AI-native commerce intelligence

Know what to buy, when to buy, and why.

Scoutly AI monitors price, stock, product attributes, reviews and price history, then turns that data into normalized product intelligence and persistent shopping agents.

Founded October 2026 Istanbul, Turkey Price & stock monitoring Entity matching Deal quality reasoning Shopping agents

One product graph

across stores, variants and sellers

Persistent agents

that keep monitoring after the session ends

Reasoned decisions

instead of price-only alerts

Current build

Early product, clear implementation path.

Scoutly AI is in an early build phase focused on product tracking, entity normalization and explainable shopping decisions. The public website, company verification pages, LinkedIn company presence and founder profile are live while the product workflow is being built iteratively.

LivePublic company website

Domain, SSL, verification pages and bilingual homepage are available.

LiveCompany identity

LinkedIn company page, founder profile and domain-matching email are published.

BuildingCommerce intelligence agent

Tracking, normalization, scoring and Claude-powered explanations are the product focus.

Demo

From messy product pages to clear buying signals.

Product URLCaptured
Variant & seller matchingNormalized
Price historyTracked
DecisionWait for drop

How it works

01

Collect

Scoutly follows product pages, marketplace listings, stock states and visible price changes.

02

Normalize

It resolves sellers, variants, attributes and duplicates into a cleaner commerce graph.

03

Reason

Agents explain whether a price is attractive, risky, scarce, inflated or worth waiting on.

04

Act

Users get decision-ready alerts and summaries instead of raw scraped data.

Company

Independent commerce intelligence, built from Istanbul.

Scoutly AI is an early-stage startup founded in October 2026 by Cüneyt Yücetepe. The company is building AI-native product research, price monitoring and shopping-decision infrastructure for consumers and commerce teams.

Our goal is to make product decisions more transparent: users should understand price history, seller quality, availability, review signals and the reason behind a buy, wait or watch recommendation.

Verification details

Company
Scoutly AI
Founded
October 2026
Founder
Cüneyt Yücetepe
Location
Kağıthane, Istanbul, Turkey
Address
Sultan Selim Mahallesi, Balcı Sokak No:10 Daire:7
Website
scoutlyai.tr
Status
Bootstrapped, early-stage

Public activity

Verification signals are public and consistent.

01

Company domain

The product website runs at https://scoutlyai.tr with a domain-matching founder email.

02

Company LinkedIn

Scoutly AI has a public company profile and posts describing the product, founding date and Claude use case.

03

Founder profile

Cüneyt Yücetepe lists Scoutly AI as a current Founder role, connected to the public company page.

Claude integration

Claude turns commerce signals into clear decision support.

Scoutly AI plans to use Claude for structured product research summaries, deal-quality reasoning, buy/wait explanations, price-change narratives and transparent alerts. The system is designed to explain uncertainty and evidence rather than present shopping decisions as guarantees.

Structured outputsNormalize product, seller, variant, stock and review signals into consistent summaries.
Tool useLet persistent agents monitor product pages and reason over updated commerce data.
EvaluationCompare explanations against source signals so recommendations stay auditable.

Team

Built by Scoutly AI.

Scoutly AI is an early-stage commerce intelligence startup founded in Istanbul, Turkey in October 2026 by Cüneyt Yücetepe. We are building AI agents that make product research, price tracking and shopping decisions more transparent.

Contact

Cüneyt Yücetepe
Founder, Scoutly AI

[email protected]

Scoutly AI on LinkedIn
Founder LinkedIn profile

Pilot program

Looking for early product tracking use cases.

Scoutly AI is collecting pilot use cases from consumers, builders and small commerce teams that need repeatable product monitoring, price context and explainable shopping-agent alerts.