Use Case: Automotive Industry

In the automotive industry, support teams face challenges due to the increasing complexity of software-defined vehicles, leading to high volumes of diverse data formats like diagnostic logs and customer emails that are dispersed across various platforms. This results in inefficient issue resolution, slower response times, and poor visibility into recurring problems. Unstructured offers a solution by centralizing and standardizing support data, integrating with systems like Zendesk and Jira, and using a parsing and enrichment pipeline to classify and enhance documents with metadata. The organized data is stored in search indexes and observability platforms, enabling teams to quickly access relevant cases, reduce manual work, and identify recurring issues. This structured approach lays the groundwork for AI-driven support, allowing for automation in workflows, such as summarizing ticket histories and detecting systemic defects. Organizations using Unstructured report benefits like faster resolution times, increased agent productivity, improved visibility for engineering teams, and enhanced documentation, ultimately providing a reliable data layer for comprehensive support transformation and enabling scalable operations with precision.