Amazon FBA Analytics & AI Dashboard Developer | SP-API, SQP, Ads API, H10

# AI-Powered Amazon Seller Analytics Dashboard I am an experienced Amazon seller looking for a developer to build a custom business intelligence and AI analytics platform for my Amazon business. This project will combine data from multiple Amazon and third-party sources into a centralized dashboard, with automated historical comparisons, drill-down analysis, and an AI-powered conversational analytics layer. ## High-Level Scope The system will need to integrate data from sources such as: * Amazon SP-API * Amazon Ads API * Amazon Brand Analytics / Search Query Performance * Third-party Amazon keyword/ranking APIs * Third-party competitive intelligence APIs * Internal product cost and business data The dashboard will consolidate and analyze metrics across multiple levels of the business, including: * Account * Product category / Parent ASIN * Child ASIN / SKU * Advertising campaigns * Keywords / search terms Core functionality will include: * Centralized KPI dashboard * Historical data storage * WoW, MoM, and YoY comparisons * Interactive drill-down analysis * Change-driver analysis * Trend and anomaly detection * Experiment/change tracking * Advertising performance analysis * Search and market-share analysis * Inventory/operational monitoring * Competitive benchmarking * AI / conversational analytics The AI component should sit on top of a structured analytical backend rather than simply receiving raw data. For example, the underlying system should be capable of calculating and identifying meaningful changes and their contributing factors, while the AI layer interprets those results and allows the user to ask natural-language questions about business performance. ## Example User Experience A user should eventually be able to ask questions such as: * Why did profit change this week? * Which products contributed most to the change? * What changed in advertising performance? * Are there unusual changes that deserve attention? * What are the most important opportunities or risks right now? The dashboard should also allow the user to investigate these questions manually through intuitive drill-downs. ## Technical Background We're Looking For Strong candidates should have experience with some combination of: * Amazon SP-API * Amazon Ads API * Amazon Brand Analytics data * Data warehouses / relational databases * ETL / API data pipelines * BI dashboard development * Python and/or SQL analytics * LLM APIs and tool/function calling * AI agents over structured business data * Statistical / time-series analysis Experience building software specifically for Amazon sellers, e-commerce analytics, advertising analytics, or marketplace intelligence is highly desirable. ## Architecture I am not looking for a basic dashboard that simply displays API data. The expected architecture is roughly: **APIs → Database/Warehouse → Analytical Engine → Dashboard → AI Analyst** Calculations and business logic should be handled deterministically through the backend where appropriate, with the LLM used for interpretation, investigation, and natural-language interaction. ## Project Status I have already developed a detailed functional specification based on years of operating an Amazon business. The specification includes: * Desired dashboard structure * Metrics * Analytical workflows * Data sources * API availability * Drill-down logic * AI use cases * Example outputs I will share the detailed specification with shortlisted candidates rather than including the full analytical methodology publicly. When Applying Please include: Cost estimate and estimated timeline for a V1 consisting of approximately: About 50 Amazon SKUs 5–6 API/data-source integrations ~5 primary dashboard views/reports Historical data with WoW, MoM, and YoY comparisons Drill-down/change-driver functionality LLM / natural-language analytics A Loom video showing the most relevant analytics dashboard you have personally built. E-commerce is preferred; Amazon experience is a major plus. Bonus: Show a dashboard that does more than display KPIs and can identify trends, anomalies, or the underlying drivers of performance changes. I will share the detailed functional specification with shortlisted candidates.