AI Scaling Made Simple: Double Your Product Catalog!

OVERVIEW

Managing and enriching product data at scale is a significant challenge for e-commerce businesses. Traditional manual workflows result in inefficiencies, inconsistencies, and bottlenecks that hinder growth. As product catalogs grow, maintaining well-structured and reliable data becomes increasingly complex.

To address these challenges, an AI-powered data enrichment solution was implemented for Stine Home & Yard, enabling the business to scale from 35,000 to 80,000 products efficiently

BUSINESS CHALLENGE & OBJECTIVES

Challenges
 

Manual Data Entry Bottlenecks:

  • Classification and enrichment of product data relied heavily on manual effort, leading to slow processing times and workflow delays.
  • Human data entry errors caused discrepancies and uneven quality across product listings.

     

Scalability Limitations:

  • With increasing product volumes, manual data management processes became unsustainable.
  • The lack of automation limited the company’s ability to expand its catalog efficiently without significant resource investment.
In response to these challenges, Stine set the following strategic objectives:

Enhance efficiency through automation by reducing dependency on manual data entry.

Enable scalable growth in product data processing, facilitating rapid expansion without increasing operational overhead.

SOLUTION & METHODOLOGY

To overcome these challenges, ForkPoint developed the Product Intelligence Hub (PIH)—an AI-powered platform designed to automate and scale product data enrichment and management. Via PIH, we could optimize the entire data management workflow.

PIH is a centralized system that handles the entire product data lifecycle: from dynamic AI scraping to semantic enrichment, version tracking, classification, and integration with e-commerce platforms.

Key improvements and customizations included:
  • AI-driven web scraping tools were deployed to aggregate data from multiple sources, including suppliers, manufacturers, and competitors.
  • At the heart of PIH is an AI-powered scraping engine. Users simply provide a product URL, and PIH dynamically generates a scraper in real time to extract structured data like titles, specifications, images, and pricing.
  • As websites evolve, PIH allows scrapers to be regenerated or updated automatically, ensuring consistent accuracy of the extracted data over time.
  • AI analyzed raw product data and enriched descriptions by generating detailed, SEO-optimized content.
  • The system identified and extracted relevant product attributes, enabling structured storage in a centralized database.
  • Automated translation capabilities allowed content localization for multiple languages, enhancing global accessibility.
  • Automated version tracking ensured product data remained current by detecting changes in descriptions, attributes, and images.
  • PIH tracks every change to a product’s data, storing full version histories. Users can compare differences between any two versions—visually and side by side—allowing for complete transparency, rollback capability, and auditability.
  • PIH goes beyond basic scraping. Using AI, it semantically enriches product descriptions and generates SEO-optimized content. It also automatically classifies products according to major taxonomies such as Google Shopping and Meta Shopping, making the catalog more searchable and structured.
  • Low-quality product images were automatically upscaled using AI-driven enhancement algorithms, improving visual appeal and creating a seamless look across the catalog.
  • Background removal and standardization techniques ensured a uniform and professional presentation across the catalog.
  • PIH also improves product visuals by automatically enhancing image quality, applying background removal, and ensuring a clean, consistent appearance across the catalog.
  • A scheduled AI pipeline continuously monitored and scraped new product listings.
  • Automated upload mechanisms ensured that updated and newly added products were integrated into the live website, keeping the catalog fresh and competitive.
  • Users can filter and bulk-select products for scraping or export.
  • PIH supports multiple export formats (CSV, XML, etc.) and includes direct connectors for platforms like Salesforce Commerce Cloud (SFCC) and Shopify—with more integrations on the roadmap.

 

RESULTS & ACHIEVEMENTS

  1. The implementation of AI-powered automation led to substantial improvements across multiple key performance areas:

0 x
Faster Data Operations
0 x
Better Product Catalog
0 %
Revenue Growth
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Higher Conversion Rates
  1. The product data enrichment process scaled from 35,000 to 80,000 products, significantly accelerating catalog expansion.
  1. AI-driven automation minimized the need for manual data processing, freeing up resources for higher-value strategic initiatives.

AI-enabled standardization eliminated variations in data, improving searchability and boosting SEO rankings.

  1. Improved product descriptions, attributes, and images led to better recommendations, more relevant search results, and increased conversion rates.

AI Product Enrichment – Impact Summary
METRICS Manual AI Enhancement Improvement
Product Catalog Size 35,000 Products 80,000 Products 🔼 2x Bigger Catalog
Manual Data Entry Time High Minimal 🔽 70% Reduction
Data Accuracy & Consistency Moderate (Inconsistent) High (Standardized) ✅ Improved
Image Quality Mixed/Low Resolution Enhanced & Uniform ✅ Improved
SEO-Optimized Descriptions None Fully Automated ✅ Enabled
Localization Manual / Limited Automated, Multilingual 🌍 Scaled
Conversion Rate Baseline Increased 📈 Enhanced UX
Operational Efficiency Manual, resource-heavy Automated, scalable 🔁 Continuous

The AI-powered solution made a huge difference for us. Managing our growing product catalog is now faster, easier, and more reliable than ever.

- Stine Home & Yard Team

CONTINUOUS IMPROVEMENT & FUTURE OUTLOOK

Product Intelligence Hub continues to evolve, incorporating new advancements to refine its capabilities. It is built not just for today’s needs, but to adapt and scale with future demands. Key areas of future development include:

Key areas of future development include:
  • Implementing AI-driven anomaly detection to spot errors and deviations in real time.
  • Integrating feedback loops to improve the quality of classifications by learning from user interactions and corrections.
  • Leveraging AI to provide predictive insights into product demand, optimizing inventory management.
  • Enhancing product recommendation algorithms to personalize shopping experiences based on customer behavior.

PIH empowered Stine Home & Yard to replace slow, manual workflows with a scalable, intelligent platform, delivering consistent, enriched product data across tens of thousands of SKUs.

By continuously refining AI capabilities and expanding automation, the PIH is ready to sustain long-term growth, improve operational efficiency, and deliver a superior shopping experience to its customers.

The AI solution is helping us stay ahead.
With continuous improvements and new features, we’re confident in scaling even further.

- Stine Home and Yard Team, on the evolving capabilities of the AI-Powered product data enrichment

UNLOCK THE FUTURE OF E-COMMERCE WITH THE PRODUCT INTELLIGENCE HUB

As e-commerce continues to evolve, businesses must adapt to growing product catalogs, increasing competition, and the demand for high-quality, enriched product data. Manual processes can no longer keep up – but AI-powered automation can.

Imagine the possibilities for your business!

Ready to transform your e-commerce business with PIH?

Get in touch with ForkPoint today and discover how the Product Intelligence Hub can streamline your product data management from end to end.

Contact us to request a demo or learn more about PIH: 👉click here

Your e-commerce success story begins here!

AT A GLANCE
Challenges
  • Scaling product catalog
  • Reducing manual data errors
  • Improving data accuracy
Key Results
  • 10x catalog growth
  • 70% less manual effort
  • Enhanced SEO, accuracy & customer experience
AI-Powered Solution
  • Automated data enrichment
  • Real-time updates
  • AI-driven translation for global reach

Thanks to ForkPoint, managing our product catalog is easier than ever. Their AI-driven solution helped us scale quickly while keeping our data accurate and consistent. We’ve saved time, reduced manual work, and improved the overall shopping experience. The team's support and expertise made all the difference.

- Stine Home & Yard
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Role Overview

As a Web Developer with around 3 years of experience, you will take an active part in the full development lifecycle – construction, documentation, testing, and deployment. You will be working with Lead Developers, QAs, and DevOps teams to understand the functional requirements and high-level technical details, and to produce efficient, robust code meeting the client requirements.

To keep it short, below are three key responsibilities:

Technology Stack Used & Required Experience:

The Rest of the qualities, you know them:

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