Amazon FBA · AI Engineering

The FBA
AI Architect

I measured 150 products across 30 niches against a simulation of Amazon's AI. Then I build for what it rewards.

I embed with your team for four to six weeks and leave one workflow running end to end in your own environment. Listing and AI discovery, inventory intelligence, PPC automation, competitive analysis, multi-agent systems, portfolio operations — whichever one is costing you the most time.

David Daddi — FBA AI Architect

Selling on Amazon became a profession. AI absorbs the complexity. You operate the business.

What I actually build for FBA brands

One workflow, built properly, before anything else is touched.

Where most start

Listing & AI Discovery

AI-ready listing rebuilds, COSMO semantic mapping, Competitor Angle analysis, and Recommendation Share measurement — how often a simulation of Amazon's AI favors your listing over competitors. Often the first workflow we take on: a precise read on where you win the recommendation, and where a rival does instead.

Day-to-day operations

Operational AI

PPC bid intelligence, inventory demand forecasting, pricing elasticity systems, stock risk automation — built directly on your SP-API data. The infrastructure that lets a small team run a large catalog without constant manual intervention.

The bigger picture

Strategic & Portfolio AI

Multi-brand command centers, competitive intelligence pipelines, brand analytics mining, and portfolio-level governance for operators managing multiple SKUs, brands, or acquisitions — where capital efficiency and AI meet.

The Research

State of AI Recommendations on Amazon

A quarterly study: 150 products across 30 niches, measured against a simulation of Amazon's AI shopping assistant. What it rewards, what it ignores, and how far apart the two are.

Read the Q3 2026 report →
17%

of the time, the #1 best-selling product was the AI's first recommendation. The other 83% went to a lower-ranked rival.

22%

of buyer questions had no product answering them at all — open territory, won by default.

Tools I've Built

From internal audit systems to open-source PPC tooling and a SaaS listing optimizer.

ABOS / FirmAIn Proprietary · Internal

A proprietary multi-agent AI operating system for Amazon FBA — specialized agents for inventory, pricing, PPC, portfolio governance, and M&A due diligence, governed by a human-in-the-loop permission engine.

Keoxs Co-pilot Open Source

A PPC management tool for Amazon sellers. Built to simplify campaign structure and reduce wasted ad spend.

View on GitHub →
Keoxs AIO SaaS

The first Amazon listing optimizer built on Amazon's own AI research. An 8-agent pipeline, 22 tools, and a free Forensic Audit. Built to win Alexa for Shopping recommendations, not keyword rankings.

Explore Keoxs AIO →

Stay ahead of the AI shift on Amazon

No fluff, no hype — just what I'm actually learning about AI and Amazon FBA, when it's worth sharing. Free. Unsubscribe anytime.

Free · No spam · Unsubscribe anytime