Built for one person
CFO / Owner at the Monday-number gap
It's Wednesday. The Monday number still isn't in.
Tension
The Monday call gets made on gut, not data — and every week the gap costs margin nobody can quantify.
Dream — if it just worked
The Monday number lands in the inbox before the kettle boils — and the next pricing call gets made on Monday's data, not last week's memory.
First positive step
Approve Stage 1 — 90 days, NZD $54K, written kill switch at Week 8.
Reward for acting
By Day 90 the Monday report lands automatically — or the kill switch fires and the spend stops where it started.
Crackerjack · Discount Retail · AI Transformation Briefing
Answer Monday's number on Monday.
The Monday number, automated. 90 days to build it. NZD $54K — with a written kill switch at Week 8. If the report doesn't land automatically, you stop. The cost of being wrong is capped before any work begins.
Stage 1 · 90 days · NZD $54K · kill switch named
The wound today
Every Monday, 15 stores make stock and pricing calls without last week's data. The Monday number arrives Wednesday — decisions are already in motion, made on gut, not data.
The win after the proof loop
One substrate. 90 days. Catalogue, FX, and store-stock aligned in a single automated loop — so Monday's decisions get Monday's numbers.
Enemy clock
24
months to establish pricing-accuracy advantage
Why the clock matters
The Warehouse Group is 18–24 months ahead.
Look Sharp is the direct analogue at 2× store footprint. Wesfarmers brings AUD-scale buying power and a data edge. The mid-market window closes in 24 months — whoever owns pricing-accuracy first owns the next decade.
30 hrs/day
Replenishment time reclaimed
NZD $54.5K
Bounded Stage 1 bet — kill switch named
9 months
Conservative payback — Month 9
13×
More evidence-based catalogue learning loops / year
The 90-day shift
The same data. Wired differently.
Today, seven systems each hold a piece of the Monday number. The CFO assembles it by hand on Wednesday. Monday morning, post-Stage 1, the number lands in the inbox before the kettle boils.
Input
POS, e-com, ERP, catalogue, finance, and email club fragments
Loop
Unified BI substrate with the weekly analysis loop automated
Output
Monday number in the CFO inbox at 8am
Stage 1 · 90 days · UC1 + UC2 · kill switch named
Tight Five · action signals
What the reader must not ignore.
Five short forces that frame the decision before the detailed pages take over.
Discount tier grows. Data lags.
NZ discount-retail share has grown every quarter since the 2023 cost-of-living shock.
Competitors build data. Move now.
The Warehouse Group is 18–24 months ahead on group-level data infrastructure.
NZD moves while you guess.
60–70% of COGS is FX-exposed. 8–12% annual NZD/USD range. No documented hedge model.
AI rewires how people shop for value.
Price comparison and deal-hunting automate in the next 24 months. Retailers with clean data ride the wave; the rest won't see it coming.
Build once. Comply and analyse.
NZ Privacy Act 2020 substrate is the same substrate that powers the Monday number.
Five Lenses · one transformation
Primary moves first. Enablers where they compound.
Each lens lands on its own anchor question. The weighted labels show which readers should open which page first.
Grow Demand
2 live saleIds run today with no attributed revenue figure — 100% intuition-led catalogue planning.
Deliver Value
15 stores × 1.5-2.5 hrs/day on replenishment comms = ~30 hrs/day saved by automating the reorder loop.
Protect Trust
Weekly/fortnightly catalogue cadence — 13+ evidence-based saleId cycles in Year 1 once attribution ships.
Fund Future
5x return on Stage 1 floor; bounded NZD $54K bet with named exit at NZD $65K if Monday number does not arrive.
Build Platform
7 platform hops in the weekly Business Analysis cycle today; 5 of 7 are artifact work — eliminate in Stage 1.
Supporting instruments
Companion pages that turn the pitch into a decision.
Pitch to action
10 mantras — 5 Outside-In market signals + 5 Inside-Out business signals.
Benefit ledger
3 scenarios × 24 months — conservative breakeven Month 9.
Critical path
90-day week-by-week + 4-stage roadmap with named owners.
Must readDecision summary
What to decide this week — 4 GO conditions, 5 next actions.
One-page plan
Commercial strategy on one screen — fee, payback, benefit:cost, the ask.
What to do this week
Decide by Day 7. Ship by Day 90. Walk by Week 8 if Monday's number doesn't land.
Three numbers — NZD $54K, Week 8, Month 9. Budget capped. Kill switch written. If the Monday report doesn't land automatically by Week 8, you stop at NZD $30–40K sunk. Knowing you're right pays NZD $362K to $1.36M over 24 months.
Put this to work
Scan this proposal with your own AI assistant
For the OwnerCopy this prompt. Paste into Claude, ChatGPT, or any AI assistant. The page context is already loaded — send it and get analysis tailored to your role.
I run a 15-store NZ discount retail business. My team just received a 90-day AI transformation proposal — NZD $54,500 Stage 1 with a kill switch at Week 8. THE CORE PROBLEM: Our Monday merchandising report (sales, inventory, FX impact across 15 stores) takes 7-13 hours to compile manually and arrives Wednesday. Every weekly decision lags 2-4 days behind reality. THE PROPOSAL'S BET: A unified BI substrate (BigQuery + ingest pipeline) delivered in 90 days. If the Monday number doesn't land automatically by Week 8, we stop at NZD $30-40K sunk cost. WIDER CONTEXT: The Warehouse Group is 18-24 months ahead on group-level data infrastructure. NZ discount-retail share has grown every quarter since the 2023 cost-of-living shock. The mid-market window to establish a pricing-accuracy advantage is roughly 24 months. FINANCIAL FRAME: Conservative payback Month 9. 24-month net benefit range NZD $362K (conservative) to NZD $1.36M (optimistic). Risk-reward asymmetry 3.5× (conservative benefit floor vs walk-away cost). I'm scanning this proposal cold and need to know whether to read every page or trust my CFO's read. What are the 3 most important pages I should read first based on my role as the owner? What single sentence captures whether this proposal is worth our attention?