# Specialized AI Pipelines for Parts & Service Data

Predii automates the cleansing and tagging of large, unstructured datasets, transforming repair and service data into actionable insights.

## Raw Data

- Intelligence

### Pipeline Architecture

- Automated processing workflow
- Automated Ingestion & Preprocessing
- Feature Extraction & Data Standardization
- Ontology & Taxonomy Alignment
- Data Clustering & Aggregation
- Processing Speed 10x Faster

## Transforming Data into Actionable Intelligence

Predii's Specialized AI Pipelines efficiently process and structure large volumes of unstructured automotive data—including repair logs, parts catalogs, service histories, and technical bulletins. The pipeline automates critical tasks of data ingestion, cleansing, and tagging, ensuring raw data is transformed into a usable, structured format with minimal manual effort.

### Automated Processing

Handles large volumes of unstructured data with minimal manual intervention

### Intelligent Structuring

Transforms raw data into organized, searchable formats

### Actionable Insights

Delivers structured intelligence for informed decision-making

## Pipeline Flow

From raw data to structured intelligence in five key stages

### Customer Statement

Customer states grinding noise when stopping. Technician inspected the brakes and found gravel between heat shield and brake rotor.

### Repair Order

Raw verbatim data from service center

### Feature Extraction

AI-powered natural language processing and analysis

### Logical Clustering

Pattern recognition and grouping of similar repair cases

### Insights

Actionable intelligence for service operations

### Taxonomy/Ontology

Automotive-specific knowledge base and terminology mapping

### Extracted Data

Symptoms, components, and repairs identified from customer statement

## Capability Features

Explore the key capabilities of our specialized AI pipeline

- Automated Ingestion & Preprocessing
- Feature Extraction & Data Standardization
- Ontology & Taxonomy Alignment
- Data Clustering & Aggregation

### Automated Ingestion & Preprocessing

#### 01 Data Ingestion

Automated ingestion of unstructured data from a variety of sources, including repair logs, manuals, service bulletins, and ERP systems. Predii handles multiple data formats and leverages NLP (Natural Language Processing) for semantic understanding.

#### 02 Pre-Processing

Natural Language Processing (NLP) extracts meaningful text from documents. This includes tokenization, stop-word removal, and data normalization to standardize formats and ensure consistency in the text before feature extraction.