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AI-Powered Printed Ad Data Extraction and Analysis Platform

oxagile.com

Retail

Consumer products & services

Advertising & marketing

Challenge: Manual Printed Ad Data Processing

The client currently faces significant challenges in extracting and analyzing data from a large volume of printed advertisements. Manual data processing is costly, time-consuming, prone to errors, and limits the ability to quickly respond to market trends and competitor activities. They need a scalable solution to automate the capture of promotional offers and product information from various ad formats.

About the Client

A large retail chain seeking to optimize pricing strategies and marketing campaigns through comprehensive analysis of printed advertisements.

Objectives

Automate the extraction of data from printed advertisements.
Reduce manual data processing costs by at least 80%.
Create a unified database of promotional offers and product information.
Achieve a minimum of 80% automation accuracy in offer type recognition.
Improve pricing strategy and marketing campaign effectiveness through data-driven insights.

Functional Requirements

Ad page detection and cropping with high accuracy.
Text detection and recognition within ad blocks.
Offer type classification (e.g., 'Buy one get one', discounts, promotions).
Data extraction of product name, price, volume, and other relevant details.
Generation of a structured 'Offer Table' for data analysis.
Daily processing of at least 20,000 ad blocks.

Preferred Technologies

PyTorch

ONNX

Darknet

YOLOv4

YOLOv5

CharacterRegion Awareness for Text Detection (CRAFT)

Spatial Transformer Network

Bidirectional LSTM

Attention module

CTC classifier

SynthText

MJSynth

Integrations Required

Database (e.g., PostgreSQL, MySQL) for storing extracted data
Business Intelligence (BI) tools (e.g., Tableau, Power BI) for data visualization and analysis

Non-Functional Requirements

High accuracy (text recognition >99%, offer type classification >80%)
Scalability to handle increasing volumes of advertisements.
Real-time or near real-time processing capabilities.
Data security and privacy.
Robustness to variations in ad formats and image quality.

Expected Business Impact

This project will enable the client to significantly reduce operational costs, gain deeper insights into competitor pricing and promotions, optimize marketing campaigns, and improve overall business decision-making. The automated data extraction will free up valuable resources, allowing the client to focus on strategic initiatives. Data-driven insights will allow for more effective pricing strategies and tailored promotions, leading to increased sales and market share.