Co-Founder & CEO
Since Sep 2018 · 8 yrs 2 mos
Profile summary: Amazon SW Eng., Stanford MS CS
Locate
Locate provides AI-integrated real estate services for multi-unit retail brands, using machine learning and geospatial data to rank markets and forecast store revenue. The platform profiles a brand's best-performing stores, scores candidate sites, and helps advisors source locations and negotiate leases. Over 200 brands use Locate to open locations that outperform the market by 15%.
- Property Technology
- Artificial Intelligence
- Retail Technology
- Data & Analytics
- Software Only
- Enterprise Software
Updated 1 month ago
Funding
Raised to date
$4.1MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Retail brands expanding their physical footprints often rely on manual, intuition-driven site selection processes that fail to account for location-specific performance driversholistic. This leads to suboptimal store placements, elevated risk of underperformance, and missed expansion opportunities in high-potential markets.
Solution
Locate offers an AI-native retail real estate platform that combines machine learning with expert brokerage services. The platform analyzes a brand's existing stores against a proprietary data lake to identify what drives performance and what risk factors to watch for. It ranks every U.S. market by how many locations it can support and what each location is projected to earn, scores candidate sites against brand-specific criteria, and forecasts year-one revenue using analog stores. Locate's advisors then source sites and negotiate leases, integrating data-driven insights throughout the entire site selection process from market identification to lease signing. This approach helps brands open locations that outperform the market by 15%.
Target Audience
Multi-unit retail brands seeking to expand their physical footprint, as well as landlords and brokers looking for data-driven site selection and lease negotiation services.
Features
- AI models that profile a brand's best-performing stores and identify performance drivers and risk factors
- Market ranking across the entire U.S. based on revenue potential and number of sites each market can support
- Site scoring against brand-specific criteria with year-one revenue forecasts using analog store comparisons
- Cannibalization risk analysis to avoid new locations cannibalizing existing store sales
- Site pipeline management dashboard tracking deals across stages from new to tour, LOI, and negotiation
- Dedicated real estate advisors who source sites and negotiate leases, supported by 200+ local partners
- Integration of mobile device data to identify consumer density and brand affinity in potential locations