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Enabling AI-Powered B2B Catalogue Management at Scale

In B2B commerce, catalogue growth is a double-edged sword. A larger assortment drives market presence, but maintaining accurate product data, compelling descriptions, and consistent categorisation becomes increasingly complex.

At 1VendorPlatform (1VP), our expanding buyer & seller partner network created a paradox — catalogue size was outpacing partner onboarding speed. We needed to break this bottleneck without compromising quality, accuracy, or speed.


The Operational Bottleneck

Traditionally, our operations team handled:

  • Writing product descriptions and other details manually.
  • Categorising items for search and discovery.
  • Uploading and validating every SKU individually.

This manual, resource-heavy workflow slowed product discovery and  onboarding, introduced room for human error, and capped our operational scalability. With thousands of SKUs flowing in, the old approach was unsustainable.

The challenge was clear:

Build a real-time, AI-powered automation that transforms raw vendor data into a golden record — a single source of truth used across all 1VP B2B commerce applications.


Project Invoker – Phase 1

We designed and deployed a cloud-native, LLM-driven product data enhancement engine. Powered by AWS Bedrock – Titan Lite, the system automates content generation, validation, and indexing at scale.

How it works:

  1. Event Trigger: On product creation, the LLM ingests raw data from the Vendor or Buyer.
  2. AI Catalogue Generation: The model generates both comprehensive descriptions and short marketing blurbs tailored for B2B buyers.
  3. Data Validation: Automated checks ensure pricing is valid and AI-generated content meets our quality benchmarks.
  4. Golden Record Update: The enriched product data is stored in our Golden Record Database.
  5. Platform Integration: Secure APIs distribute the finalised data to all relevant B2B commerce applications in real time.

Impact

  • Zero bottlenecks – Product descriptions are generated instantly.
  • Operational efficiency – The ops team can now focus on growth, vendor success, and strategic partnerships.
  • Data consistency – One Golden Record ensures uniform product information across all channels.
  • Scalability – The system handles thousands of SKUs in real time, ready for exponential catalogue growth.

Project Invoker – Phase 2 & Beyond

Next milestones:

  • One-Point Catalogue Creation – From a short product brief, the system will auto-generate all attributes, descriptions, categorisation, and pricing.
  • AI-Driven Image Sourcing & Generation – Leveraging computer vision and generative AI to either source the most accurate image from vendor/stock libraries or generate one from scratch.
  • Continuous Learning – Fine-tuning the LLM with domain-specific data to improve accuracy, tone, and commercial relevance.

🚀 1VP’s vision: Transform B2B catalogue management into a fully autonomous, AI-driven pipeline that powers faster onboarding, richer product experiences, and accurate product discovery.

Authors

  • Building 1Vendor Platform™ (1VP) – Simplifying e-procurement for Industries. AWS | Amazon | IIMC | Maruti Suzuki | Atos | BIT-Mesra. Innovating in tech and automotive for 15 years—developing cutting-edge products that drive efficiency, scalability, and real-world impact. Passionate about technology, product development, and exploring new frontiers.

  • Roushan Kumar Barnwal SDE @ 1Vendor Platform | AWS, API, SQL, HTML, CSS, JS, Salesforce Admin Graduated with a BTech in Chemical Engineering from Birla Institute of Technology, Mesra, and currently working as an SDE at 1Vendor Platform. Core competencies include AWS, API, Salesforce administration, SQL, and HTML.

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