Gini is an AI‑driven geospatial analytics platform that consolidates a company's internal data with extensive public and private location datasets to deliver actionable insights such as catchment analysis, sales forecasts, and cannibalisation risk. Users can explore these insights on interactive maps, receive automated alerts, and create site‑specific action plans, all through a web‑based interface that requires no specialized technical skills.
Funding
$30.2M raised to dateRaised 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.
1OFounders
Product
Problem
Companies in retail, real estate, and FMCG often make location decisions based on fragmented data sources, requiring manual integration and analysis that is time‑consuming and prone to error. This limits their ability to quickly assess market potential, optimize store networks, and respond to changing consumer behavior.
Solution
Gini is an AI‑driven geospatial analytics platform that centralises internal business data and enriches it with premium public and private location datasets. The platform applies data bundling, cross‑referencing, and machine‑learning models to generate operable insights such as catchment analysis, sales forecasts, and cannibalisation risk. Users can visualise these insights on interactive maps, receive automated alerts about opportunities or issues, and create site‑specific action plans that can be rolled out across the entire location portfolio. By delivering context‑aware intelligence in a web‑based interface, Gini enables faster, data‑backed decisions without requiring specialized technical skills.
Target Audience
Primary users are location managers, market analysts, and strategic planners in retail chains, real‑estate developers, and FMCG companies who need to optimise existing sites and evaluate new locations.
Features
- Seamless integration of company data with extensive public sociodemographic and economic datasets, plus private sources like pedestrian traffic and transaction data
- AI‑enhanced analytics including catchment area modelling, sales forecasting, and cannibalisation simulation
- Interactive map visualisations that allow users to explore consumer flows, territory performance, and available properties
- Automated alerts that notify teams of emerging opportunities or risks across the network
- Action‑plan workflow tools for tailoring site‑specific strategies, assigning responsibilities, and tracking execution
- Cloud‑based platform accessible via web browser, requiring no on‑premise installation or advanced technical expertise