Executive Summary
A young polymer and chemical distributor faced a common challenge while setting up their e-commerce platform. Manually entering product details for each polymer was time-consuming and prone to errors.
They needed a better way to ensure accurate and consistent information.
Partnering with Elastiq, they implemented an AI Agent built on Google Cloud that automates entity extraction from complex technical documents, eliminating manual data entry, ensuring data consistency and reducing errors.
The result?
Faster processing, improved accuracy, and a seamless e-commerce launch.
Client Profile
The customer is building an e-commerce platform for polymer sales. For each polymer, they had to draft an accurate product description.
Business Problem
The customer had a vast database of 5,000+ TDS documents, with more to be added regularly. These documents contained crucial product details, but manual data entry was slow, error-prone, and inconsistent due to:
- Varying document formats from different manufacturers, requiring adaptable extraction methods.
- Incomplete fields such as industry and application, which required additional research or external validation.
- Lack of standardization across TDS documents, making it difficult to extract structured data efficiently.
All these factors delayed their e-commerce launch and increased operational complexity.
Elastiq Solution
Elastiq partnered with the customer to implement an AI-driven agent that automates entity extraction. This solution addressed key challenges by:
- Automated Extraction & Standardization: The AI Agent extracted key product attributes such as polymer type, supplier, and industry applications directly from TDS documents. To ensure consistency, rule-based formatting was applied to maintain uniform temperature units, test methods, and material properties across listings.
- Minimizing AI Hallucinations & Enhancing Accuracy: The system combined fine-tuned AI prompts with reinforcement learning techniques to improve accuracy. Validation layers, including predefined supplier and industry lists, ensured extracted values matched real-world data, reducing hallucinations.
- Handling Variability & Missing Data: The AI Agent adapted to different document formats using flexible prompt engineering. When industry or application fields were absent, it cross-referenced supplier metadata and predefined classification databases to complete missing fields while maintaining accuracy.
The backend leveraged Google Cloud’s serverless stack – Vertex AI for accurate extraction, Google Gemini for intelligent data enrichment, Cloud Run for scalable deployments, and API Gateway for secure integration.
This AI agent transformed unstructured PDF data into structured JSON output, which was directly integrated into the customer’s e-commerce catalogue, accelerating their product listing process.
Results and Impact
Apart from eliminating manual data entry, this AI Agent delivered significant benefits for the customer:
- Ensured consistent and reliable data extraction by validating extracted information against supplier databases and industry classifications.
- Reduced operational costs by automating a process that previously required multiple employees to manually extract and verify product details.
- Enabled 24/7 automated processing, allowing new product listings to be created faster, leading to quicker “time-to-market” and increased revenue potential.
Google Cloud’s AI and serverless technologies enabled rapid scalability, low maintenance overhead, and highly accurate data pipeline automation.
Conclusion
This solution is more than just automating data processing; it’s about business transformation. With an AI-powered agent seamlessly handling data extraction and listing products on the e-commerce catalog, the customer is now ready to serve customers with accurate and consistent product information.
Leveraging Google Cloud technologies, the customer has achieved faster “time-to-market” and a robust, automated foundation for future growth.
Their success story highlights how the right AI Agent can turn technical challenges into business triumphs.