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Cloud-Based Real-Time Business Analytics Platform for Retail Chain

nix-united.com

Retail

Consumer products & services

Food & Beverage

Challenges with Manual Analytics & Marketing

The client experienced inefficiencies and inaccuracies with manual processing of key business metrics (margin indicators, expenses, stock balances). They also lacked the ability to effectively personalize marketing campaigns and leverage customer purchase history for targeted offers. This resulted in missed opportunities for revenue growth and inefficient resource allocation.

About the Client

A large, nationwide grocery store chain operating across multiple countries, seeking to leverage data analytics for improved operational efficiency, marketing effectiveness, and customer insights.

Project Goals

Establish a real-time data pipeline for processing POS data.
Automate the generation of comprehensive KPI reports.
Enable personalized remarketing campaigns based on customer purchase history.
Improve operational efficiency through data-driven insights.
Enhance customer engagement and satisfaction through targeted offers.

System Functionality

Real-time data ingestion from POS systems.
Data transformation and cleansing.
Automated report generation (daily, weekly, monthly).
Customizable dashboard creation and visualization.
Customer segmentation and profiling.
Personalized remarketing campaign management.
Alerting system for critical KPIs (e.g., stock thresholds).

Technology Preferences

Amazon Web Services (AWS)

Kinesis Data Streams (KDS)

Elastic MapReduce (EMR) with Apache Spark

Snowflake

Simple Notification Service (SNS)

Simple Queue Service (SQS)

Snowpipe

External System Integrations

POS systems
Customer Relationship Management (CRM) system (for customer data)
Marketing Automation Platform (for campaign deployment)

Non-Functional Requirements

Scalability to handle increasing data volumes.
High availability and reliability.
Real-time data processing capabilities.
Data security and privacy compliance.
Performance optimization for report generation.

Expected Business Value

This project is expected to provide the client with valuable business insights, leading to improved operational efficiency, increased revenue through targeted marketing, enhanced customer loyalty, and better decision-making capabilities. The foundation laid by this solution will enable future expansion into advanced analytics using AI and machine learning.