AI eCommerce Product Data Extraction

OFMP’s Product Categorization with AI Data Extraction Platform

Folio3 Data Services partnered with Schlumberger to modernize its OFMP platform using an AI solution for eCommerce product management that automates data extraction and manages complex product listings for non-technical vendors.

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Project Overview

Schlumberger’s Oil Field Marketplace Platform (OFMP) serves as a global B2B eCommerce hub connecting oilfield equipment vendors with buyers. However, the platform’s product listing process was complex and time-consuming, especially for non-technical vendors managing thousands of SKUs, specifications, and variants.

To solve this, Folio3 deployed its pre-built solution of AI-driven ecommerce product data extraction designed to automate data extraction, simplify variant management, and enhance customer experience.

Through intelligent document processing, natural language interfaces, and an integrated platform assistant, the solution transformed OFMP’s manual workflows into a seamless, automated ecosystem that reduced product listing time from hours to minutes while improving data accuracy and consistency across the OFMP marketplace.

Case Study Shortcut

Challenges

As Schlumberger expanded its Oil Field Marketplace Platform (OFMP), vendors faced increasing difficulty managing complex product listings for technical oilfield equipment. The platform’s detailed requirements spanning hundreds of product attributes created significant barriers for non-technical users. Manual data entry, unstructured information formats, and complex variant management workflows made the listing process time-consuming and error-prone.

Complex Product Listings

Vendors had to enter 100–200 technical specifications per product manually, often sourced from unstructured brochures and PDFs, making listings error-prone and time-consuming.

Non-Technical Vendor Base

Most vendors are domain experts, not digital professionals, and struggled to adapt to complex platform functionalities and manual SKUs management processes.

Unstructured Data Formats

Product information arrived in inconsistent formats, such as tables, text blocks, and images, complicating accurate data mapping and validation.

SKU Management Overload

Adding, updating, or removing product variants required repetitive manual actions, significantly slowing down operations.

Solution: Ecommerce Product Data Extraction Solution

The primary objective was to simplify and automate Schlumberger’s OFMP product management workflows by leveraging AI solution for eCommerce product management, intelligent document processing, and natural language interfaces. The solution aimed to eliminate manual entry bottlenecks, enhance vendor experience, and accelerate product onboarding for the oilfield marketplace.

Key goals included:

Automated ecommerce product data extraction from unstructured brochures, PDFs, and technical documents using AI.
Enable natural language interactions for product variant management, allowing vendors to make updates through simple conversational commands.
Improve data accuracy and consistency across all product listings with structured e-commerce product catalog automation.
Enhance vendor experience by minimizing technical barriers and reducing dependence on manual workflows or platform support.
Accelerate time-to-market by cutting product listing time from hours to minutes through intelligent document processing for e-commerce.

Outcome

The collaboration between Schlumberger and Folio3 Data Services redefined how vendors interact with the OFMP platform. By embedding AI solution for eCommerce product management, the marketplace evolved into an intelligent, user-friendly ecosystem that streamlines product listings, and accelerates time-to-market.

Before

Manual product creation from PDFs and brochures took several hours per listing.
Non-technical vendors struggled with complex variant management interfaces.
Data entry errors and inconsistent formatting affected listing quality.
Vendors relied heavily on support teams for platform navigation and issue resolution.
Slow product onboarding delayed catalog expansion and market responsiveness.

After

AI solution for ecommerce product data extraction populates listings automatically in minutes.
Natural language commands simplify variant management for non-technical users.
Automated validation ensures clean, standardized product data across the platform.
An intelligent chatbot assistant provides real-time guidance and operational insights.
Streamlined workflows enable faster product onboarding and improved vendor satisfaction.

Leverage Our Pre-Built AI Solution for Ecommerce Product Data Extraction

Just like Schlumberger transformed its Oil Field Marketplace Platform (OFMP) with AI-powered automation, you too can transform eCommerce product data management. Automate product data extraction, streamline catalog creation, and simplify complex workflows for non-technical users.

Implementation Phases

Approach

Automated Product Creation from Documents

Built an intelligent document processing e-commerce that extracts product details, images, and specifications directly from vendor brochures and PDFs, populating product listings automatically within minutes.

Natural Language Variant Management

Developed an AI-powered natural language interface enabling vendors to add, update, or delete product variants using plain English commands.

Intelligent Platform Assistant

Integrated an AI chatbot trained on OFMP documentation and connected to live databases, allowing vendors to receive instant, context-aware guidance on listings, inventory, and platform processes.

Scalable AI Architecture

Implemented a modular LLM-based framework optimized for document intelligence, natural language understanding, and real-time data processing.

User-Centric Experience

Designed an intuitive interface where vendors can oversee extracted data, verify accuracy, and publish listings with minimal effort.

Our Team

Built by Engineers. Led by Thinkers. Driven by Results.

At Folio3 Data, we’ve built a team that doesn’t just understand data. They know how to make it meaningful. From our leadership to delivery teams, every person here brings a sharp mind, a hands-on approach, and a real commitment to solving complex problems.

We're a team that becomes an extension of yours - thinking with you, building beside you, and staying until it works.