# Supply Chain Data Sharing on Kafka

Share inventory, orders, and shipment data with suppliers and carriers without exposing Kafka infrastructure. Virtual clusters isolate partners. Field-level encryption protects sensitive data. Usage metering tracks consumption.

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## Why per-partner clusters don't scale for retail.

### Infrastructure Sprawl

New Kafka clusters for each supplier, carrier, and marketplace inflate cost and operational load. Topics duplicated across environments.

### Slow Partner Onboarding

Weeks to provision a new supplier connection. Network changes, security reviews, and custom integration work block time-sensitive partnerships.

### Data Exposure Risk

Suppliers see more data than they need. No field-level controls. Audit trails scattered across systems.

## Why Conduktor for Supply Chain Sharing

- **Virtual Clusters** — Create isolated environments for each partner on existing Kafka infrastructure. No new clusters, no VPC peering, no infrastructure sprawl
- **Topic Filtering** — Share specific topics with each partner. They see only the data relevant to their integration—not your entire event stream
- **Field-Level Encryption** — Encrypt or mask sensitive fields per partner contract. One topic serves multiple views with different data protection levels
- **Usage Metering** — Track bytes produced and consumed per partner. Export via API for billing, chargeback, or capacity planning
- **Rate Limiting** — Set throughput limits per partner. Premium partners get higher quotas. Prevent any single partner from overwhelming the cluster
- **Audit Trail** — Centralized logs for all partner activity across clusters. Export to SIEM or compliance systems

- **Conduktor Gateway Isolation** — Partners connect through Conduktor Gateway, a Kafka proxy. Kafka brokers stay inside your network, never exposed to external parties
- **Crypto-Shredding** — Delete encryption keys to revoke partner access instantly. Meet GDPR right-to-erasure without data deletion
- **Multi-Region Support** — Partner zones can bind to regional clusters. Route EU partners to EU clusters for data residency compliance
- **Real-Time Visibility** — Monitor partner consumption, lag, and errors from Console. Identify integration issues before partners report them
- **Self-Service Onboarding** — Partners request access via API or Console. Approval workflows route to platform team. Policies auto-enforce on approval
- **No Replication** — Share topics without duplicating data. One source of truth, multiple controlled views

## How Partner Data Sharing Works

From signed deal to live data feed without new infrastructure.

- **Define Partner Zone** — Create a virtual cluster with topics, fields, and rate limits. Attach to IdP group or external identity provider
- **Set Protection Policies** — Configure field-level encryption per partner contract. Mask pricing, PII, or competitive data as needed
- **Enable Metering** — Track bytes and messages per partner. Use for cost attribution, chargeback, or commercial agreement reporting
- **Onboard Partner** — Partner connects through Conduktor Gateway with their credentials. Policies enforce automatically. No cluster exposure

## Key Use Cases

- **Supplier Integration** — Share demand forecasts and purchase orders with suppliers. Filter to show only their products. Encrypt pricing data
- **Carrier Data Feeds** — Expose shipment and tracking events to logistics partners. Different tiers of access for different carrier classes
- **Marketplace Integration** — Connect order and inventory data with Amazon, Shopify, and other marketplaces. Per-marketplace topic access
- **3PL Warehousing** — Share inventory and order events with third-party logistics providers. Real-time visibility into stock movements
- **Returns Processing** — Let return partners consume return authorization events. Track refund status back to your systems
- **Loyalty Partners** — Share customer event streams with loyalty program partners. Encrypt PII, expose only program-relevant data

For Kafka cost allocation and compliance, see [data protection](https://www.conduktor.io/solutions/use-case/data-protection). For internal team self-service, see [developer self-service](https://www.conduktor.io/solutions/industry/retail-and-ecommerce/developer-self-service). For the full data sharing overview, see [Data Sharing](https://www.conduktor.io/solutions/use-case/data-sharing).

## Read more customer stories

- [Swiss Post: Partner Data Sharing](https://www.conduktor.io/customer-stories/how-swiss-post-governs-democratizes-kafka-usage)
- [Bitvavo: Secure External Access](https://www.conduktor.io/customer-stories/bitvavo-ensures-compliance-dora-mica)

## Frequently Asked Questions

**Do partners need Kafka expertise to consume data?**

No. Partners consume through standard Kafka clients. They see a simple, governed interface. Your infrastructure complexity stays hidden.

**Can different partners see different fields from the same topic?**

Yes. Field-level policies let you expose, mask, or encrypt specific fields per partner. One topic, multiple contractual views.

**How does partner usage tracking work?**

Usage metering tracks bytes, messages, and consumers per partner zone. Use for internal cost attribution, chargeback, or commercial agreement reporting.

**How fast can we onboard a new supply chain partner?**

A new partner zone can be configured in minutes via API or Console. No cluster provisioning, no network changes, no weeks of integration work.

**How do we handle partners in different regions?**

Partner zones can bind to regional clusters. Configure zones to route EU, US, or APAC partners to appropriate clusters for data residency.

## Launch your first partner zone

See how retail platform teams use Conduktor to share Kafka data with suppliers and carriers without infrastructure sprawl. Get a personalized demo.

[Book a demo](https://www.conduktor.io/contact/demo)
