MapZot.AI utilizes proprietary algorithms and big data analytics to provide real-time insights for site selection, market planning, and revenue forecasting for over 14,000 retail chains. The platform enables businesses to identify optimal real estate locations and target customers with over 90% confidence, addressing the challenges of inefficient site selection and market analysis in the built environment.
Funding
Funding not disclosed
Founders
Product
Problem
Selecting optimal locations for retail chains and other businesses is challenging due to the complexity of market analysis, the volume of data required, and the need for accurate revenue forecasting. Traditional methods often result in inefficient site selection, missed opportunities, and inaccurate predictions, leading to suboptimal performance.
Solution
MapZot.AI is a location analytics platform that leverages proprietary algorithms and big data to provide real-time insights for site selection, market planning, and revenue forecasting. The platform analyzes billions of mobile pings, parcel data, building footprints, and transaction data to identify ideal real estate locations and target customers with a high degree of confidence. MapZot.AI's trained models pinpoint the best locations for over 14,000 chains, enabling businesses to discover missed opportunities at the local and national level. The platform uses computer vision and store cannibalization models to find developable parcels and identify tenants for vacant retail spaces.
Target Audience
MapZot.AI targets retail chains, commercial real estate firms, restaurants, CPG companies, and other businesses seeking data-driven insights for site selection, market analysis, and expansion planning.
Features
- AI-powered site selection using generative AI for real estate analysis
- Real-time monitoring of local and national chains to predict optimal locations
- Analysis of over 2 billion foot traffic insights and 3 billion parcel information data points
- Algorithms for parcel identification, computer vision, and store cannibalization modeling
- Predictive analytics for sales forecasting and revenue optimization
- Tools for white space analysis to identify underserved markets
- API integration for seamless data integration into existing systems
- Mobilytics platform to digest store-level insights and reveal top brands and retail trends