E-COMMERCE INTELLIGENCE, END TO END

Signals in.
Decisions out.

ARCHITECT ingests your stack and the open market — shop, CRM and ad platforms plus 300+ commerce sources — detects what moves revenue, and turns it into store and ad-spend decisions. Every one cited, human-approved, validated against holdouts.

650,000+SHOPIFY STORES READ  ·  EVERY CLAIM CITED  ·  HUMAN-GATED SPEND
architect-engine v13 · pipeline #4172 · brand: aurelia labsDEMO
09:41:03INGESTshopify.orders → graph1.2k events
09:41:05SIGNALtiktok_ugc · "peptide serum"↑ 212% · 7d
09:41:08PATTERNcluster P-284 · 14 sourcesconfidence 0.81
09:41:09THESISdemand shift → serums DEexplainable ✓
09:41:11ACTIONmeta_ads budget +18% · DE→ operator queue
scripted example run · illustrative values · not a measurement
amazon.desephora.comdouglas.detiktok shopmeta ad libraryads transparency centerzalando.delookfantastic.comebay.comgoogle trendsredditinstagramyoutubegoogle shoppingamazon.desephora.comdouglas.detiktok shopmeta ad libraryads transparency centerzalando.delookfantastic.comebay.comgoogle trendsredditinstagramyoutubegoogle shopping
shopifyklaviyometa ads apigoogle ads apiga4triple whaleamazon adsstripe webhookstiktok ads apipinterest adsmicrosoft adsawincriteosendgridshopifyklaviyometa ads apigoogle ads apiga4triple whaleamazon adsstripe webhookstiktok ads apipinterest adsmicrosoft adsawincriteosendgrid
0+
Shopify stores read
0M+
product price observations
0
claim states on every channel
0%
of spend passes a human gate
REAL DOCUMENT

Read the document before the pitch.

A complete potential analysis on example data — the exact document a brand receives: honest channel states, the audit view and the decision ledger.

Open the sample analysisCLEARLY MARKED EXAMPLE DATA · NO LOGIN REQUIRED
/liveWatching the market right now

This feed is not a mock.

Our sweeper is reading the Shopify universe as you read this — store by store, into our own time series. What you see below comes from that database, seconds old. No shop is contacted by your visit.

/01The engine

Five disciplines. One deterministic spine.

Not another dashboard. ARCHITECT collects your stack and the open market, analyzes what moves revenue, optimizes store and ad spend — and verifies where a brand really sells.

01 · COLLECT

Data collection

Connectors for shop, CRM and ad platforms; crawlers for 300+ market sources — unified in one knowledge graph.

02 · ANALYZE

Market intelligence

Cross-source signals, trends and competitor moves — detected as they form, weighted by source authority.

03 · OPTIMIZE

Commerce optimization

Catalog, pricing and margin-true recommendations — computed on real landed costs, never estimates.

04 · SPEND

Ad system optimization

Budget and creative moves for Meta, Google and TikTok — proposed by the engine, approved by a person.

05 · VERIFY

Channel verification

Where a brand really sells: seven channels per market, four honest claim states, every claim cited.

/02Decision chain

Pre-structured causality. Not a black box.

Every recommendation traverses the same five-stage chain. Nothing executes without an operator's approval — and outcomes are validated against holdouts.

STAGE 01
SIGNAL EVENT
anomaly across sources
STAGE 02
PATTERN
clustered · deduplicated
STAGE 03
THESIS
explainable hypothesis
STAGE 04
RECOMMENDED ACTION
budget · price · content
HUMAN GATE
STAGE 05
DECISION
approved · written to the ledger
↺ VALIDATE — HOLDOUT LIFT IS WRITTEN BACK TO THE DECISION IT TESTS
/03Channel verification

Seven channels. One honest answer each.

For every market we check Amazon, the category's lead marketplace, TikTok Shop, Google Ads, Meta Ads, the brand's own store and social presence — and report exactly one of four states per channel. US, UK and the EU markets — including TikTok Shop availability per country.

CHANNEL PRESENCE — MARKET: DEBAR = EVIDENCE · COLOR = CLAIM STATE
0.92
Amazon
proven_present
0.78
Lead marketplace
proven_present
0.64
TikTok Shop
proven_present
n/v
Google Ads
not_verifiable
0.58
Meta Ads
likely_present
0.00
Own D2C store
not_found
0.44
Social
likely_present
proven_presentlikely_presentnot_foundnot_verifiable
/04Data & method

Every claim cited. Every release gated.

The exact record a client sees — evidence URLs, timestamps and four confidence types. From market claim to ledger decision, every signal weighted by where it comes from.

APPROVED ✓
LEDGER — DECISION RECORD
1{
2 "type": "decision", "id": "D-1042",
3 "thesis": "demand shift → peptide serums",
4 "action": "meta_ads budget +18% · DE",
5 "evidence": [
6 "tiktok.com/shop/de/p/74521",
7 "amazon.de/dp/B0C1184QX",
8 "trends.google.com/…/peptide+serum"
9 ],
10 "confidence": { "data": 0.92, "pattern": 0.81,
11 "causal": 0.74, "execution": 0.88 },
12 "approved_by": "operator:jk-014",
13 "validated": "+12.4% lift · holdout ✓"
14}
3 evidence urls ↗4 confidence typesapproved by a person · holdout-validated
5-TIER SOURCE AUTHORITY
Signals weighted by where they come from.
T1First-party / regulatory×1.00
T2Trade press / analysts×0.80
T3Established editorial×0.60
T4Blogs / influencers×0.40
T5UGC / social×0.20
SIGNAL MOMENTUM
+38% / 90d
Cross-source signals aggregated per brand and market.
INCREMENTALITY LOOP
Approved decisions are tested against holdouts — the engine audits its own recommendations.
proposedapprovedexecutedholdout · 21d+12.4% lift ✓
/05Claim states

Four states. No fifth.

Every channel claim is exactly one of these — never a blended score, never a guess.

proven_present

Listings verified against the brand — with product-page URLs as evidence.

likely_present

Strong but inconclusive signals — disclosed as inferred, never overstated.

not_found

Checked and nothing found. Never presented as proof of absence.

not_verifiable

Not checkable in this crawl or market — we say so instead of guessing.

/06How it works

Three steps between raw data and a decision you can defend.

A person approves the scope and every spend; the release gate in between is automated.

01

Connect

HUMAN GATE

Wire in shop, CRM and ad platforms; name category and markets. Our team approves every scope before anything runs — connector health stays visible.

02

Engine run

13 modules sweep your stack and 300+ market sources into one knowledge graph. Signals cluster into patterns, patterns into theses, theses into recommended actions — every number cites its source URL or is discarded.

03

Decide & validate

HUMAN GATE

Recommended actions queue for your approval. Approved decisions land in the ledger with evidence and four confidence types — then get validated against holdouts.

/08Principles

Our four limits — printed on every analysis.

01

Presence, not absence

A machine can prove a product is listed somewhere — never that it is listed nowhere. “Not found” never means “not present”.

02

Count, not quality

Machines count what is on a page. Every statement about quality, awareness or reputation carries a person behind it.

03

Directional market figures

Market sizes and growth rates are cited, directional context — never precision forecasts.

04

Proposes, never spends

The engine recommends; a person approves every spend. Autonomy is the roadmap — a human gate on money is the posture. Nothing that spends executes unreviewed.

START WITH THE ANALYSIS

Decide with evidence.