August 11, 2025GoodWares announces the launch of the first blockchain-powered ERP, aiming to change the e-commerce landscape for small and mid-sized retailers. This initiative will provide e-commerce businesses with access to efficient tools and logistics typically found in Fortune 500 companies.

GoodWares' novel approach combines AI-driven supply chain tools with a highly decentralized structure built on the Hyperledger Fabric blockchain. This innovation promises speed, visibility, and coordination to small- to medium-sized e-commerce businesses. Therefore, it addresses needs previously met only by larger corporations.

The problem

Small e-commerce retailers rely on disconnected tools that fail to communicate with each other. This fragmentation means they lack real-time visibility into their operations, leading to poor insights and bad decision making. As a result, they struggle to optimize inventory, pricing, or logistics—key levers for growth. Without the collective power or clarity that larger enterprises enjoy, these businesses remain stuck, unable to scale efficiently. In contrast, Fortune 500 companies leverage integrated systems and data-driven strategies to continuously improve and expand. According to Statista’s 2024 Digital Market Outlook, Europe alone has approximately 2.4 million small and mid-sized e-commerce businesses facing these exact structural limitations.

The three core layers of GoodWares

1. Enterprise Knowledge Graph (EKG)

The EKG is the intelligent backbone of our platform—an continuous-evolving, real-time network that maps relationships between products, suppliers, inventory, orders, and shipments. It’s not just a database—it’s a dynamic, visual brain that understands how every part of your business connects. When something changes—like a delayed shipment or supplier issue—the EKG instantly shows you the ripple effects across your entire operation. This gives teams immediate insight into what’s happening, why it matters, and where to act—eliminating guesswork and enabling faster, smarter decisions.

2. Blockchain layer

The Blockchain Layer is the trust engine behind GoodWares—a secure, decentralized infrastructure built on Hyperledger Fabric, purpose-built for seamless, permissioned collaboration between sellers, suppliers, and logistics partners, all without compromising data privacy.

Everything operates on a shared, tamper-proof ledger, allowing businesses to safely collaborate without revealing sensitive information. Sellers can confidently combine order volume, negotiate bulk rates, reduce freight costs, and unlock enterprise-level advantages—all while maintaining full control over their data.

No other technology than blockchain enables this kind of secure, scalable, multi-party cooperation.

3. The AI layer

AI gives you smart alerts, so you can focus on what really matters—growing your business. It utilizes real-time data to inform you on how to optimize processes that will enhance your business. The program uses the Enterprise Knowledge Graph to deliver perfectly structured data, presenting a clean, connected, and trustworthy picture.

Agentic AI even takes it a phase further by automatically processing returns or rerouting shipments. Moreover, it only performs these functions when it has been proven to work 100%. This way, your business can rely on less guesswork and focus on more growth instead.

End-to-end commerce in one system

The founders of GoodWares share a bold vision: to become a unifying force for online retailers. The platform encompasses the entire e-commerce workflow, including planning, procurement, inventory management, order and return processing, logistics, finance, and compliance. Users can truly benefit from having all of them in one place.

By replacing scattered tools with a single, connected system, GoodWares enables independent sellers to work smarter, scale faster, and grow together. This is how Collaborative E-commerce becomes a reality.

The project's official website and GoodWares social pages below represent an easy way to follow this international team.

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