MarketForge AI

AI commerce intelligence platform helping e-commerce sellers turn product ideas into research-backed listings, visuals, and export-ready selling packages.

MarketForge AI is an AI commerce intelligence platform for sellers, agencies, and product teams. It combines product image acquisition, product intelligence, keyword research, competitor analysis, AI image generation, regional audience targeting, cloud asset management, and product content automation.

This repository is a public product showcase. Production code, scraping strategies, AI prompts, provider integrations, credentials, and operational workflows are intentionally private.

Table Of Contents

• Overview
• Business Problem
• Solution
• Key Features
• Product Screenshots
• Architecture Overview
• Technology Stack
• Future Roadmap
• Contact

Overview

MarketForge AI helps e-commerce businesses answer a simple commercial question:

Should I spend money importing this product?

The platform turns a product URL, supplier link, Amazon ASIN, CSV import, or product idea into a structured opportunity report with market demand, competition, keyword opportunity, listing recommendations, and an AI image plan.

Business Problem

E-commerce sellers often struggle to:

• Find profitable products before spending on inventory.
• Understand keyword demand and competitor pressure.
• Create high-quality product visuals.
• Produce optimized listings quickly.
• Adapt marketing assets for regional audiences.
• Export product packages into selling channels.

Solution

MarketForge AI combines product research, listing automation, and image generation into one seller workflow:

flowchart LR
    Idea["Product Idea / URL / ASIN / CSV"] --> Research["Market Research"]
    Research --> Score["Opportunity Report"]
    Score --> Keywords["Keyword Insights"]
    Score --> Competitors["Competitor Weaknesses"]
    Competitors --> Images["AI Image Plan"]
    Keywords --> Listing["AI Listing Content"]
    Images --> Package["Export Product Package"]
    Listing --> Package

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The result is a sales-ready product package with research context, copy, keywords, visual strategy, and export formats for commerce workflows.

Key Features

Product Intelligence

• Product opportunity scoring.
• Market demand analysis.
• Keyword insights.
• Competitor analysis.
• Score explanation and seller recommendation.
• Product comparison reports.

AI Content Generation

• Product titles.
• SEO descriptions.
• Marketplace listing copy.
• Ad copy and product metadata.

AI Visual Generation

• Premium product image strategy.
• Lifestyle image planning.
• Feature comparison visuals.
• Dimensions and benefit infographics.
• Regional audience creative adaptation.

Cloud Asset Management

• Cloud storage integration.
• Export workflows.
• Product package downloads.
• Team-ready report assets.

Product Screenshots

Screenshots should be captured from a sanitized demo environment only. Once you capture them, place them in screenshots/ using these names so the README can display them cleanly.

View	Purpose	File
Product Intelligence Dashboard	First impression of the SaaS workflow	screenshots/01-product-intelligence-dashboard.png
Opportunity Report	Shows the import decision report	screenshots/02-opportunity-report.png
Keyword Explorer	Shows keyword demand and opportunity	screenshots/03-keyword-explorer.png
Competitor Analysis	Shows market/competitor intelligence	screenshots/04-competitor-analysis.png
AI Image Plan	Shows research-to-image-generation connection	screenshots/05-ai-image-plan.png
Product Package Export	Shows seller-ready exports	screenshots/06-product-package-export.png

• Hero dashboard screenshot: screenshots/01-product-intelligence-dashboard.png
• Product opportunity report: screenshots/02-opportunity-report.png
• Keyword explorer: screenshots/03-keyword-explorer.png
• Competitor analysis: screenshots/04-competitor-analysis.png
• AI image plan: screenshots/05-ai-image-plan.png
• Export report: screenshots/06-product-package-export.png

See docs/screenshots/README.md for capture guidelines.

Architecture Overview

flowchart TB
    Seller["E-commerce Seller"] --> Dashboard["Product Intelligence Dashboard"]
    Dashboard --> API["Application API"]
    API --> Research["Research Orchestration"]
    Research --> Keywords["Keyword Provider Layer"]
    Research --> Market["Market & Competitor Signals"]
    Research --> Scoring["Opportunity Scoring"]
    Scoring --> Listing["Listing Generator"]
    Scoring --> ImagePlan["Image Strategy"]
    ImagePlan --> Generation["AI Image Generation"]
    Generation --> Assets["Cloud Asset Storage"]
    Listing --> Export["Marketplace Exports"]
    Assets --> Export
    Research --> Reports["PDF Reports"]

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Only the platform architecture is documented publicly. Core scraping logic, provider clients, scoring details, prompts, credentials, and automation internals remain private.

Technology Stack

Layer	Technologies
Dashboard	Next.js, React, TypeScript
API	FastAPI, Python
Workers	Celery, background processing
Data	PostgreSQL, Redis
AI	Image generation, image processing, content automation
Integrations	Keyword research providers, product research providers, cloud storage
Infrastructure	Docker, containerized services
Reporting	PDF and CSV export workflows

Future Roadmap

• Real Google Keyword Planner integration.
• Real Helium 10-style provider integration.
• Supplier discovery workflows.
• Amazon, Shopify, and WooCommerce export templates.
• User accounts, credits, plans, and team collaboration.
• Investor-ready and partner-ready product reports.

Repository Topics

Recommended GitHub topics:

ecommerce, artificial-intelligence, product-research, web-scraping, ai-automation, saas, computer-vision

Contact

This project is available as a private technical walkthrough, architecture discussion, or client demo on request.