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E-commerce & Quick Commerce
Place dark stores that hit SLAs, lower acquisition cost, and turn first orders into repeat buyers.
Place dark stores that hit SLAs, lower acquisition cost, and turn first orders into repeat buyers.
920M+
Indian consumer profiles — order density, category demand and AOV signals at street level
↑ Repeat
Repeat-buyer propensity scoring from the first order to prioritise retention investment early
↓ CAC
High-intent shopper targeting via LSI® to reduce paid acquisition cost per order
The Challenge Today
Dark store placement errors break unit economics
Dark store locations chosen without order-density data or SLA-achievability analysis directly break unit economics — too few orders per radius, too high a delivery cost per slot.
Paid acquisition costs climb for the same shopper pool
CAC keeps rising as performance channels compete for the same high-intent shopper pool — without precision targeting, spend scales but incremental reach does not.
Low first-order-to-repeat conversion
Most platforms cannot predict which first-time buyers will convert to repeat customers — so retention budgets are spread evenly rather than focused on the cohort most likely to return.
Category demand treated as uniform
Category demand varies street-to-street, but dark store assortment planning treats it as uniform — leading to stockouts in high-demand pockets and excess inventory elsewhere.
How Kentrix Helps
The Kentrix Growth Loop for E-commerce & Quick Commerce
Place Dark Stores Right
SLA achievability & order-density siting for the right delivery radius
Acquire High-Intent Shoppers
LSI® shopper targeting & lookalikes from high-frequency, high-AOV customers
Turn First Orders into Repeat Buyers
Repeat-buyer propensity scoring, CLV tiering & personalised recommendations
Outreach & Network Optimization
- Dark store siting for SLA achievability and order density
- Delivery-radius mapping to right-size network density
- Hyperlocal category-mix planning per store
01
Customer Acquisition
- High-intent shopper targeting via LSI® segments
- Lookalikes from high-frequency, high-AOV customers
- Hyperlocal activation for new dark store launches
02
Customer Lifecycle Value
- Repeat-buyer propensity scoring from the first order
- CLV-based tiering for retention and loyalty perks
- Enrichment for personalised recommendations
03
Use Cases
GeoMarketeer
Dark Store Siting for SLA Achievability
Score candidate dark store locations by order-density potential, delivery-radius SLA achievability and category demand concentration — so infrastructure investment lands where unit economics work.
GeoMarketeer
Hyperlocal Category-Mix Planning
Map category demand street-by-street within each dark store's delivery radius — so assortment decisions reflect the actual consumption profile of the catchment, not a national average.
Persona 360
High-Intent Shopper Targeting
Reach consumers with the income, lifestyle and purchase-frequency profile to become high-AOV, high-frequency customers via LSI® — not just the easiest audience to find on performance channels.
Persona 360
New Dark Store Launch Activation
Run hyperlocal acquisition campaigns around new dark store openings using lookalikes from high-value customers at comparable locations — seeding the right cohort from day one.
Karma
First-Order Repeat-Buyer Scoring
Score every new customer's repeat-buyer probability from their first order using enriched household signals — so retention spend concentrates on the cohort most likely to return, not the whole base.
Karma
CLV Tiering & Personalised Retention
Segment the active buyer base by enriched lifetime value potential and deliver personalised loyalty perks and recommendations calibrated to each tier — protecting revenue from the highest-value cohort.
Case Studies
Quick Commerce
4.7X
Growth in Dark Store Sales with Micro-Market Targeting
Ready to Start
One data foundation.
Every E-commerce & Q-Commerce growth lever.
From dark store siting to first-order repeat-buyer scoring, Kentrix connects 920M+ Indian consumer profiles to every decision that drives growth in E-commerce and Quick Commerce.
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