This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Development of an AI-Driven Ad Optimization Platform with Real-Time Analytics and Multi-Network Integration

thecodest.co

Advertising & marketing

Information technology

Challenges in Ad Revenue Optimization and Platform Integration

Publishers face difficulties in maximizing ad revenue due to fragmented ad inventory management, inefficient bidding processes, and lack of real-time data insights. Challenges include handling massive real-time data volumes for bidding decisions, integrating with evolving ad exchanges/DSPs/SSPs, and developing complex algorithms for revenue optimization while maintaining user experience and regulatory compliance.

About the Client

AdTech platform specializing in programmatic advertising solutions for publishers

Objectives for Enhanced Ad Optimization Platform

Develop an AI-powered ad optimization tool for real-time revenue maximization
Implement seamless integration with multiple demand-side and supply-side platforms
Create scalable infrastructure for handling high-volume data processing
Ensure GDPR compliance and brand safety mechanisms

Core System Functionalities and Features

Real-time analytics dashboard with revenue performance metrics
Dynamic ad inventory management system
AI-driven header bidding and real-time bidding (RTB) optimization
Multi-network integration with DSPs/SSPs/ad exchanges
Automated compliance and brand safety controls
Customizable publisher configuration portal

Technology Stack Requirements

Ruby on Rails

PostgreSQL

GraphQL

Vue.js

Docker

AWS cloud infrastructure

External System Integrations

Demand-Side Platforms (DSPs)
Supply-Side Platforms (SSPs)
Ad networks
Real-time bidding exchanges
Data management platforms

System Performance and Security Requirements

High-throughput real-time data processing
99.9% system availability SLA
GDPR-compliant data handling
Horizontal scalability for traffic spikes
Low-latency bidding decision engine

Expected Business Impact of AI-Driven Ad Optimization

Implementation of this platform is expected to significantly increase publishers' ad revenue through intelligent bidding strategies and improved inventory utilization. The solution should enable 24/7 automated optimization, reduce manual AdOps workload by 60%, and achieve compliance with industry standards while maintaining a 673% average profitability benchmark demonstrated in previous implementations.