The DFC Standard and the Beckn protocol both aim to enable interoperability in digital ecosystems, but they have different focuses, approaches, and application domains.
Both are open-source initiatives that aim to reduce digital monopolies and create more equitable digital ecosystems, but they operate at different levels and with different architectures.
Thanks to a project supported by NGI Sargasso, we have dived into the specificities of both standards and analized how they could be complementary.
This article was written and led by Garethe Hughes and reviewed by Benoit Alessandroni.
Overview
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DFC Beckn Domain-specific Created specifically for short food supply chains and local food systems Designed as an open protocol for any commerce or services across sectors Focused on connecting platforms that serve small-scale food producers, farmers’ markets, food hubs, CSAs, etc… on creating open networks for discovery, ordering, and fulfilment in a decentralised manner Data model is built using existing semantic web technologies, around the specific domain needs of agroecological producers, and food-specific logistics is implemented in generic, simple, JSON schemas, to accommodate industries including mobility, food delivery, and healthcare Industry scope Specifically designed for short foodchain systems and direct producer-to-consumer relationships Much broader, aiming to be the “SMTP of commerce” – a universal protocol for all types of transaction
General differences
- Scope: DFC is a specialised standard for agroecological food supply chains, whilst Beckn is a general-purpose protocol that aims to accommodate any type of commercial transaction
- Integration approach: DFC focuses on standardising data exchange between existing platforms using existing open standards (LDP, RDF), whilst Beckn creates a new protocol layer between buyers and sellers.
- Design philosophy: DFC is built specifically around the needs of short food supply chains and the implementation of a data standard to support interoperability. Beckn, on the other hand, abstracts commerce concepts from the protocol to facilitate transaction support/resolution across many domains.
Key differentiators
Transaction Handling
| DFC | Beckn | |
| Transaction focus | Primarily supports catalog sharing, order management, and inventory synchronisation across platforms | End-to-end transaction support including discovery, ordering, fulfillment, post-fulfillment, and support |
| Transaction flow | Focuses on helping producers list products across multiple platforms and manage orders that come from different sources | Comprehensive flow from search to payment to delivery with APIs for each stage |
| Payment handling | Less emphasis on standardising payment processes; relies on the native payment systems of participating platforms | Built-in support for payment callbacks and multiple payment methods within the protocol |
| Transaction complexity | Designed for relatively simple transactions typical in food systems (order placement, fulfillment, delivery) | Supports complex transaction scenarios including multi-party fulfillment, bundled services, and dynamic pricing |
| Real-time capabilities | More focused on cyclical ordering via sales sessions. | Designed for real-time transactional capabilities like ride-hailing, on-demand services |
Key transactional differences
- Transaction orchestration: Beckn provides more robust mechanisms for orchestrating complex, multi-step transactions across different providers
- State management: Beckn has more sophisticated state management for tracking transaction status throughout the lifecycle
- Domain-specific vs. generic: DFC’s transaction models are tailored specifically to food supply chains, while Beckn’s are abstracted to work across domains
- Marketplace dynamics: Beckn explicitly supports marketplace-type dynamics with discovery protocols, while DFC is focused on connecting existing platforms
- API standardisation: Beckn standardises the entire transaction API flow, while DFC standardises the data model but is more flexible on implementation details
Traceability
The DFC standard shines in its specialised support for food traceability, with data models built specifically for tracking products through local and regional food systems. Beckn, while potentially capable of supporting traceability through extensions, takes a more general approach as it needs to accommodate many different types of services and products beyond food.
| DFC | Beckn | |
| Traceability focus | Specifically designed with food traceability as a core concern | Generic framework that could accommodate traceability but hasn’t really implemented anything around that yet. |
| Product information | Detailed support for food-specific attributes like production methods, certifications, and origin information | More general, less specialised support for domain-specific product attributes |
| Chain of custody | Strong emphasis on tracking products from farm to consumer, including intermediaries | Transaction-focused rather than product history-focused |
| Producer identity | Robust producer profile data model that preserves producer identity throughout the chain | Supports provider information but with less emphasis on maintaining producer identity throughout the chain |
| Certification tracking | Built-in support for organic, sustainable, and other certification schemes relevant to food systems | Generic attribute support rather than food-specific certification schemas |
| Production methods | Can capture detailed information about agricultural practices and production methods | Less specialised support for production-specific details |
| Batch/lot tracking | Support for tracking specific harvests, batches, or production runs | More generalised item identification rather than specialsed batch tracking |
Key traceability differences
Specialisation: DFC’s data model is optimised specifically for food traceability, while Beckn provides a generic framework that could be extended for traceability
Granularity: DFC offers more granular traceability data points specific to food production
Transparency by design: DFC was developed with transparency and consumer information as core principles
Regulatory alignment: DFC is more closely aligned with the specific regulations and transparency requirements of food systems.
Supply chain depth: DFC has deeper modelling of the specific stages relevant to food supply chains
The bottom line – and what next?
The DFC and Beckn protocol represent two different approaches to digital standards that aim to increase interoperability, though they differ significantly in scope, design philosophy, and implementation.
DFC’s strength lies in its domain-specific focus, with robust support for food traceability, producer identity preservation, and the unique needs of local food systems. It excels in connecting existing platforms that serve small-scale producers and alternative food networks, with particular attention to food-specific attributes like production methods, certifications, and supply chain transparency.
Beckn, in contrast, is a general-purpose protocol designed to be the “SMTP of commerce” – a universal standard for transactions across any sector. It offers comprehensive end-to-end transaction support with sophisticated orchestration capabilities, real-time interactions, and the flexibility to work across multiple domains from mobility to healthcare to retail.
The key differences between them reflect their different goals:
- Specialisation vs. Generalisation: DFC deeply supports food-specific needs while Beckn provides a flexible framework for any commerce domain.
- Transaction Depth: Beckn offers more comprehensive transaction orchestration, while DFC focuses more on connecting existing platforms and synchronizing data.
- Traceability: DFC has specialized food traceability features built into its core, while Beckn provides a more generic framework that would need extension for detailed traceability.
These standards ultimately serve complementary roles in the digital ecosystem – DFC by providing a full semantic ontology, supported by taxonomy files, gives deep vertical integration for short foodchain systems, and Beckn offering transactional robustness and open marketplace discoverability but lacking in depth data support.
There is a potential synergy – if Beckn could be extended to accept more semantic web/Linked Data Notifications with specific message types, in place of the current deidcated API endpoints (e.g. /search /init ), this would enable the richness of DFC (and other semantic web ontologies) to be wrapped in the transactional robustness and discoverability of the Beckn Protocol.