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Development of an Internal Retail Market Intelligence Platform
  1. case
  2. Development of an Internal Retail Market Intelligence Platform

Development of an Internal Retail Market Intelligence Platform

magneticpoint.com
Retail
eCommerce

Challenges in Retail Market Data Management and Strategic Decision-Making

The client faces difficulties in managing extensive product and pricing data across numerous retail outlets and online stores. They lack a centralized platform for insightful analysis of product categories, promotional effectiveness, and competitive pricing, hindering strategic decisions, negotiation leverage, and market positioning.

About the Client

A medium to large retail chain or online marketplace seeking to optimize product pricing, promotional activities, and competitive positioning through advanced data analysis and reporting tools.

Goals for Enhancing Retail Data Insights and Strategic Operations

  • Create a comprehensive analytics platform capable of supporting data exploration and reporting for over 400,000 products with unique identifiers.
  • Enable analysis of product categories, pricing, promotional activities, and retail chain performance to inform strategic decisions.
  • Support sales, marketing, and analytical teams in optimizing profits, negotiating with retail partners, and planning for new product launches.
  • Implement actionable dashboards that visualize key performance metrics related to pricing, promotions, and market competitiveness.
  • Facilitate real-time data updates and scalable infrastructure to accommodate growing data volumes and complexity.

Core Functional Features for Retail Market Analytics Platform

  • Dashboard Interface for data exploration with interactive visualizations
  • Analysis modules for product prices, categories, and promotional flyers
  • Reporting capabilities for retail chains and online stores
  • System support for managing over 400,000 products and 30,000+ promotional prices monthly
  • Search engine integration for fast querying of large datasets
  • User access controls and role-based permissions for sales, marketing, and analytical teams
  • Automated data updates and scheduled reporting functions

Technology Stack and Architectural Preferences

Web technologies: HTML / CSS / Javascript
Backend Framework: PHP with Laravel
Database: MySQL
Search Engine: FactFinder or equivalent
Content Management System for flexible content updates

External System Integrations Needed

  • Data feeds from retail chains and online stores for promotional prices and product details
  • API integrations with existing sales and marketing platforms for synchronized data updates
  • Search engine integration for optimized large dataset querying

Critical Non-Functional System Requirements

  • Scalable architecture to support over 400,000 products and millions of data points
  • High performance with fast query response times (under 2 seconds per query)
  • Data security protocols to protect sensitive pricing and sales data
  • System reliability with maximum uptime of 99.9%
  • User accessibility across multiple devices and browsers

Projected Business Impact of the Retail Analytics Platform

The implementation of this analytics platform aims to enable the client to analyze over 400,000 products, monitor more than 30,000 promotional prices monthly, and manage insights across over 350 business entities. This will facilitate improved pricing strategies, more effective negotiations, enhanced promotional planning, and optimized product positioning—leading to increased profitability and competitive advantage in the retail market.

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