Demand forecasting
Commit production, inventory and freight capacity with a forecast that beats the spreadsheet — and shows its math. Built on your order history, proven in shadow mode before it touches a real decision.
AI consultancy for supply-chain operations
AI that pays for itself.
We find where your supply chain leaks money — waste, freight, forecast error — and build AI that closes the leak. Measured in your numbers, not ours.
Services
Four ways we take cost out.
Cold-chain & loss reduction
Predict temperature excursions and spoilage before they become claims. Trace every loss back to the hour and the handoff that caused it. Every recovered unit is pure margin — and avoided emissions.
Process optimization & automation
Replace manual, error-prone back-office processes — documents, reconciliation, reporting — with AI that is faster, cheaper and auditable. This is where our largest delivered saving came from.
KPI visibility & dashboards
One trusted number for cost, shrink and CO₂ — assembled automatically from your ERPs, carrier portals and PDFs. Drillable by lane, customer and week, with anomaly alerts.
How we work
Gated, fixed-scope, no lock-in.
1
Discovery — free
A working session with the people who own the numbers. We map your chain, locate where the pain and the data actually live, and rank the opportunities on your figures — not industry averages.
2
Pilot — fixed fee, 90 days
Three gates: data audit, backtest, live shadow run. Stop at any gate and keep every artifact. Worst case is paid-for clarity — a management-grade answer to “how good is our process, in dollars.”
3
Scale — success-linked
Production deployment priced against realized metrics, if you prefer skin in the game. We build and operate the system, and stay accountable for the numbers it promised.
Estimates are labeled as estimates, with assumptions attached. Realized results are the only ones we quote as results.
Results
Delivered, not projected.
Case study · client confidential
−70%
cost vs. the client's previous outsourced process
For one of the world's five largest automakers (Brazil operations, ~€150B+ global revenue), we replaced an outsourced back-office process with an AI system — faster turnaround, fewer errors, at roughly 70% below the prior contract price. Contracted and realized, not projected.
Example engagement · illustrative
What this looks like in perishables
A grower-exporter commits planting and air capacity 8–14 weeks ahead of volatile holiday peaks. A demand-and-capacity forecast, backtested on two seasons and run in shadow mode for a third, targets 1–3 points of shrink and 5–10% lower peak freight spend — every point of which is also a CO₂-per-unit reduction.
Illustrative scenario with industry-typical figures, shown to make the method concrete — not a client result. Phase 1 of any engagement replaces these numbers with yours.
About
Operators' economics, banker's diligence, builder's speed.
AAMM Group is led by Alex Moussalli — economics at Insper, markets and credit training at Bank of America, Safra and XP, and a serial entrepreneur since. Every recommendation arrives as ROI math, not a technology pitch.
We work with supply-chain-heavy businesses — perishables, logistics, manufacturing — anywhere hours and degrees cost money. We build and operate the systems we sell; we don't hand over a slide deck and leave.
Tell us where it hurts.
One 60-minute working session. You bring the person who owns the forecast; we bring a scored map of where AI pays in your chain. You leave with a shortlist you can defend to the board.