Mapboard by industry
At this scale the question is not where the store is, it is which one has an ATM, takes the parcel and is open now.
In a market with a convenience store on every corner, your customers do not discover you: they already know where you are. What they do not know, and often your own network does not either, is which of your stores takes the utility payment, receives the parcel or can sell beer at eleven at night. In a network of hundreds or thousands of stores, 1% of wrong listings is dozens of Locations sending customers to the wrong door. Mapboard publishes that data per store to Google Business Profile and assigns a responsible user to the group.
The vertical, in numbers
151,975
convenience stores in the United States alone at the end of 2025, of which 122,620 sell fuel: a channel that is enormous and highly fragmented
NACS/NIQ TDLinx Convenience Industry Store Count, 31 Dec 2025
400,000+
stores across more than 50 countries are represented by NACS retail members: convenience is a global format, and every one of those stores is a Location someone has to govern
NACS, member and industry figures
01 · What hurts in this vertical
Problems you already know.
What gets reported about a store does not reach whoever runs that store
At this scale, complaints come in every day through reviews and the call center: a wrong charge, expired product, an altercation at the register. Corporate cannot resolve them and that store's manager rarely finds out in time. With no responsible user assigned to the store, the complaint gets forwarded by hand and the pattern per store (the same complaint three months running) disappears into the average.
Duplicates and ghosts that multiply with the network
At this channel's scale, each store tends to accumulate duplicate listings created by customers, former employees or the platform itself, while closed or relocated stores keep showing as open on the map. Nobody at corporate can review thousands of stores by hand. Consolidating duplicates and removing ghosts stops being a task and becomes a problem of arithmetic.
Your network grows faster than the map can keep up
This channel opens more than a thousand stores a year, and a network in expansion cannot depend on someone registering each store by hand on Google Business Profile. Newly opened stores go weeks with no listing or with the pin in the wrong neighborhood, exactly when appearing correctly matters most. The pace of openings turns registration into a permanent bottleneck, not an event.
Every store offers different services, and that is almost never published
Not every store has an ATM, receives parcels, takes bill payments or sells alcohol on the same schedule. Alcohol sale hours change by municipality and by local restriction. That attribute, the one the customer is actually looking for, is the one that gets maintained least, store by store, across the whole network.
The site's store finder says one thing; Google Business Profile says another
The store finder on the corporate site and the Google listing rarely agree, and each area or franchisee edits on their own with no shared model of who can change what. The result is a network where corporate issues a correction and, for a given store, has no single place that holds the data that was published.
02 · The approach
Every store is a Location, not a listing.
The problems above are not marketing failures, and they are not local-SEO failures. They are symptoms of a network that stopped being able to see itself: every store is an operating unit with its own identity, not a point on a map somebody else administers. Today that store is published on Google Business Profile, which is where the customer finds it.
Mapboard is enterprise software for networks of physical locations. It organizes every store into groups, assigns responsible users and publishes the listing to Google Business Profile from one place. It reads reputation across the network: recurring themes, and AI-assisted replies your team reviews. Orbit summarizes, searches and recommends from what is already in the network.
Observes
what Google Business Profile shows for every store
Understands
where that does not match what your network has on record
Acts
on each unit, by group or across the whole network
Verifies
what the Google Business Profile listing shows today
A change is not done until it is verified.
03 · The product in your operation
Where your network starts.
Listing health
Each store's Google Business Profile, organized in the network, so you can review stale data, closed stores and repeated listings without walking them blind.
Locations
Each store in the network, with what sets it apart: whether it has an ATM, takes parcels, takes bill payments or until what time it sells alcohol. That data is published to Google Business Profile.
Bulk publishing
Openings and hours corrections publish to Google Business Profile. Google applies the change on its own timing.
Responsible owners
Assign responsible users by store and by group. Orbit detects in reviews whether the same complaint recurs at one store, and your team reviews the summary.
Control and access
Role-based access, and a responsible user assigned to each store and each group. A bulk workflow applies the change to the whole group.
Local analytics
Each store's reputation read across the network, and nearby competitors by radius using Google data.
Reviews
Reviews across the network, with recurring themes and AI-assisted replies your team reviews before publishing to Google.
One network, several formats
Not every part of your network operates the same way — and its digital presence should not either.
04 · In practice
In a network of hundreds or thousands of stores, the team organizes each store into groups, updates ATM, parcel pickup and hours, and publishes that data to Google Business Profile.
05 · Frequently asked questions
What your team is going to ask.
At this scale, how does someone find out what was reported about a store?
You assign responsible users to the store and to the network's groups, with role-based access. Orbit reads that store's reviews together with the network's and flags when the same reason recurs. Your team reviews the summary.
How do you review duplicates across thousands of stores?
Each store is a Location in the network, with its Google Business Profile in view. Your team compares likely duplicates and decides what to consolidate before publishing the change.
A store closed or relocated and still shows as open. What happens?
You mark it closed or relocated in the network and publish the change to Google Business Profile. How long the map takes to reflect it is defined by Google.
How do you reflect which store has an ATM, takes parcels or bill payments, and how are alcohol hours handled?
They are data on each store in the network. You can update them by group, including alcohol sale hours, and publish them to Google Business Profile.
Who can edit what across corporate, area and franchisee, and how long does a bulk change take to publish?
Access is role-based, and you assign responsible users to stores and groups. A bulk change is prepared in a workflow and published to Google Business Profile. Google does not apply it instantly.
06 · Keep reading
Other industries.
Pharmacies
24-hour schedules, in-store clinics, and health services for each Location, on Google Business Profile.
Gas stations
Each station's brand, access, and attributes, set right where the driver decides.
Banking
Branches and ATMs, governed as one network on the map.
Clinics and labs
Draw hours, Sunday hours and the processing center for each branch, on Google Business Profile.
Optical
The chain name, the concession inside another retailer, and exam-lane hours, store by store.
Automotive
Dealer, workshop and parts counter as separate Locations, with a responsible user per group.
The platform
Let's talk about your network, store by store.
Tell us how it runs today and we'll show you the platform on a demonstration network, grounded in what you describe.
