Automated Auction Data Retrieval Designed for Scalability
Automotive
Client Overview
A major automotive company needed to automate the retrieval and processing of auction data from multiple platforms. Their goal was to deliver timely, standardized data outputs. Achieving this automation would reduce manual effort, improve data accuracy, and support scalable operations as data volume grows.
Challenges
Data Collection
Gathering auction data from various platforms and databases was manual and error-prone.
Format Conversion
Diverse data formats required consistent transformation into standardized outputs.
Delivery Reliability
Ensuring automated, fault-tolerant distribution of data to multiple endpoints was critical.
The Process
We designed a scalable, automated solution emphasizing reliability and extensibility. By leveraging MuleSoft’s scheduling and data transformation tools, we created a system that handles large data volumes with minimal manual intervention.
Scheduled Data Retrieval
Developed a CRON-based scheduler to regularly pull auction data for specific vehicle brands, ensuring up-to-date information.
Data Transformation
Used batch processing and DataWeave scripts to convert and merge data into CSV and Flat File formats, enabling consistent downstream use.
Automated Distribution
Configured processors to send files via email and publish to SFTP servers, ensuring timely and reliable delivery.
Toolstack
MuleSoft Anypoint Platform
DataWeave
Email and SFTP Processors
Outcome
Our solution ensured continuous, error-free auction data delivery, freeing resources and enabling the client to focus on strategic initiatives.
Auction data retrieval became fully automated and reliable.
Data formatting and delivery required no manual intervention.
The system is scalable for future brand and format expansions.
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