Valley Pure. Systems Audit · Field Report
Window
Scope
28-day systems audit Treez · Alpine IQ · five stores · Central Valley · built from Valley Pure's own data
Weekly net sales · stacked by store · YTD
What the ledger shows five findings · ordered by dollar impact
Where the audit stands layers running in parallel · baseline complete, sync + teardown underway

Performance

The Treez sales baseline for the selected scope. Trailing 60 days against the prior 60, year-to-date totals underneath. AOV is net sales per transaction so every number on this page reconciles.

Weekly net sales

All stores · weekly · YTD

Where the revenue lives

YTD net sales share by store

Store comparison

Trailing 60 days vs prior 60 · select a row to focus that store

Revenue mix

What Valley Pure sells, who supplies it, and where orders come from. Year to date, all stores — Treez dimension exports carry no store split, so this page ignores the scope filter.

Net sales by product type

YTD share of net · per-category discount rate

Where orders come from

YTD net by revenue source

Top 20 brands

YTD net · margin · discount rate — margins under 35% flagged

Margin watch

Brands over $50k net running below the ~44% house average

Order rhythm

When customers actually buy, hour by hour and day by day. This is the timing layer send-time recommendations get calibrated against. Year to date, all stores.

Tickets per hour across the week

Deeper green means busier. Peak cells labeled.

The daily curve

Avg tickets per hour, with avg order value overlaid

Tickets / hr AOV

Day of week & peak days

Avg daily tickets · biggest days YTD

Biggest days · YTD

Explorer

Weekly Treez series, year to date. Switch metrics; use the scope bar to focus a store. Hover any chart for exact weekly values.

Net sales

Weekly · all stores

The audit

Four layers of verification, then the deliverable. Access is in hand across Treez and Alpine IQ, so layers run in parallel rather than in sequence — the baseline is complete, and sync verification and the campaign teardown are both underway now.

Layer 00 · Sales baseline

Complete · this report

Year-to-date Treez record read line by line: $11.3M net, five stores, product mix, brand margins, order timing. Five findings logged on the briefing page before any platform work.

Layer 01 · Sync integrity

In progress

Access is in hand. Alpine IQ exports are being pulled and linked against the Treez record now. Is the Treez to Alpine IQ pipe telling the truth? Tested per store, reported pass, warn, or fail with the fix documented.

Profile merge — one customer, one AIQ profile across all 5 storesTreez + AIQ
Real-time loyalty — points accrue and redeem without overnight lagTier 6
Opt-in status — SMS and email consent syncs correctlyAIQ
Behavioral signal — SKU-level purchase data lands on the profileTreez

Layer 02 · Campaign teardown

In progress · running alongside Layer 01

Six months of Alpine IQ sends scored on attributed revenue, not open rates. The sends that earn, and the ones quietly burning the list. Populates this report as the AIQ campaign data lands.

Attributed revenue by campaign — strict closed-transaction windowsAIQ
Opt-out velocity and deliverability trendAIQ
Send frequency map — over-mailing and dead zonesAIQ

Layer 03 · Utilization scorecard

Queued · next up

Every feature Valley Pure pays for, mapped ACTIVE, PARTIAL, or NOT ON. One hard percentage on how much of the platform is actually working. Includes the Dispense vs AIQ Ecommerce question raised by this report.

AIQ Flows, Loops, Personas, behavioral segmentationVerify
Abandoned cart, referral, e-commerce integrationVerify

Layer 04 · API readiness

Queued

Every completed sale at any of the five registers should be a real-time marketing signal. These connections make that true.

Treez API keys — tickets, inventory, customersTreez
TICKET_STATUS webhooks with full receipt detailTreez
Tier 6 two-way Treez ↔ AIQ integrationBoth

Deliverable · ROI roadmap

Final week

The prioritized activation plan: what to turn on, in what order, and the revenue logic behind each call, built from the four layers above and the findings in this report.

Valley Pure — AI Marketing Engine · Systems Audit Prepared by Tuff Ghost Media Source: Treez exports ·