Product

Persistent shopping agents for commerce intelligence.

Scoutly AI watches products over time, normalizes messy commerce data and explains whether a product is worth buying, waiting on or monitoring.

Core workflow

The product turns product URLs and marketplace listings into monitored entities with price, stock, seller, variant, review and history signals.

01

Track

Capture product pages, variants, sellers, stock states and visible price changes.

02

Normalize

Resolve duplicate listings and variants into a cleaner product graph.

03

Explain

Generate transparent buy, wait or watch notes with evidence and uncertainty.

Example output

A decision note users can actually trust.

Scoutly AI is designed to show the evidence behind a recommendation instead of presenting a black-box score.

WATCH iPhone 15 Pro Max · 512 GB
Current signal
Price is 4% above the 30-day low while stock remains stable.
Risk
No scarcity pressure detected; seller count is healthy.
Action
Wait for a better entry point, monitor daily changes and alert below target price.
Why
The current price is not bad, but the recent low suggests room for a cleaner buy window.

System design

Signals become auditable recommendations.

Commerce signals

Price, stock, seller, delivery, variants, reviews, attributes and historical movement.

Normalization layer

Deduplicate listings, match variants and keep a clean product graph over time.

Claude reasoning layer

Generate concise explanations, risk labels, structured summaries and decision notes.

User-facing agent

Keep watching selected products and surface changes only when the signal matters.

Use cases

Built for product decisions, not raw scraping.

Scoutly AI is designed for consumers and small commerce teams that need better context around pricing, seller reliability, availability and deal quality.

Deal qualityCompare current price with recent lows, stock status and seller context.
Watch agentsKeep monitoring products after the first session and alert when conditions change.
Research summariesCondense price history, reviews and product attributes into decision-ready notes.

Roadmap

Phase 1

Public verification and product narrative

Company website, bilingual homepage, verification page, LinkedIn presence and founder linkage.

Phase 2

Tracked product workspace

Saved product URLs, normalized product records, price history and stock-state monitoring.

Phase 3

Claude-powered decision support

Structured summaries, buy/wait/watch explanations, risk labels and evaluation loops.

Phase 4

Persistent shopping agents

Agent alerts, target-price workflows and product watchlists for consumers and small commerce teams.