About Client

The client is a leading FMCG brand serving 6 billion people globally. The company markets its products in over 200 countries and territories worldwide and It is a $15 billion global company serving.

Challenges

Objective to analyze the items purchased by the customer and establish an associative relationship between the item purchased. It is used to profile a subset of transactions, identify patterns and to arrive at some business rules. The associative rules can be used to increase customer loyalty, increase sales and increase profits.  Analyze the POS data and recommended changes to the usefulness of data for the following:

Improve sales by identifying sets of products sold together and reorganizing the store layout to keep such products close to each other

Improve the efficiency of promotions by promoting one set of products and have increases sales for the non-promoted products

Cross-selling – Up-selling of new products to the right set of customers

Our Solution

Diagnosing the challenges of the client, SPEC INDIA designed and developed a Business Intelligence and Analytics solution based on Tableau and R Studio, to understand the customer purchase behavior.

After analyzing the historical data, we underwent the following activities, as a part of the solution:

Explored the customer POS data of multiple retail stores

Build a dimensional model and consolidate the 5 years of historical data

Detailed categorization of sales transactions based on relevant data

Develop ETL Jobs for seamless integration and applied data cleansing

Build a Model and applied on training data sets

Aligned observations with business intuitions

Re-Build a Market Basket for a group based on age, gender, particular family type, time-specific

Predictive analytics dashboard representing data in a visual and interactive manner to identify customer buying patterns

Affinity analysis of sales patterns for product categories, subcategories, and items

Cutting edge machine learning algorithm to optimize marketing strategy in real-time

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Technologies & Tools

Tableau-Logo
Tableau
MS-SQL-Server-Logo
MySQL
Oracle-Logo
Oracle
R-technology-icon
R Programming
Knitr

Our Process

Research_icon
  Research/Analysis

Our detailed and accurate research , analysis, and refinement leads to a comprehensive study that describes the requirements, functions, and roles in a transparent manner.

Design_icon
  Design

We have a team of creative design experts who are apt at producing sleek designs of the system components with modernized layouts.

Code_icon
  Coding

Our programmers are well versed with latest programming languages, tools, and techniques to effectively interpret the analysis and design into code.

Testing
  Testing

Quality is at the helm of our projects. We leave no stone unturned in ensuring superior excellence and assurance in all our solutions and services.

Launch_icon
  Launch

We have a well-defined, robust, and secure launch criteria that offers us a successful implementation clubbed with detailed testing, customer acceptance and satisfaction.

Business Benefits

The data-driven decision helped the business to add the recommendation to a customer during purchase for products

The promotion offered on non-pick days helped to improve the operational efficiency

Build a sales strategy based on customer type for up-selling and cross-selling

Optimize the layout to put the frequently purchased items together

Targeted and optimized marketing campaigns and messages

Well-defined and augmented promotional events

Recommendation engines

New product placements

Effective cross-selling

Optimized inventory layout and maintenance

Store planograms, segmentations

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