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

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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