# Brands10x — Autopilot for Online Stores

Canonical URL: https://alectorlab.com/work/brands10x-ecommerce-autopilot
Raw Markdown: https://alectorlab.com/work/brands10x-ecommerce-autopilot/raw
Industry: E-Commerce / Operations
Capabilities: Agentic AI, AI Product Engineering
Owner: Alector Lab – Enabling Technologies Ltd (direct)
Provenance: Alector Lab project record; commercial metrics are not independently audited.

## Summary
Run a whole Amazon, Shopify, and Walmart operation on autopilot — a team of AI agents handles listings, ads, inventory, and finance so the business can grow without growing headcount.

## Operational Problem
Running e-commerce operations across three marketplaces means constant manual work on listings, ad spend, and inventory sync — work that otherwise scales with headcount.

## Operating Context
Brands10x is built to act, not just report: it adjusts listings and ad bids and syncs inventory across channels directly, with human approval on high-impact decisions.

## Engineering Approach
A multi-agent system built on LangGraph and GPT-4, with agents assigned to specific operational domains (listings, ads, inventory) coordinated through a shared state graph and connected directly to marketplace APIs.

## System Architecture
1. Orchestration: LangGraph coordinating specialized agents per operational domain
2. Reasoning: GPT-4 for listing optimization, ad bid decisions, and exception handling
3. Marketplace Integrations: Shopify API and Amazon SP-API for listings, orders, and inventory
4. Human Review: Approval flow for high-impact actions (large ad spend changes, price changes)

## Implementation Details
Agents run continuously across the three marketplaces, handling routine listing, inventory, and ad adjustments automatically, and surfacing only the decisions that need human approval.

## Governance-Reviewed Outcomes
- Qualitative workflow record; numerical performance metrics are withheld unless formally signed off for public release.

## Technology Stack
- LangGraph
- GPT-4
- Shopify API
- Amazon SP-API

## Engineering Lessons Learned
- Agents that take real actions, not just recommendations, need a clear approval boundary for anything with financial risk.
- Multi-marketplace inventory sync is where much of the integration complexity lives, alongside the agent decision-making itself.