Photography Lenses Data Management System

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Photography Lenses Data

Developing an automated data management system for B&H Photo Video to streamline the collection , processing, and organization of photography and cinema lens product data. The system ensure accurate product specification standardized reference IDs, image adn document management and seamless database integration for maintaining data consistency across MongoDB collections.

Data Management
Data Standardization
Lens Tracking System
Data Collection

Client Profile

B&D Photo Video is a leading retailer specializing in the photography and videography equipment. Managing an extensive catalogue of photography and cinema lenses, the company faced challenges in the standardizing product data, ensuring accuracy, and automating manual processes. They sought a scalable date management solution to maintain consistency across their catalogue and improve operational efficiency.

Request background

The client struggled with a highly manual and time-consuming process for collecting and managing product data. The existing system lacked standardization, resulting in inconsistencies in the product specification, refrence IDs and file managment

Inconsistent Product Data

Lack of uniformity in specifications, naming conventions, and product categorization

Manual Processing Overload

Dependence on human intervention for data entry, increasing errors and inefficiencies

Inefficient File management

Unstructured handing of images and product documentation

Database Fragmentation

Poorly structured data storage, making it difficult to retrieve and update product details

Lack of Automation

No systematic approach for reference ID generation, data validation, or reporting

Challenges

There are many challenges affecting businesses in the E-commerce and retail industry

Data Collection Challenges

  • Automating the extraction of product specification, images, and documentation from the client’s website
  • Handling dynamic content pagination and network failures
  • By passing website security measures including CAPTCHA challenges and bot detection

Technical Challenges

  • Managing large volumes of product data efficiently
  • Standardizing specifications and eliminating inconsistencies
  • Generating unique, non-duplicated reference IDs
  • Ensuring real-time database updates without performance bottlenecks

Business Challenges

  • Meeting specific formatting and organizational requirement
  • Ensuring accuracy and consistency in product sheets
  • maintaining data integrity across collections
  • Enhancing searchability and accessibly of product information

How It Looks

The client has faced barious challenges in the traditional practices fro the PERIO Chart

Outcomes 

The Impressive Results of Data Management System 
Accuracy in reference
0 %
ID generation, enabling Zero duplicate entries across collections.
Reduction in manual
0 %
intervention for data entry and management, because of Standardized specifications for thousands of products.
Reduction in data
0 %
processing time, as Automated error handling and data validation ensuring consistency.

Client Feedback 

The new system has completely transformed how we manage product data. The automated processing, standardized reference IDs, and organized data structure have significantly improved our workflow. Autviz Solution’s expertise in automation and data management was invaluable in making this project a success.

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Integrated Solution: Python ,MongoDB , Selenium WebDriven , TensorFlow

Automated Data Collection System

We developed an automated web scraping system utilizing Selenium WebDriver. This system efficiently handles dynamic content, pagination, and CAPTCHA challenges while ensuring seamless data extraction from the B&H website.

Reference ID Generation & Data Standardization

A structured reference ID system was implemented to uniquely identify photography and cinema lenses. The IDs follow a specific format: I-I-pl_XXXXX for photography lenses and I-I-cl_XXXXX for cinema lenses. This ensures consistency and prevents duplication.

Database Management & Batch Processing

The system integrates with MongoDB, enabling structured data storage across multiple collections. Batch processing was introduced, handling up to 1999 records per batch to optimize performance and reduce processing time.

Image & Document Processing

To manage product images efficiently, we integrated AWS S3 storage with automated downloading, verification, and format standardization. For document management, we implemented PDF processing capabilities, including file size optimization, format verification, and metadata extraction

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