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The systems

We don't sell services.We install systems.

A service is effort you rent monthly. A system is infrastructure that stays installed — documented, automated, and measured. East Star builds 4, on one shared intelligence layer.

010%Days-of-cover accuracy — trailing 90d
02−0 ptsTACOS vs target — trailing 90d
03+0%CVR delta — median test winner, 2025
04+0 ptsContribution margin Δ — TTM

The architecture

4 systems. 1 layer. 0 silos.

Each system can run alone. None of them is designed to. Every signal — velocity, spend, conversion, margin — routes through one intelligence layer, so a stock position can pause a campaign and a margin change can reprice a SKU without a meeting in between.

That routing is the product. The systems below are the 4 places it becomes a decision.

See how the layer is built
01 DEMAND &INVENTORY OS02 ADVERTISINGINTELLIGENCE03 LISTING &CONVERSION04 PROFIT &PRICING ENGINEINTELLIGENCELAYERZONE: SYNTHESIS23 SIGNALS / DAY

Signals route through the layer — never system-to-system directly

The interlock

Connected is a claim. Here are the signals.

6 of the 23 signals the layer routes daily. Each one replaces a meeting.

FromSignalToDecision it gates
01 DemandDays of cover ≤ 2802 AdvertisingCampaign budgets throttle before a stockout burns rank.
02 AdvertisingAd-attributed velocity01 DemandForecast separates paid demand from organic before reordering.
04 ProfitMargin per SKU02 AdvertisingBid ceilings are set by contribution, not ACOS.
03 ListingCVR by placement02 AdvertisingTraffic is only bought for pages proven to convert it.
04 ProfitAging inventory cost01 DemandMarkdown logic triggers before storage fees exceed margin.
01 DemandRestock ETA03 ListingTest queue pauses on SKUs about to go dark.

01 Demand 02 Advertising

Days of cover ≤ 28

Campaign budgets throttle before a stockout burns rank.

02 Advertising 01 Demand

Ad-attributed velocity

Forecast separates paid demand from organic before reordering.

04 Profit 02 Advertising

Margin per SKU

Bid ceilings are set by contribution, not ACOS.

03 Listing 02 Advertising

CVR by placement

Traffic is only bought for pages proven to convert it.

04 Profit 01 Demand

Aging inventory cost

Markdown logic triggers before storage fees exceed margin.

01 Demand 03 Listing

Restock ETA

Test queue pauses on SKUs about to go dark.

Full signal register ships in the audit report — 23 signals, documented

Automation with judgment

The machine executes. Humans decide.

The machine executes
  • Data ingestion 14.2K RECORDS/DAY
  • Forecast refresh DAILY, PER SKU
  • Bid changes within approved rules 12 RULES LIVE
  • Reorder-point math 96 SKUS
  • Anomaly alerts ≤15 MIN LATENCY

Every pipeline has a named human owner and an override path.

Overrides logged · coverage reported like a KPI
Humans decide
  • Rule and threshold changes
  • Pricing strategy and repositioning
  • New-product forecasts — no history, no autopilot
  • Supplier and cash trade-offs
  • Every override, and what it taught the system

Automation coverage across 2025 engagements: 71%, trailing 90 days. The remaining 29% is judgment — by design.

Installation

Installed in phases. Measured at every gate.

Systems install through the 4-phase engagement model — audit, design, build, operate. Metrics are agreed before price. The audit report is yours to keep either way.

See the engagement model
  • Audit — 14 days · read-only access
  • Metrics stated before price — always
  • Forecast vs actual — published monthly

Start with the system your P&L is asking for.

The audit identifies which of the 4 systems moves your margin first — with the model to prove it.