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Competitive Price Intelligence and Assortment Optimization Platform

exposit.com

Retail

eCommerce

Consumer products & services

Challenges in Manual Competitor Price Monitoring

Manual competitor price tracking fails to detect short-term price dumping and rapid market changes, leading to reactive pricing strategies, potential customer churn, and missed opportunities for assortment optimization.

About the Client

Retail company specializing in dynamic pricing strategy optimization through competitive intelligence

Project Goals for Automated Price Intelligence

Automate competitor price monitoring with real-time data collection
Enable proactive pricing adjustments through market trend analysis
Implement accurate product-to-product comparison despite naming discrepancies
Provide actionable insights through structured data export capabilities

Core System Functionalities and Features

Protected-site web parsing with configurable frequency
Automated product nomenclature matching algorithm
Competitor price vs. assortment comparison dashboard
Scheduled data collection and database population
Multi-format data export (including .xlsx) for analysis

Technology Stack Requirements

Python

Scrapy

Selenium

Django

AP Scheduler

System Integration Needs

CRM systems
ERP platforms
Cloud storage solutions

Performance and Security Requirements

High-availability architecture for continuous monitoring
Anti-scraping bypass capabilities
Data processing scalability for large product catalogs
Secure authentication for administrator access

Expected Business Impact of Automated Price Monitoring

Reduction of manual monitoring operations by 80%, enabling data-driven pricing strategies that improve market competitiveness, customer retention, and assortment relevance through timely market response capabilities.