AI-powered SaaS app for Amazon FBA restocking

Subscription-Based SaaS Tool to Automate Amazon FBA Restocking with AI/ML

Active Inventory - USAE-commerceSaaS Application2 Resources4 months + enhancements

Challenges

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Amazon Data Complexity: Sales, inventory, and shipment data needed to be synced for real-time AI recommendations.
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Inventory Volatility: Rapid changes in FBA stock levels and delays in Amazon reporting required predictive buffer strategies.
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Demand Forecasting Accuracy: Seasonality and product lifecycle trends needed to be accounted for to avoid overstock or stockouts.
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Procurement Logic: Mapping forecasted demand to vendor-specific purchase rules and MOQ constraints was non-trivial.
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Scalability: The system had to support thousands of SKUs across multiple Amazon marketplaces without performance degradation.

Want to launch your own SaaS product for Amazon Sellers with AI and subscriptions? Learn more about our SaaS Application service.

Tools & Technologies

JavaSpring BootReactJSBootstrapPostgreSQLAmazon SP-APIStripe (Billing)Linux (Ubuntu Hosting)DockerNginxApache Kafka

5/5

The product developed by Tirnav Solutions works as the client expected, demonstrating a great talent for translating concepts into technical solutions. The team is highly communicative and responsive via Skype, and they’ve been very flexible and accommodating to project changes.

Anonymous - Owner, Third-Party Amazon Seller

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Solution

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SaaS Platform with Subscriptions: Built a secure multi-tenant app with support for monthly and yearly Stripe-based billing.
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AI Recommendation Engine: Developed a AI/ML powered model to suggest optimal restocking quantities from Amazon sales data.
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SP-API Integration: Integrated Amazon’s Selling Partner API to fetch and sync inventory, sales, and FBA Shipment data.
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Custom Procurement Rules Engine: Developed a configurable rule engine to recommend order quantities aligned with supplier MOQ and restock windows.
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Custom ReactJS UI: Crafted responsive UI from Word mockups using React and Bootstrap with clear UX patterns.
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Admin Dashboard: Built a super admin panel to manage users, plans, usage, and error logs.
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CI/CD on Private Server: Deployed using Git, Docker, and PM2 on a private Ubuntu server with nightly backups.