Reporting across dozens of locations eats days every month. Avelle pulls, scores, and surfaces review sentiment for every store in one live view — with replies drafted and trends flagged before they become problems.
Multi-location review intelligence pulls, scores and surfaces reviews from every store in one live view, drafts a reply to each, and flags a location's sentiment trend before its rating drops.
Not at one store. At the point where nobody can see all of them at once.
Someone pulls reviews store by store, pastes them into a spreadsheet, and by the time the report circulates it is describing last month.
A single location's rating slides for six weeks before anyone notices, because nobody is looking at that store specifically.
Some stores reply within a day, some never. Head office cannot tell which is which without checking each listing.
A recurring complaint appearing at nine of twenty stores is a systemic issue. In a spreadsheet it looks like nine unrelated reviews.
Built and running — this is the one you can read a case study about.
Usually a coordinator doing it manually, or enterprise reputation software priced per location.
| Option | Up front | Ongoing | Evenings & weekends | Follows up every time | Absorbs a volume spike |
|---|---|---|---|---|---|
| A coordinator with a spreadsheet | — | salary + payroll | No | No — dropped when busy | No — hire again |
| Enterprise reputation platforms | — | — | No | No | No |
| Build the systems | from $4,500 | from $1,500/mo | Yes | Yes | Yes |
Salary figures are general Metro Vancouver ranges for comparison, not quotes. Run your own numbers in the savings estimator.
We build around how you already run — you do not change your systems to suit ours.
We set up your group, regions and individual stores the way your reporting is actually organised.
We pull from every platform each location appears on and normalise it into one consistent structure.
We define the sentiment themes that matter to your operation and build the views your leadership actually reads.
We go live, review the first reporting cycle with you, and tune flagging thresholds against real operational signal.
The targets every build in this sector is scoped against.
live view across every location in the group
manual store-by-store review collection
from first consultation to a live system
Design targets, not guaranteed results. Outcomes vary by business size, volume and starting point.
Avelle is platform-agnostic. We connect to your stack rather than asking you to migrate.
Most builds in this sector combine these three. Start with whichever is leaking most.
The multi-location review intelligence build this page describes, running in production — what it replaced and what it reports on now.
The review collection, scoring and reply engine underneath the dashboard.
The reporting and operational grind around a multi-location group.
Connecting the platforms your locations appear on to the systems head office runs.
Builds start at $4,500 setup plus $1,500/mo on the Growth package and scale with location count. Groups running deeper operational reporting move to Scale at $8,500 setup plus $2,800/mo. Scope is set after a free consultation.
Yes — this is one of our production builds rather than a concept. You can read the Inspired Cannabis case study for the structure, what it replaced and what it now runs across.
The architecture is built for groups rather than single stores, so location count is a configuration question rather than a technical limit. Pricing scales with it; the reporting structure does not change.
Only if you want it to. The default is drafted replies held for approval, which is what most groups prefer — consistent response times without publishing anything unreviewed. Reviews needing a manager are escalated rather than templated.
Most multi-location builds go live in two to four weeks, depending on how many review platforms your locations appear on and how your reporting hierarchy is structured.
Book a free 30-minute consultation. We'll map your location structure and show you what the reporting looks like when it stops being a spreadsheet.
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