Where to deploy, which to close, where to compete — each answer is worth hundreds of thousands a year, per machine. AMI's flagship product runs the whole estate through one engine: a four-level P&L for every ATM, the entire market on one map, the cash inside the machines, and the forensics when they misbehave.
Transaction analytics and a four-level P&L for every ATM in the estate — so the question "is this machine worth keeping?" has an answer, not an opinion, and a site in decline surfaces long before the annual review.

Millions of transactions, approval and decline rates, and your-cards-versus-others split — current, every day.

Revenue, direct cost, allocated cost and contribution — the machines that earn and the ones that bleed, ranked.

Month-on-month shifts per ATM — a machine losing volume gets flagged while relocation is still cheap.

Every ATM view — P&L, cash, incidents, forensics, advisor — reached from a single hub.
Spatial analysis over the whole market — hexagonal demand indexing, multi-criteria site scoring calibrated to your network, and the competitor machines your own cardholders are already walking to.

Your estate and every competitor ATM live — see where your cardholders withdraw from someone else's machine.

Where you pay interchange for your own cardholders' withdrawals — and where placing a machine wins it back.

Hexagonal indexing turns messy geography into demand cells you can score, rank and compare like-for-like.

Multi-criteria weighting tuned to your market — so a site score reflects your network, not a vendor's default.
An ATM without cash is a billboard for the bank next door. Demand forecasting and utilisation per machine mean replenishment is planned against predicted need — not against last month's habit. (The branch-and-vault side lives in Cash Intelligence.)

Forecast withdrawals per ATM with the drivers behind them — load tomorrow's cassettes on evidence.

Machines stuffed with idle cash and machines flirting with empty — both cost money, both surface here.
Electronic journals record everything the machine actually did. Mining them turns anecdotes into patterns — ghost transactions, component failures and downtime categorised automatically, so your team acts on signals, not surprises.

Outages, component failures and downtime categorised from the journals — ranked by business impact.

EJ coverage and anomalies monitored continuously — the hidden failure patterns a fault code never shows.
Every machine, contract and SLA in one registry — including the competitor estate, so market share is a number rather than a guess and no lease expires by surprise.

Every ATM in the market, by operator — your share, their share, and where the gaps are.

Leases, vendor contracts and SLAs tracked with expiry alerts — renegotiate on your timeline, not theirs.
These screens run on live bank data — this is the product AMI is proven on. The fastest way to judge the fit is to see the same dashboards built on a sample of yours.