delivering actionable insights based on real-time data.
Funding
Funding not disclosed
Founders
Product
Problem
Many businesses struggle to effectively visualize and analyze location-based data, hindering their ability to make informed decisions regarding site selection, risk management, and field operations. Traditional methods often involve complex and time-consuming processes, making it difficult to extract actionable insights from vast datasets.
Solution
Bhumi Varta Technology (BVT) provides location intelligence and mapping software that leverages machine learning to deliver predictive analytics and geospatial solutions. The LOKASI platform enables businesses to visualize and analyze extensive datasets, including millions of Points of Interest (POI) and behavioral data derived from mobile devices. BVT offers a suite of products, including LOKASI Intelligence, LOKASI Enterprise, LOKASI Insight, and LOKASI Targetin, each designed to address specific business needs, from strategic site selection to field worker optimization. By integrating geospatial data with advanced analytics, BVT empowers organizations to make data-driven decisions, optimize operations, and achieve sustainable growth.
Target Audience
BVT's primary customers include businesses across various industries, such as banking and financial services, food and beverage, FMCG, government, logistics, telco, and retail, seeking to enhance their location-based decision-making processes.
Features
- Location Intelligence SaaS platform with subscription-based access
- Machine learning-driven predictive analytics for informed decision-making
- Access to over 6 million Points of Interest (POI) in Indonesia
- Integration of thematic data (age, gender, religion, etc.) and behavioral data from 138 million mobile devices
- Site profiling for analyzing area characteristics, demographics, and foot traffic
- Grid analysis for optimal location recommendations and expansion strategies
- Data Explorer for identifying relevant location data, including socio-economic status and natural disaster information
- Customizable spatial solutions for mapping, analyzing, storing, and sharing geospatial data
- Real-time activity monitoring and resource allocation for field worker optimization
- Geo-tagging for accurate visit information and efficient time tracking