Supply chain

Supply chains run on complex, integrated stacks—WMS, TMS, OMS, and ERP—where a single defect can ripple into costly delays. With frequent changes across Blue Yonder, Körber, SAP EWM, Manhattan Associates, and Oracle SCM, reliable testing is essential to keep operations stable.

The Synthesized platform delivers secure, production-like test data at scale so teams can ship updates faster, stabilize operations, and protect margins.

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Trusted by data teams at world's leading companies

Manual test data creation and fragmented environments struggle to mirror real-world fulfillment scenarios, from wave planning to last‑mile delivery. Data quality gaps across WMS, TMS, OMS, and ERP slow releases, inflate costs, and increase outage risk, especially during seasonal peaks. Compliance and privacy requirements add friction, while distributed teams wait on central bottlenecks for access to usable data.

Test data infrastructure fixes these issues by automating access to high-fidelity, production‑like data that keeps supply chain systems up to date.

Why synthesized

Synthesized is built for supply chain and logistics

Provision compliant, production‑like test data

Instantly generate high‑fidelity data for Blue Yonder, Körber, SAP EWM, Manhattan Associates, and Oracle SCM to reduce test cycle times.

Validate end‑to‑end fulfillment flows

Provide consistent datasets across WMS, TMS, OMS, and ERP to test inventory, order orchestration, and delivery scenarios with confidence.

Self‑service access for distributed operations

Give warehouse, transportation, and central teams on‑demand access to governed test data that eliminates approval and provisioning delays.

CI/CD‑native data refresh for faster releases

Automate data provisioning in pipelines so every build and hotfix runs against realistic, up‑to‑date supply chain data.

Generate

AI-powered test data generation

High quality, production realistic synthetic data generation. Design, generate and provision unlimited test-case specific datasets on-demand - in minutes - enabling continuous testing and AI-driven DevOps acceleration.

Mask

Eliminate data breach risk

Ensure regulatory compliance and reduce risk with AI-first test data automation that identifies, masks and secures sensitive data at scale across environments. Robust annonymization for PII compliance.

Subset

Access the right data, not all the data

Enable secure, role-specific data access with intelligent, automated data subsetting that reduces storage costs and eliminates wait times for new test environments.