Amzigo
Automated Amazon Review & Seller Feedback Platform.
Amzigo empowers Amazon sellers to automate review and seller feedback requests in full compliance with Amazon's strict policies. WeGetDesign delivered a scalable Bubble application that seamlessly integrates with Amazon's Seller Central API and automates complex multi-marketplace workflows.
Client Context
Amzigo was founded to solve a critical challenge faced by every Amazon seller: building product reviews and seller feedback consistently, compliantly, and at scale. With over 9.7 million sellers on Amazon and 95% of shoppers reading reviews before purchasing, review volume directly impacts search rankings, conversion rates, and long-term business value.
The manual process of requesting reviews is time-consuming, inconsistent, and easy to forget. Meanwhile, Amazon's strict compliance requirements around review requests means that any automation tool must use Amazon's official "Request a Review" messaging system without customisation, incentives, or manipulation—violations can result in account suspension or permanent bans.
James Simcock, Amzigo's Founder & CEO, needed a technology partner who could build a robust application integrating deeply with Amazon's Seller Platform API, handle multi-marketplace complexity (UK, EU, USA), and process large-scale data operations for sellers with hundreds of products and thousands of orders.
Scale
London / Global / Global
Engagement
Discovery · Design · Develop · Support
The Challenge
Technical Complexity:
- Integration with Amazon's Seller Platform API across multiple marketplaces with different authentication requirements.
- OAuth connection flows for sellers to securely link their Amazon Seller Central accounts.
- Processing and managing large volumes of order data, product catalogs, and inventory information.
- Workflow unit consumption risks: sellers with 400+ products generating excessive server load.
Compliance Requirements:
- All review requests must use Amazon's official, uneditable messaging format.
- Strict one-request-per-order limitation.
- No incentives, customization, or marketing content allowed.
Data & Performance Challenges:
- Large Amazon reports exceeding 1GB (hundreds of thousands of products).
- Need to filter inactive and Amazon-generated products efficiently.
- Real-time email thread management and auto-response functionality via Mailgun.
Our Approach
Applying our core delivery model to mitigate risk and ensure governance.
Discover
Initial Assessment & Architecture Planning: WeGetDesign conducted a comprehensive application audit to understand Amzigo's infrastructure requirements. Key discoveries included:
- Workflow Unit Bottleneck: The primary scalability concern was Bubble workflow consumption. Sellers with disparate product volumes created dramatically different server loads.
- Multi-Marketplace Complexity: Amazon's API behaves differently across UK, Europe, and USA marketplaces, requiring sophisticated flow logic for OAuth connections and data synchronization.
- Data Processing Volume: Some Amazon inventory reports exceeded 1GB, containing hundreds of thousands of products that needed filtering and processing outside of standard database operations.
Design
Data Model Design: We designed a comprehensive database architecture with 20+ custom data types including:
- Account: Linking users to organizations.
- Campaign: Storing status, attachments, scheduled emails, and marketplace data.
- Order & Order-Product: High-volume Amazon order data.
- MarketFlowDB: Marketplace-specific data synchronization logic.
- Privacy Rules: Implemented on all data types ensuring users can only access their own organization's information.
Integration Architecture:
- Amazon Seller Platform API: Connected via custom WeGetDesign plugin.
- AWS: Employed S3 for large file storage and Lambda for compute-heavy data processing.
- Sendgrid/Mailgun: For reliable transactional emails and review requests.
Develop
Core Application Development: Built on Bubble with extensive custom plugin integrations:
- Amazon Authentication System: Implemented secure OAuth flows for UK, Europe, and USA marketplaces with automated refresh token management.
- Campaign Engine: Created sophisticated workflow architecture for creating, editing, scheduling, and automatically sending review requests based on order delivery status.
- Data Synchronization: Built daily scheduled workflows to pull fresh data from Amazon Seller Central (inventory reports, page views, restock schedules).
- Subscription Management: Integrated Stripe for multi-tier pricing (Starter, Growth, Pro, Enterprise) with usage tracking.
"Omar and the WeGetDesign team built our entire Amazon review automation platform and custom scraping infrastructure. When I put new projects out to tender, I prefer to keep development with them—the technical partnership just works."
James Simcock
Founder & CEO
Solution Overview
- Amazon Seller API Integration
- Multi-Marketplace OAuth
- Automated Review Campaigns
- Custom Web Scraping API (ASINintel)
Tech & Governance
Platform & Hybrid Architecture: Built on Bubble.io for rapid UI/logic iteration, utilizing AWS Lambda & S3 for heavy data processing (reports > 1GB) to bypass low-code timeouts.
Compliance & Security:
- Strict Policy Adherence: Automated logic ensures all review requests strictly follow Amazon's "Request a Review" policies to prevent seller account bans.
- OAuth 2.0: Secure authentication flows for marketplace access.
- Tenant Isolation: Robust privacy rules ensure strictly segregated data access for multiple sellers on the same platform.
Outcomes & Impact
Scalability: Enabled Amzigo to serve sellers managing thousands of products across UK, Europe, and USA marketplaces without performance degradation.
Cost Efficiency: Built ASINintel, a custom Amazon product scraping API, delivering >50% cost savings compared to commercial alternatives while providing richer data.
Operational Performance: Optimized Bubble Workflow Unit (WU) consumption, ensuring the platform remains commercially viable even with high-volume sellers.
Compliance Assurance: 100% compliant automation ensuring sellers avoid account suspensions while maximizing review generation.
Engagement Model
Strategic Technical Partner: We operate as a long-term partner, navigating complex Amazon API changes and marketplace expansions alongside the founder.
Continuous Optimization: Ongoing monitoring and refactoring of workflows to manage server load (WU consumption) as the user base scales.
Hybrid Delivery: Leveraging external code (AWS) for heavy lifting while keeping core business logic in low-code for agility and speed of change.
This is relevant for you if...
- You are building a SaaS product on top of complex third-party APIs (like Amazon).
- You need to process large datasets that exceed standard low-code limits.
- Strict platform compliance is critical to your business model.
- You need to optimize Workflow Unit (WU) consumption for high-volume operations.
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