Alternative Data for Retail

The Retail Mantra has always been "Location, Location & Location". Especially in today's world of omni-channel retail, the only hope of survival is to run a business driven by location intelligence.

Site Selection & Optimization

Stores
Dark Stores
Warehouses
Cloud Kitchens

Quantitative process to map micro market parameters, in order to understand socio-economic behaviour

Identify sales potential of a given location

Plan inventory for new & existing stores

Hyperlocal Marketing

Demography Mapping

Digital visualisation of any location, specific site on the platform

Study competition for clear benchmarking

Identify trends of socio economic behaviour, change in footfall, change in spends and more

Site Selection & Optimization

Data Parameters

Footfall

Footfall

Affluence

Affluence

Spending Behaviour

Spending Behaviour

Competitive Density

Competitive Density

Target Audience

Target Audience

1k+

Data Parameters

Customer Acquisition

Geofencing
Increase in-store walk-ins
Online Purchases

Companies have access to about 0.01% of the actual on-ground data and tend to make important decisions based on Intuition rather than Intelligence.

Determine Potential to benchmark performance & understand market gaps

Identify new business opportunities

Plan Resources & Hyperlocal Campaigns based on opportunity

Create custom perimeter around the store such as 2km and set up hyperlocal marketing & analysis

Customer Acquistion

Data Parameters

Demographic Details

Demographic Details

Spending Pattern

Spending Pattern

Lifestyle

Lifestyle

Income Class

Income Class

1k+

Data Parameters

Customer Profiling

Fraud Investigation
Cross-Selling
Personalised Marketing

Unless you are a google or facebook, your business does not have access to drilled down data about the customers or related insights that can drive key business projections and decisions.

Geocode residential address & business address

Fetch Location Scorecards of the address coordinates

Segment Customers based on different factors

Derive Actionable Insights based on final thresholds

Customer Profiling

Data Parameters

Income Class

Income Class

Lifestyle

Lifestyle

Spending Trends

Spending Trends

Purchase Behaviour

Purchase Behaviour

1k+

Data Parameters

"Working with Data Sutram has been a one-of-a-kind experience. We have achieved a higher return on investment by optimizing resources & hyperlocal decision-making. The cost to pick a store location has reduced substantially, thanks to accurate data from their platform."

Zahid Ali

Zahid Ali

Head of New Store Opening & Project, Wellness Forever

SME Futures in conversation with Rajit Bhattacharya

July 23, 2022

SME Futures in conversation with Rajit Bhattacharya

Data, when collected, is unstructured, unrefined and layered and needs to be tagged so that meaningful insights can be gleaned from it. Data scientists are the players who are taking this game to the next level by providing valuable and structured data to companies so that they can enhance their businesses. SME Futures spoke to Rajit Bhattacharya, CEO and Co-Founder of Data Sutram to unravel the multiple aspects of this data business.

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Top 3 ways of Merchant Onboarding by Financial Institutions

August 17, 2021

Top 3 ways of Merchant Onboarding by Financial Institutions

With an increasing adoption rate of digital payment services, brick and mortar store payments cease to function traditionally!

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Sharma Ji’s Store- The Path to Revival of Indian Economy

August 8, 2021

Sharma Ji’s Store- The Path to Revival of Indian Economy

The backbone of India's retail economy lies in the kirana stores- but what's next for them?

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Forbes publishes its 30 under 30 list featuring Data Sutram co-founders