Logo
  • Cases & Projects
  • Developers
  • Contact
Sign InSign Up

Here you can add a description about your company or product

© Copyright 2025 Makerkit. All Rights Reserved.

Product
  • Cases & Projects
  • Developers
About
  • Contact
Legal
  • Terms of Service
  • Privacy Policy
  • Cookie Policy
Automated Multi-Source Lead Collection and Real-Time Data Updating System
  1. case
  2. Automated Multi-Source Lead Collection and Real-Time Data Updating System

Automated Multi-Source Lead Collection and Real-Time Data Updating System

dataforest.ai
Retail
ECommerce
Insurance
Finance

Challenges in Managing Outdated and Fragmented Lead Data Across Multiple Platforms

The client faces difficulties in collecting leads from multiple sources such as search engines, social media pages, review sites, and directories. These leads are often duplicated, outdated, or of low quality, and individual searches are time-consuming, hindering timely marketing and sales efforts. The absence of a centralized, clean, and real-time updated lead database leads to inefficiencies and competitive disadvantage.

About the Client

A mid-sized retail or eCommerce company seeking to enhance lead generation efficiency through consolidated, accurate, and up-to-date contact data.

Goals for Developing an Automated, Accurate, and Up-to-Date Lead Collection System

  • Create a unified platform capable of searching multiple external sources for potential leads efficiently.
  • Implement a data cleansing process to eliminate duplicates and ensure lead quality.
  • Enable fast, precise lead queries with filters for categorization and geographic location.
  • Automate lead database updates to refresh data every 10 minutes, ensuring current contact information.
  • Provide notification mechanisms for users to receive real-time updates via email or dashboard alerts.
  • Store historical updates for audit and analysis purposes with secure access.

Core Functional Specifications for the Lead Collection and Update Platform

  • Multi-source lead search capability (e.g., Google Places, Facebook Business Pages, review sites, directories).
  • Parallel lead verification process to ensure data freshness and accuracy.
  • Category filters (up to 904 pre-defined categories) and geographic location filters for refined queries.
  • Auto-update scheduler allowing lead bases to refresh every 10 minutes with new data.
  • Historical data storage of leads and update logs for transparency and audit.
  • User interface for managing lead bases, filters, and update preferences.
  • Notification system to inform users of updates via email or within-platform alerts.

Recommended Technologies and System Architecture for Lead Data Platform

Redis for caching and fast data retrieval.
Cloud infrastructure (AWS or equivalent) for scalability and reliability.
Docker containers for deployment consistency.
ReactJS or similar for interactive frontend development.
PostgreSQL or equivalent relational database for structured lead data storage.

Essential External System Integrations for Data Collection and Notification

  • Google Places API for business location data.
  • Social media platform APIs (e.g., Facebook Business API) for page data.
  • Review and directory sites APIs (Yelp, Yellowpages) for contact information.
  • Email service provider for notification delivery.
  • Data verification tools or processes to validate lead data in parallel searches.

Key System Performance, Security, and Reliability Requirements

  • System must support up to 1000 concurrent user sessions.
  • Lead update process should complete within 5 minutes for large datasets.
  • Ensure data security and compliance with relevant data protection standards.
  • System should handle data cleansing and deduplication processes efficiently without significant delays.
  • Reliable 99.9% uptime with automated failover mechanisms.

Expected Business Advantages of the Lead Management System

Implementation of this platform aims to significantly improve lead data accuracy, reduce manual search and data cleaning time, and ensure up-to-date contact information. The client can expect faster lead retrieval, improved targeting through advanced filtering, and better alignment of sales and marketing efforts. Quantifiable benefits include maintaining data refreshed at least every 10 minutes, enabling more timely outreach, and minimizing data-related errors, ultimately driving sales growth and competitive edge.

More from this Company

Integrated Performance Monitoring and Data-Driven Optimization System for Retail Operations
Proactive Chargeback Prevention and Automated Dispute Management Platform
Development of an AI-Driven Customer Emotion and Conversation Analytics System for Financial Services
Development of an AI-Powered Personalized Product Recommendation and Forecasting System
Implementation of an Advanced Demand Forecasting and Inventory Optimization System for Retail Supply Chain