Mapboard by industry

Fewer branches every year, and each one carries more weight.

Branch density worldwide has been falling since 2012, and around each surviving branch sits a fleet of ATMs that appear on Google Maps as Locations with listings of their own, many with no clear owner, no verified hours and no way to signal that they are out of service. Mapboard makes that whole network legible and governable: branch by branch and ATM by ATM. And it turns what the customer complains about (an ATM that swallowed the cash, a ninety-minute queue) into a case with an owner, a severity and evidence that it was handled.

The vertical, in numbers

11.1

commercial bank branches per 100,000 adults worldwide in 2024, down from 12.7 at the 2012 peak: the physical network keeps shrinking, so every branch that survives carries more weight

World Bank, indicator FB.CBK.BRCH.P5 (world aggregate)

01 · What hurts in this vertical

Problems you already know.

01

The complaint carries a regulatory clock and still travels by loose email

An ATM that kept the cash, a ninety-minute queue, how someone was treated at the counter. These are complaints with regulatory implications, and the handoff from whoever receives them (Marketing, social, the switchboard) to the regional director who can resolve them happens with no reference number, no severity and no record that it landed. When the regulator or the board asks what was done, the answer should be an activity log with a timestamp and an author, not somebody's version.

02

The ATM the map shows available when it is out of service

A bank can operate ten ATMs for every branch. Each ATM is a Location with its own listing on Maps, but almost none has an assigned owner, verified hours or any way to reflect that it ran out of cash or went out of service. The customer arrives, cannot withdraw, and blames the bank, not the stale listing.

03

Two listings at one physical point

When the bank operates inside a retail store of the same group, the physical point generates two listings: the store's and the bank's. They are different brands of one company over the same Location. On the map they duplicate, compete for reviews and drift out of sync on hours; with no shared model of a Location, nobody knows which one governs what.

04

The rebrand that desynchronizes thousands of listings at once

A brand change is not a logo: it is a synchronization event across thousands of branch and ATM listings at once, on several platforms. Without bulk operations and verification, listings sit with the old name, the old logo and reviews split between two brands for months.

05

Hours that change for security, contingency or a local decision

One branch closes early over security in the area, another adjusts its hours by regional decision, and a whole area changes for a contingency. Those changes rarely reach the map the same day. Multiplied across hundreds of branches and constant openings and closures, published hours stop reflecting the reality of the Location.

02 · The approach

Every branch is a Location, not a listing.

The problems above are not marketing failures, and they are not SEO failures. They are symptoms of a network that stopped being able to see itself: every branch is an operating unit with its own identity, state and history, not a point on a map somebody else administers. Google, Waze and Meta are mirrors; each publishes its own version of your branch.

Mapboard is not another review dashboard. It is the system for running your network: it observes what each platform publishes, understands where that does not match what you declare, acts across the whole network or branch by branch, and verifies the change actually happened. And when what shows up is not a badly published field but a complaint, it turns it into a case with an owner, a severity and a clock, and hands it to whoever can fix it.

01

Observes

what each platform publishes about every branch

02

Understands

where that does not match what your network declares

03

Acts

on each unit, by group or across the whole network

04

Verifies

that the change actually got published

A change is not done until it is verified.

03 · The product in your operation

Where your network starts.

Listing health

Audit thousands of branch and ATM listings at once: duplicates per physical point, ATM listings with no owner, dropped verifications and suspensions, before the customer finds them.

Locations

A centralized network where every branch and every ATM is a Location with more than 300 fields: type, services, hours, area and the regional director responsible; not a loose pin on a map.

Cases and operations

Every complaint becomes a case with a reference number, a severity, a clock and a full activity log; the ones flagged sensitive are redacted according to the reader's permission and are never sent to the AI model.

Control and access

Define who edits what across corporate, regional management and the branch, with permissions and an audit trail; a rebrand or an area-wide hours change stops depending on the password a former employee had.

Bulk publishing

Publish hours changes, openings, closures and rebrands to Google and Meta through bulk operations by spreadsheet; propagation depends on each platform's timing, it is not instant.

Reviews

Classify queue, wait and service complaints per branch and answer with AI support your team reviews before publishing; never automatically.

Local analytics

Compare each branch against its real peers with smart groups (same area, same type, same hours), not against a national average that hides the differences that matter.

One network, several formats

Not every part of your network operates the same way — and its digital presence should not either.

traditional branchATMin-branch vs remote ATMbranch inside retailkiosk in a shopping centerbranch with extended or weekend hourscorporate or business branchairport branchsmart branchbanking agent (context, third party)

04 · In practice

A banking network with around 1,200 branches also operates more than 11,000 ATMs; on centralizing both networks into a single representation, it found that a share of its ATM listings on Maps had no assigned owner and no verified hours.

05 · Frequently asked questions

What your team is going to ask.

Is there a record of what was done with a complaint, for audit purposes?

Yes. Each case keeps its full activity log: created, assigned, reassigned, severity changed and why, evidence added or removed, and verification, with a timestamp and an author. Cases flagged sensitive are redacted according to the reader's permission and are not sent to the AI model. Mapboard does not replace your regulatory case file: it gives traceability to the operational work that feeds it.

Can you manage thousands of ATM listings, not just branches?

Yes. Each ATM is a Location with its own listing. You can load them in bulk by spreadsheet, assign an owner, a type (in-branch or remote) and hours, and audit duplicates and ownerless listings. Mapboard does not control the ATM's physical status (cash, power, network): that lives in your systems. What it does is let that status, once you know it, be reflected and published to the listings in a governed way.

What happens when an ATM is removed or relocated?

The Location is marked as withdrawn or its address is updated, and the change publishes to the platforms through bulk operations. The old listing does not disappear from Google on its own: its closure or move is managed so no ghost ATM is left on the map. Propagation depends on each platform's timing.

What does changing the brand across thousands of listings involve, and how long does it take?

A rebrand is a bulk synchronization event: name, logo, category and description across every Location and every platform. It is prepared in the centralized network and published in batches, verifying the result. It is neither instant nor guaranteed to the minute: each platform has its own timing and validations, and Mapboard records what was published, where, and with what degree of verification.

How do you handle two listings at one physical point (a bank inside a store)?

They are modeled as two Locations with an explicit relationship: different brands, possibly of the same company, over the same point. You govern which one carries which category, hours and reviews, and accidental duplicates are resolved. The difference stops being an accident of the map and becomes known and intentional.

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