We help business development teams identify profitable locations and reduce scouting time for new stores using our hyperlocal data-driven insights on customer demographics, footfall, and competitor activity.
Get in depth knowledge about any location and make site decisions with confidence
Our AI powered location tech help you narrow down from 100s of locations to the highest ROI locations
We score each locality, pincode, mall, street on 100s of parameters such as:
Narrow down from 100s of potential locations using our location attributes to top locations suitable for your business. We also consider whitespaces in your network to suggest top location for new store
Predict the revenue potential and ROI of each location using ML that considers 100s of attributes of the catchment area including
Use our Verified listings of available properties in each shortlisted locality, mall etc to find the most suitable property for your requirement
Opening a new store is a growth-oriented strategic decision requiring capital investment
Bad decisions have a very high cost, poor ROI, lost opportunity costs, and eventually lower annual brand P&L at market level
Many retailers have been struggling with underperforming stores and they routinely shut down 6-10% of stores every year
The problem is aggravated by online retailers, who are able to use web-analytics to target their customer more effectively
Consumer buying power, interests, behaviors, demographics, and local travel patterns change over time
So does the competition at local level
Information presented by real estate consultants is static and does not consider local competition, visitation and travel patterns
Public sources of data are outdated
We offer end to end solution customized to your needs. What makes us unique is our ability to identify and use hyperlocal nuances in all insights, analytics, projections and recommendations.
Our team has decades of experience in building complex AI/ML-driven solutions for location analytics, pricing, promotion, assortment, and demand forecasting in the retail and restaurants industry
Our founders have been instrumental in building a $300M real estate startup and scaling the business to ~10M users in India using technology. We understand challenges in finding a good real state property and how location data can solve those challenges.
Developed a next-generation assortment optimization system to select the right mix of merchandise at each store. The system optimizes several business KPIs using AI/ML models that predict sales from the descriptions of the clothing. A limited pilot during COVID improved in-store sales by 7%.
Share your contact details with us to setup a product demo. We will connect with you in a day.
We promise not to spam you.