Architecture Design Portfolio
Visual workflow and architecture diagrams for the automation pipelines, data flows, and operational tooling built around Amazon selling operations — designed to show exactly how each system works, step by step.
Automation Pipelines
B2B ordering, RPA, inventory, repricing
AI & Agentic Workflows
LLM orchestration, tool execution, decisions
Data & Integration
SP-API, n8n, Slack, warehouse sync
Architecture Designs
Node types
Order automation pipeline
Step — :
Automated B2B order entry pipeline built to handle Amazon Seller Central orders through multi-threaded Node.js workers that log into supplier portals, validate and submit orders, and sync confirmations back to the internal order management system.
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Workflow automation
Step — :
Webhook-triggered n8n automation flow for Amazon inventory management. Fetches live inventory levels via SP-API, evaluates stock thresholds, and branches to create reorder purchase orders while sending Slack notifications for low-stock SKUs.
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AI-assisted automation
Step — :
LLM-orchestrated agent workflow where an AI orchestrator dispatches parallel tool calls for price checks, inventory status, and competitor analysis. Results feed a decision engine that triggers automated repricing or reorder alerts based on live signals.
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Robotic process automation
Step — :
WinAutomation-based RPA pipeline for high-volume back-office order entry across supplier portals. Concurrent worker threads process validated Amazon dropship orders and sync confirmation data back to the order management system.
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Inventory automation
Step — :
Merchant-fulfilled network inventory automation that deducts stock on order receipt, evaluates reorder thresholds, triggers purchase orders, syncs warehouse counts, and updates listing status between active and out-of-stock dynamically.
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API integration architecture
Step — :
Architecture behind the amazon-paapi NPM package — a Node.js wrapper for Amazon Product Advertising API 5.0. Handles request signing, endpoint routing, response normalization, and catalog data delivery so developers can integrate Amazon product data in minutes.
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Analytics SaaS architecture
Step — :
Internal analytics command center consolidating sales, inventory, and advertising data into a single decision-support system. Processes 1M+ records using background workers, a criteria-based rules engine, and ML-assisted classification before surfacing insights in a React dashboard.
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Price intelligence pipeline
Step — :
Distributed competitor price monitoring pipeline using headless browser automation and rotating proxies to scrape Amazon listings at scale. Price data feeds a buy box analyzer that applies repricing rules and pushes updated prices to listings to maintain competitive positioning.
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