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The organization is one of the largest Brand Monitoring and Analytics Company focusing on the Data, Insights and Advisory Solution for big brand owners to improve their Brand reputation and reduce the chances of Brand dilution.

CHALLENGE

The organization was not able to handle the Crawling operation in large scale and searching for team of experts who can handle and end-to-end large crawling operations to scrape data of 100s of brands covered across 1500+ retailers (Expected to grow over 20% every year) on a daily basis to get various reports related to retail insights, market share, pricing analytics, promotional monitoring etc.

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SOLUTION

X-Byte had offered robust solution to scrape product data from 1500+ retailers on a daily basis, by handling various scraping associated task inclduding Crawling, QA, Delivery, Maintenance, and Support. The Solution has been extracting Millions of listing on a daily basis within the agreed defined SLA.

X-BYTE SOLUTION

Setting up the Crawler The crawler was initially configured such that it could automatically scrape product price and essential data fields for present categories on a daily basis.

Data Template : A template was created utilizing data structuring based on the schema provided by the customer.

Delivery of Data : Without any manual input from either side, the closing data was supplied in an XML format through Data API regularly.

The dataset had all the information including comments, news timelines, most viewed articles, customer behaviour, etc. All of the scraped data was indexed using hosted indexing components, and search APIs were made available so that a client could get the results every few minutes.

IMPACT

  •  End to End data integrations across the entire system
  •  Hassle free Customer centric delivery 365 days a year
  •  Improvement in product feed optimization & promotion visibility
  •  Allow client to Focus more on core business by outsourcing Crawling Task
  •  Enhancement in productivity with coverage of more retailers
  •  Reduce in overall cost of operation

 

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