Quick answer: Aislelabs Flow AI now includes multi-site analytics, letting retail and restaurant portfolios review visitor traffic, dwell time, and trends across every property in one dashboard view instead of exporting each location separately and combining the numbers by hand. It’s built for teams responsible for more than one site: retail destination operators, multi-unit restaurant groups, and portfolio or asset managers.
If you manage more than one property, you already know the real cost of a portfolio-level question. Someone asks how location 12 compares to the regional average, and the honest answer is: give me until tomorrow morning. You open each site’s dashboard, export the numbers, paste them into a spreadsheet, and reconcile formatting differences before you can say anything with confidence. By the time the comparison is ready, the meeting it was for has usually already happened.
Aislelabs Flow AI now removes that step. Multi-site analytics lets you review visitor performance across every property in one place, without moving between dashboards or reconciling exports by hand.
The problem with single-site analytics at portfolio scale
Foot traffic and dwell time tools are almost always built around a single property. That works fine when you manage one site. It breaks down the moment you’re responsible for ten, thirty, or a hundred.
Retail destination groups, restaurant operators with multiple units, and portfolio managers reporting to ownership all run into the same wall: the data exists at each property, but assembling it into something you can act on takes real manual work every time the question comes up. Three specific costs show up repeatedly:
Export fatigue. Someone has to log into each property’s dashboard, run the same export, and repeat it for every location in the portfolio. A ten-property portfolio means ten exports before the analysis has even started.
Inconsistent comparisons. When exports happen manually, date ranges drift, filters get applied inconsistently, and two people pulling the same “monthly comparison” can end up with different numbers.
Stale answers. A regional performance question that takes a morning to answer is a question that’s already out of date by the time it’s answered. Decisions that should happen in a meeting get pushed to “I’ll follow up by Friday.”
What changed with multi-site analytics in Flow AI
Flow AI users can now review visitor analytics across multiple sites in a single view. Comparing activity across locations becomes something you look at, not something you build. A regional performance question that used to mean a morning of exports and spreadsheet work is now something you can answer while the question is still being asked.
In practice, this means:
- One dashboard view spans every property in the portfolio, rather than one dashboard per property.
- Visit, dwell time, and trend data use the same date ranges and filters across every location automatically, removing the inconsistency that creeps into manual comparisons.
- A location that’s trending down relative to the portfolio average becomes visible immediately, rather than surfacing weeks later in a scheduled report.
Who this is built for
Retail destination operators managing several properties who need to spot which locations are gaining or losing visitor traffic relative to the portfolio, and who currently rely on individual property managers to send in numbers before a regional view can even be assembled.
Multi-unit restaurant groups trying to understand whether a slow week at one location reflects a local issue, like a nearby road closure or a staffing gap, or a broader trend across the chain that needs a different kind of response.
Portfolio managers and asset teams who report upward on performance across a book of properties rather than a single site, and who need numbers they can defend in the same meeting they’re asked for them, not numbers they promise to follow up on.
How this fits with the rest of Flow AI
Multi-site analytics is a separate capability from the Areas experience Flow AI also introduced this year, and it’s worth being precise about the difference. Areas group zones within a single property, so you can analyze a wing or a dining precinct as one unit. Multi-site analytics groups whole properties together, so you can compare one location against another, or against the portfolio average. Both make property-level questions easier to answer, but they answer different questions: one is about the inside of a building, the other is about the relationship between buildings. A retail group might use Areas to understand how the dining precinct performs within one shopping center, and multi-site analytics to compare that shopping center’s overall performance against the rest of the portfolio.
Multi-site analytics also doesn’t change how guest data is captured. That still happens through Aislelabs Connect’s captive portal, which is a separate product from Flow AI’s analytics. Multi-site analytics tells you how locations perform. Connect is how you capture the first-party visitor data in the first place and put it to work in marketing and CRM tools, including the new direct Salesforce sync introduced this release.
What a multi-location team can do with this today
A regional manager can open one view and immediately see which of twenty locations is trending down before it shows up in a monthly report, instead of waiting for that location’s manager to flag it. A restaurant group evaluating a new menu rollout can compare visit and dwell time patterns across the units that already have it against the ones that don’t, using the same time window and filters for every location. An asset manager preparing a portfolio review can pull comparable numbers across every property in the minutes before the meeting, rather than chasing property managers for exports the week before.
None of this requires a new tool, a new login, or a change to how zones or sensors are configured at each site. It’s the same Flow AI dashboard, with the property boundary removed from the comparison.
Frequently asked questions
Yes. Flow AI’s multi-site analytics lets you review performance across every property in your portfolio in one view, instead of exporting and combining data from each location separately.
No. Areas group zones within a single property, for example a wing of a shopping center or a dining precinct. Multi-site analytics groups entire properties together for portfolio-level comparison. They solve different problems and can be used together.
Flow AI’s multi-site analytics view is built for exactly this. Instead of exporting each property’s dashboard separately, you review visit counts, dwell time, and trends for every location side by side in one place, using consistent date ranges and filters.
It’s built for anyone responsible for more than one property: retail destination operators, multi-unit restaurant groups, and portfolio or asset managers who need to compare performance across locations rather than analyze a single site.
Managing a portfolio of retail or restaurant locations and want to see multi-site analytics on your own properties? Request a demo.
Suggested internal links: Multi-Location Retail, Multi-Location Restaurants, How Multi-Location Retail Chains Are Building First-Party Data Strategies, The Ultimate Guide to Foot Traffic Analysis for Retail Stores, Flow AI, September 2026 Product Release
