Customer Analytics is a pioneer in the field of retail analytics. With more than 25 years of experience working with retail clients, we understand business needs. We also know how to use state-of-the-art analytics techniques to turn transactional and demographic data into valuable insights for retailers, both B2C and B2B. This experience, and the wisdom gained from it, have now been packaged into a cloud-based solution RETAIL INTELLIGENCE 360™. With this solution, you can get the benefits of analytics without needing to hire an army of data scientists or buying expensive BI and analytics tools.


RETAIL INTELLIGENCE 360 is a package of predefined analytical modules across three dimensions—Store Intelligence, Market
Intelligence and Customer Intelligence—to give you a 360° view of your business and operating landscape.

Retail Intelligence 360 helps you answer questions you've struggled to get answers to, such as

  • What is the market potential for my products?
  • What does my trade area look like? What is my market penetration and where should I focus my sales and marketing efforts?
  • Who is the best supplier for an item?
  • How are my stores performing? What are the key metrics that stores need to improve on?

With RETAIL INTELLIGENCE 360, the thinking is already done for you

  • It starts with important business questions
  • It takes your data and enhances it with appropriate external data to give you a broader perspective
  • It runs the relevant analytical and modeling processes and generates a standardized result set
  • Results are presented in a dashboard
  • Finally, it highlights/summarizes key insights for easy interpretation

Additionally, with RETAIL INTELLIGENCE 360

  • You don't have to pay for hardware, software, licenses
  • There are no onerous one-sided contracts

While the RETAIL INTELLIGENCE 360 package provides the core analytics required by a retail business, it can easily be customized to meet the specific need of your business.

For more information or to schedule a consultation, please contact


Market Intelligence

answers business questions such as

  • What is the market potential for my products?
  • Which geographies and demographic groups have highest market potential?
  • What is my market penetration?
  • Which are the 'Grow' areas with high potential and low penetration, where I should focus my sales and marketing efforts?
  • What does my competitive landscape look like?
Market Potential
Trade Area Zip Assessment
Competitive Landscape
Population Estimates

Store Intelligence

answers business questions such as
  • How are each of my stores performing? Are they meeting their key goals?
  • Which areas are problem areas/areas of focus for each store?
  • What products are selling/not selling? What are the trends in different geographies?
Store Diagnostics
Sales Overview
Store Performance Report
Member vs Group Report

Customer Intelligence

answers business questions such as
  • What is the profile of my buying customers?
  • Based on my sales, what do my acquisition and retention look like?
  • Which customers are about to lapse?
  • How should I target different groups of customers to optimize my sales?
Customer Clustering & Segmentation
Demographic Profile
Customer Characteristics Analysis
State Of The House File


With Retail Intelligence 360, it’s easy to get started. You can get insights simply by sharing your locations and products of interest – we do the rest!

As you share more data you can get an even deeper and personalized view into your market, customers, and stores as outlined below.

Reports and insights you can get from different data

Product Mix

Market Potential

Market potential by small area geography and demographics for better targeting.

Operating Locations

Trade Area Market Potential

Geographic area customers are coming from, business potential of that area to optimize marketing efforts.

Competitive Landscape

Competitor locations in the trade area

Potential Site Location Analysis

Evaluation of potential store locations based on market potential, competition etc.

Sales Data

Sales Summary

What is selling/not selling, where it is selling, not selling, sales trends etc.

Product Attachment

Given a base product purchased, what percent of the time is a specific item purchased along with it ?

Market Basket

Which combinations of two products purchased on the same order occur more frequently than random, to create ‘market baskets’ or bundled product offers

Product Association

Which combinations of two products purchased by the same customer in a given time period occur more frequently than random, i.e., product associations

Sales Data By Locations

Trade Area Analysis By Location

Geographic area its customers are coming from and business potential, to optimize marketing efforts.

Market Potential vs Penetration – Zip Assessment

Growth areas (zips) where sales efforts should be concentrated.

Store Consolidation

Opportunities for consolidation through assessment of the impact of closing one or more stores.

Store Diagnostics

How stores are doing on pre-defined metrics, and problem areas in each store.

Product Assortment

Optimal product assortment on the shop floor to maximize sales.

Sales And Customer Data

Customer Clustering

Segments of customers, to get a better understanding of the customer base and purchase behavior.

Demographic Profile

Demographic profile of customers to understand, in turn, buying motives and behaviors and formulate sales/marketing strategies.

Customer Characteristics Analysis

Comparison of customer demographics at different levels to understand who buys what/how/where etc. - for example profile of those buying online vs instore, Brand X vs Brand Y etc.

Store KPI Goals

Store Performance Analysis

Comparison of store performance vs KPIs., Overview of how far stores are meeting goals overall and which stores need improvement, in which areas.

Online Customer Browsing Data

Customer Browsing Behavior

Sequence Analysis helps understand customer browsing behavior by looking at popular entry points into the portal and navigation paths of customers.

Campaign Data

Campaign Effectiveness Analysis

Impact of campaigns on sales and their ROI

Customer Feedback Data

Text Analysis To Identify Complaint Areas, Products With Most Issues etc.

Analysis of customer feedback on products/services to identify what is working well/not working well and trends over time

Purchase Data

Supplier Scorecard

Supplier profile and performance, who are the best suppliers for a particular product, or for urgent requests etc.

Production Data

Operator Scorecard

Assessment of the efficiency and quality of operators on the manufacturing shop floor and identification of ‘masters' vs ‘learners’. Measure performance, check attrition, reward top performers and identify those in need of training to get better efficiency and quality

Optimum Production Run Size

In a manufacturing environment, determine the optimal size of a production run to minimize costs

Inventory Data

Demand Planning, Forecast Excess/Shortage Of Inventory, Volatile SKUs

Better demand planning and inventory management to minimize lost sales due to shortage of inventory and inventory holding costs