Upload store data and let our AI auto-select the best algorithm to forecast sales with high accuracy
Drop a pin on the map and get guided analysis through our built-in AI chatbot.
Always work with the latest insights, with our database refreshed every quarter.
Map customers to micro-market potential, spot clusters, gaps, and risks instantly.
We evaluate 300+ catchment and footfall signals with AI-driven models to accurately forecast store potential.
A modular AI engine incorporates client-specific data to show what impacts sales, identifies areas of improvement, and simulate “what-if” improvement scenarios.
With building-level granularity, Geomarketeer uncovers untapped demand and avoids over saturation.
Kentrix optimizes assortments by combining catchment demographics with footfall profiles, ensuring every outlet stocks what its consumers want.
With granular residential level targeting, you can maximize ROI on every media asset.
We compare market potential vs. actual performance to recommend network actions like when to close, consolidate, or relocate stores.
Using demographic overlap and distance-decay models, Geomarketeer precisely measures the extent of cannibalization across outlets.
By combining Geomarketeer with Kentrix Karma & Persona 360, brands can design, target, and roll out end-to-end hyperlocal campaigns.
Kentrix calculates Total Addressable Market down to building-level or 5-minute drivetime, factoring consumer density and retailer presence.
Plan new stores, optimize assortments, and benchmark performance across catchments to ensure every outlet drives growth.
Leverage hyperlocal consumer profiles to design sharper campaigns, improve targeting efficiency, and penetrate new markets faster.
Identify high-potential zones for EV charging stations, solar adoption, or utility infrastructure, aligned with local demand and household profiles.
F&B brands use it to predict sales demand, avoid store cannibalization, and plan outlet launches based on local consumption patterns.
Identify the best dark store locations to cut delivery times, boost sales, optimize inventory and maximize last-mile efficiency.
Plan OOH campaigns with micro-market precision, measure audiences by asset, and allocate budgets where ROI is highest.
Banks use location intelligence to identify high-potential areas for new branches and align financial products with local customer needs.
Use building-level TAM calculations and whitespace analysis to identify high-potential zones for product launches and distribution expansion.
Here’s a simple, 3-step process to use Geomarketeer:
Back every decision with AI-powered intelligence and unlock your next growth curve.
Yes. Geomarketeer is built for collaboration. Multiple users can log in at the same time, run analyses, and share reports seamlessly. Teams across strategy, marketing, real estate, and finance can all derive value from the platform.
When clients upload their store or sales data, it is stored securely and used only within their account. The AI engine trains models without exposing sensitive information, ensuring compliance with enterprise-grade security protocols.
Kentrix updates the platform continuously, with quarterly data refreshes and regular feature releases. Clients often see new AI models, improved visualization layers, and integrations being added every few months. Feedback from existing users plays a key role in shaping these updates.
Yes. Clients can securely upload their own store and sales data, which the AI engine uses to train models specific to their brand. This means predictions are not generic, but tailored to your business reality, ensuring maximum relevance and accuracy.
Yes, the database covers the entire country at building level precision. The platform scales seamlessly from a single micro-market to a nationwide expansion. Brands can start with one city and progressively expand across states, without losing accuracy at the hyperlocal level.