We established a high-velocity, AI-native workflow focused on architectural integrity. By leveraging Cursor and Claude, we automated Tailwind UI scaffolding and TypeScript schema mapping. This shifted the effort from manual coding to senior-level orchestration of Next.js and Node.js. The result was a "pixel-perfect" dashboard built with 100% type safety, delivering enterprise-grade performance without the traditional overhead of manual boilerplate.

Approach

The agency developed a full-stack Order Management System as a digital "Control Tower" for supply chain orchestration. Built with Node.js and Next.js, the platform centralizes product data and affiliate links while automating the order lifecycle. The engine integrates REST APIs for automated routing and real-time status synchronization across diverse external fulfillment providers. This ensures end-to-end visibility and data integrity from order creation until final delivery.

Solution

The system hit near-zero latency, but the true win was our AI-native delivery. By using Claude for automated quality guardrails and Cursor for repository-wide refactoring, we achieved 100% data parity with zero regressions. This workflow proved that AI, when steered by senior talent, accelerates output by 40% without degrading codebase health. We delivered a reactive, scalable dashboard that perfectly aligns with a modern, AI-forward supply chain ecosystem.

Outcome

The system achieved reduction in manual routing errors, enabling volume scaling without extra headcount. Automated REST API syncs prevented over-selling and slashed service overhead. By ensuring real-time accuracy across all 3PLs, the platform turned the supply chain into a high-speed asset with near-zero latency. Furthermore, the AI-native workflow cut UI development time by 40%, delivering a senior-grade, scalable platform for new retail markets.

Business Impact

The core hurdle was a fragmented, manual workflow that lacked AI-driven automation. Managing disparate REST schemas and rate limits from fulfillment providers required constant human intervention, leading to data lag. We needed to replace these manual bottlenecks with a bulletproof Order Routing Engine. The challenge was building a high-performance Next.js system that maintained a senior-grade, type-safe codebase while orchestrating complex affiliate logic w/o manual friction

Challenge

AI-Augmented Supply Chain Orchestration

Data Masters

We established an AI-native workflow that fundamentally changed our velocity. This wasn't just about speed; it was about using AI-driven refactoring to maintain a senior-grade TypeScript codebase. We offloaded UI scaffolding to focus on high-value architecture, ensuring "instant-load" performance.

Anonymous

Outcome-driven:
We focus on measurable business value, not activity or buzzwords.

Co-creative:
We collaborate closely with clients and across roles sharing knowledge and building solutions people actually use.

High delivery standards & discipline:
Cost effective solutions with latest technology trends, scalable models, well-documented delivery.

Always learning:
Continuous upskilling, innovation, and building data literacy through client enablement.

Transparent & respectful:
Direct communication, honest feedback, and trust as the default.

Data Masters

About

Challenge, approach, and impact

Challenge

How we built

Testimonials

Team structure

Client team

Petar

Agency team

1 x Senior Full-stack Engineer

1 x Senior Frontend Developer

1 x QA/Devops Lead

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