Price Intelligence Platform
Centralized Platform for Managing and Analyzing Market Prices
A CRM designed to consolidate price data scraping, storage, and analysis for company and competitor services.
100K+
Prices Analyzed
20+
Data Sources
Real-time
Update Frequency
Daily
Insights Generated
Data Sources
Multiple
Pricing Data
Real-time
Project Overview
Overview Project Background
This product serves as a centralized system for scraping and analyzing prices across company and competitor services.
It streamlines processes by consolidating data collection, analysis, and management in one tool.
The CRM targets administrators and analysts to provide an efficient workflow for price monitoring.
INDUSTRY
Travel & Transportation
PLATFORM
Web Application
TYPE
CRM
The Challenge
Challenges
Key Issues Addressed
The project focused on improving data scraping performance, integrating various service components, and enhancing user experience for admins and analysts.
01
Performance Bottlenecks
Price scraping processes were slow and inconsistent, limiting timely analysis.
02
Service Integration
Connecting multiple scraping and management services into a cohesive platform was difficult.
03
Complex User Flows
Admins and analysts required an intuitive workflow to manage data and perform analysis effectively.
Product Experience
Product Experience
User Interaction
The CRM provides different pages tailored for data scraping, information management, and analysis to support user roles.
Platform
Main Dashboard
Live System
Time to Insight
Instant
Manual Work
Reduced
Decision Speed
Faster
Data Accuracy
High
Scraping Management
Tools to configure and monitor price scraping from various services.
Info Pages
Centralized pages for managing collected data and service information.
Analysis Pages
Pages focused on analyzing scraped data to support competitive pricing decisions.
Core Features
Core Features
Functionality
The CRM includes capabilities for data scraping, information management, analysis, and administrative controls.
Price Scraping Automation
Automated collection of pricing data from multiple service sources.
Information Management
Centralized pages for viewing and editing scraped data.
Data Analysis Tools
Functions to analyze and compare pricing data across services.
User Role Administration
Admin and analyst roles with appropriate access and workflows.
Our Approach
Approach
Development Focus
Focused on improving system performance, stabilizing data processing, and building a structured interface for efficient price analysis.
01
Performance Optimization
The system was optimized to handle large volumes of scraped data with improved processing speed and reduced latency.
Deliverables
Data processing optimization
Query performance improvements
Reduced response time
Handling large datasets efficiently
02
System Integration
Multiple services were connected into a unified system to ensure consistent data flow and reliable price aggregation.
Deliverables
Integration of scraping services
Data synchronization across modules
Unified data structure
Improved system stability
03
Analysis Interface Design
A structured interface was developed to simplify data review, comparison, and decision-making for admins and analysts.
Deliverables
Analysis pages for price comparison
Data filtering and sorting tools
Improved usability for analysts
Admin management interface
Development Timeline
Development Timeline
Project Phases
The project followed a structured Scrum process, moving from data architecture design to system integration and performance optimization.
Phase 1
Discovery
Requirements were defined around pricing data collection and analysis workflows.
Core data structure for scraped prices and entities was designed upfront.
System architecture and integration approach were planned.
Focus was placed on building a scalable foundation for data processing.
Phase 2
Implementation
Core CRM functionality was developed for managing pricing data.
Scraping services were implemented to automate data collection.
Data processing logic was built to structure raw data into usable formats.
Initial interfaces for admins and analysts were created.
Phase 3
Integration
Multiple scraping and data services were connected into a unified system.
Data flows were synchronized across modules for consistency.
External services were integrated to ensure stable data collection.
System interactions were optimized for reliability.
Phase 4
Testing
System performance was tested under increasing data volumes.
Data accuracy and consistency were validated.
Edge cases in scraping and processing were handled.
UI improvements were introduced to enhance usability.
Phase 5
Release
The system was deployed for internal use.
Initial users validated workflows and analysis capabilities.
Feedback was collected and used for further improvements.
The platform became a stable tool for pricing analysis.
Technical Architecture
Technical Architecture
System Structure
Admin Interface
Server-rendered interface for managing scraped data, analysis pages, and system operations.
Analysis Dashboard
Dedicated views for comparing prices, filtering data, and reviewing market trends.
CRM Core Logic
Handles data management, user actions, and internal workflows for pricing analysis.
Data Processing Engine
Transforms raw scraped data into structured, analysis-ready information.
Routing & Controllers
Manages request handling and communication between frontend and backend logic.
Scraping Services
Automates price collection from multiple sources.
External Service
Connections Integrates third-party services and ensures stable data flow.
Data Synchronization
Maintains consistency across scraping, storage, and analysis modules.
PostgreSQL Database
Stores structured pricing data, entities, and relationships.
Supabase Infrastructure
Provides backend services and database management.
Data Storage
Layer Handles persistence of scraped and processed data.
Integrated Service Connections
Multiple scraping and management services linked through a single backend.
Centralized Data Storage
PostgreSQL stores all pricing and analysis data.
Team & Collaboration
Team Collaboration
Roles and Workflow
A team of 10 members using scrum methodology with regular meetings and Jira for project tracking.
Project Manager
Coordinated project progress and facilitated team communication.
Developers
Handled backend development, scraping services, frontend integration, and testing.
Regular Communication
Daily and sprint meetings to maintain alignment.
Task Tracking
Using Jira to manage development tasks and bugs.
Project Facts
Product Type
Price Intelligence CRM
Industry
Travel & Transportation
Platform
Web Application
Users
Analysts & Operations Teams
Technology Stack
Technology Stack
Tools and Frameworks
The system uses standard backend and database technologies supported by cloud services.
Backend
Node.js
Runtime
Express.js
Framework
PostgreSQL
Database
Data & Infrastructure
Supabase
Backend Services
Scraping Services
Data Collection
Server-side Processing
Data Transformation
Application Layer
Server-rendered UI
Interface
JavaScript (Vanilla)
Frontend Logic
HTML/CSS
Presentation
Impact & Results
Impact and Results
Outcomes
The solution improved scraping speed, system scalability, and overall user experience for price analysis.
Improved Speed
Optimizations reduced delays in price scraping and data availability.
Enhanced Scalability
System architecture supports growing data volumes and users.
Better User Experience
Streamlined workflows for admins and analysts through clear interfaces.
Expanded Analysis Capabilities
Added dedicated pages to support detailed price data analysis.
Key Outcomes
Centralized price data management
Faster and reliable scraping process
Improved collaboration among analytics team
The platform significantly improved our ability to collect and analyze pricing data. What used to require manual effort is now automated and structured, allowing our team to make faster and more informed decisions. The system is reliable, easy to use, and handles large volumes of data efficiently.
Winston Pikers
Operations Team
Welcome Pickup
More Projects
READY TO BUILD
THE FUTURE?
Let's create something extraordinary together. Transform your business with AI-powered automation.
Enterprise-Ready
24/7 Support
Global Scale
SOC 2 Certified
Custom Solutions