AI Solutions Architect & Developer Needed to Build an Intelligent Amazon Sourcing Platform
Бюджет: $500.0
FIXED /
⭐ 5.00 (1)
GBR
amazon-fba, english, very-small-1-9-employees, artificial-intelligence, api-integration, python, api
## AI-Powered Amazon Sourcing & Buying Platform
I am an Amazon UK reseller looking to build an AI-powered sourcing and buying platform that identifies, analyses and recommends profitable branded products for resale on Amazon UK. This is not a private label project. I currently use ChatGPT extensively and would be happy to continue using it, but I am completely open to alternative AI platforms, sourcing tools, APIs, automation software and databases if they provide a better solution.
I am looking for an experienced developer or AI solutions architect to recommend the best technology stack and build a scalable MVP. The platform should source or receive product opportunities, analyse them using AI, generate Buy/Watch/Avoid recommendations with confidence scores, opportunity scores, reasoning and suggested order quantities, store results in a searchable database and send configurable alerts.
Potential technologies may include OpenAI, Claude, Gemini, Make.com, n8n, Python, ArbiSource, SellerAmp, Keepa, SmartScout, Amazon SP-API, Google Sheets, Airtable, PostgreSQL or other solutions you recommend. I am not tied to any specific technology and welcome your advice.
The solution must be scalable, fully documented and designed for future enhancements such as inventory management, wholesale price list imports, supplier management, dashboards, Amazon SP-API integration and continuous learning from previous sourcing and buying decisions.
Please include in your proposal:
* Your recommended architecture and technology stack.
* Why you would choose it.
* Examples of similar AI or automation projects.
* Your proposed milestones, timeline and budget.
* Any suggestions that would improve the platform.
I am looking for a long-term technical partner rather than someone to complete a one-off project. If the MVP is successful, there will be ongoing work to expand the platform with additional AI features and integrations.
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