QKast Ep 1 with Qualitia · Agentforce testing at enterprise scale 10 Sept Register here QualityKiosk named 2026 UiPath International Agentic Testing Pioneer Partner of the Year! We're heading to the Dubai FinTech Summit, 2–3 Nov — Meet us! QKast Ep 1 with Qualitia · Agentforce testing at enterprise scale 10 Sept Register here QualityKiosk named 2026 UiPath International Agentic Testing Pioneer Partner of the Year!

We're heading to the Dubai FinTech Summit, 2–3 Nov — Meet us! QKast Ep 1 with Qualitia · Agentforce testing at enterprise scale 10 Sept Register here. QualityKiosk named 2026 UiPath International Agentic Testing Pioneer Partner of the Year! We're heading to the Dubai FinTech Summit, 2–3 Nov — Meet us! QKast Ep 1 with Qualitia · Agentforce testing at enterprise scale 10 Sept Register here

Case Studies

Case Studies

QualityKiosk’s Breakthrough Slashes Data Processing Time of Automotive Giant by 99%

Industry & Segment

Automotive & Manufacturing

Objective

To drastically reduce data processing time and enhance system responsiveness for a large-scale automotive ecosystem by implementing advanced quality engineering frameworks, enabling near real-time data availability, faster decision-making, and improved operational efficiency across critical workflows.

Client Overview

Our client is one of the largest automotive manufacturers in India. The client faced challenges with data processing workflow with inputs coming from multiple suppliers and vendors across automobile spare parts, body components, and transmission systems. Efficient data processing and analysis of the product cost management data was critical for their uninterrupted operations. This success story outlines how QualityKiosk’s advanced data processing solution addressed these challenges and transformed their data analysis workflow, making it faster, more secure, and highly efficient.

Business Challenges

Uniformity of Input & Output Files

The data input and output files lacked consistency, making it challenging to extract meaningful insights and perform data analysis efficiently.

Dependency on Multiple Teams

The client heavily relied on individual teams to generate essential data, causing bottlenecks and delays in their data processing pipeline

Time-Consuming Data Generation

The manual data generation process was time-consuming, with one file taking approximately 12 to 15 days to process.

Confidentiality of Supplier & Raw Material Data

Supplier and raw material data, which should only be accessible to high-level executives (HODs), were accessible by base-level users, potentially compromising data security.

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QualityKiosk’s Approach

Input Template Generation: Automated pre-population of data based on predefined conditions and master data to ensure uniformity.
Output Format Customization: Enhanced the relevance and usability of output data by creating a format that dynamically adjusts to specific parts, projects, and commodities.
Authorization Matrix Implementation: Enhanced role-based data authorization restricted access to sensitive supplier and raw material data for confidentiality.
Efficient Automation: Leveraged Python and Excel on Google Cloud Platform (GCP) for ecient automation, enabling dynamic scalability and reducing data processing time significantly.

Business Results

Reduced manual data processing time from 12-15 days to about 10 minutes, achieving optimum cost analysis and boosting effciency.

Improved data consistency and accuracy by enhancing uniformity in internal availability vs. procurement files for easier decision making.

Streamlined data processing to enhance the choice of procurement vendors, reduce team dependency, and improve workflow continuity.

Ensured scientific coverage of all cost factors for comprehensive procurement decisions while maintaining confidentiality of sensitive supplier and raw material data.