Technology
Dor's New Intel Dashboard Turns a People Counter Into an AI Retail Intelligence Platform (2026)
Dor just relaunched at dorhq.com with an AI-powered Intel Dashboard that joins foot traffic, conversion, staffing, and POS data in one place — and demand is spiking. Here's what it actually does.
6 min read ·
Key Takeaways
- Dor's new Intel Dashboard (dorhq.com) combines foot traffic, conversion rate, staffing, and POS data in a single AI-powered view.
- The platform answers 'why' questions — not just 'how many' — by correlating traffic with sales, labor, and external factors.
- Battery-powered, camera-free thermal sensors still handle the counting; the dashboard is where the intelligence layer now lives.
- For multi-store retailers, fleet-wide conversion benchmarking becomes a default report instead of a spreadsheet project.
- Transparent pricing and no long-term lock-in remain Dor's differentiators against enterprise incumbents.
Dor has relaunched its platform at dorhq.com with a new centerpiece: the Intel Dashboard, an AI-powered retail intelligence layer that sits on top of its thermal people counting sensors. The pitch is simple — stop treating foot traffic as a standalone metric and start joining it to conversion, staffing, and POS data in one dashboard. Judging by the waitlist chatter and demo bookings we're tracking, the launch is driving serious demand. Here's what the new platform actually does and whether it lives up to it.
What Is the Intel Dashboard?
Historically, a people counter gave you one number: how many people walked in. Useful, but inert — you still had to export it, merge it with POS exports, and build your own spreadsheet to answer the questions that actually matter. The Intel Dashboard collapses that workflow. Foot traffic from Dor's sensors is joined automatically with point-of-sale data, staffing schedules, and external signals, and the AI layer surfaces the correlations: which stores convert traffic into sales, which ones leak it, and when.
The hardware story is unchanged — Dor's battery-powered, peel-and-stick thermal sensor counts entrances anonymously, with no cameras and no personal data collected. What's new is that the sensor is now clearly the data collection layer, and the dashboard is the product. That reframing matters, because it moves Dor from 'affordable counter' into the retail intelligence category that enterprise vendors like RetailNext and ShopperTrak have owned at much higher price points.
Why It Matters
The most expensive sentence in retail analytics is 'we were busy today.' Busy is not a metric — conversion rate is. Without traffic joined to sales, a retailer cannot tell a traffic problem from an execution problem, cannot attribute a marketing campaign to in-store lift, and cannot benchmark locations honestly because raw sales flatter high-traffic stores and hide underperformers. The Intel Dashboard makes conversion rate a default, always-on number rather than a quarterly analysis project.
- Conversion rate per store, per hour, fleet-wide — calculated automatically from traffic + POS.
- Staffing alignment: see whether labor schedules match real traffic curves, not gut feel.
- Marketing attribution: measure whether campaigns actually pulled people through the door.
- Anomaly surfacing: the AI flags stores where conversion broke from trend before the month-end report does.
What You Can Do With It
In practical terms, a district manager opens one screen and sees every location's traffic, conversion, and revenue per visitor side by side. A store that cut weekend staffing and watched conversion slip shows up immediately. A campaign that spiked traffic but not sales shows up immediately too — which is exactly the kind of honest feedback marketing teams usually avoid getting.
Single-store operators get the same core loop at a smaller scale: mount the sensor in minutes, connect POS, and within days you have a baseline conversion rate to coach against. If you want to estimate what a one-point conversion improvement is worth at your volumes before you buy anything, run the numbers in our ROI calculator first.
How It Compares
| Dor Intel Dashboard | Enterprise incumbents | |
|---|---|---|
| Counting hardware | Battery thermal sensor, peel-and-stick | Camera / overhead units, wired install |
| Privacy | Anonymous, no images, no PII | Varies — cameras trigger privacy review |
| Data joined | Traffic + POS + staffing in one dashboard | Often separate modules or BI exports |
| Install time | Minutes per door | Site surveys, cabling, IT tickets |
| Pricing | Transparent, published | Quote-based, often $25K+/yr at scale |
| Contract | No long-term lock-in | Multi-year agreements common |
Dor Intel Dashboard
Pros
- Traffic, conversion, staffing, and POS unified in one AI-powered view
- Camera-free anonymous counting — no privacy review bottleneck
- Minutes to install, no contractors or store IT involvement
- Transparent pricing without enterprise lock-in
- Fleet-wide conversion benchmarking out of the box
Cons
- Doorway counting only — no in-store zone heatmaps or dwell analytics
- No demographic breakdowns that camera-based systems offer
- Younger platform than the enterprise incumbents it now competes with
Our Take
We've tracked Dor since it was 'the affordable counter with honest pricing.' The Intel Dashboard is the move we expected: the counting hardware was always good enough, and the missing piece was turning counts into decisions without a data analyst in the middle. If the AI correlation layer works as demoed, Dor is now competing in a category where the cheapest credible alternative costs an order of magnitude more. The demand spike is rational.
See the new platform at dorhq.com. For our full independent assessment, read the Dor vendor profile, stack it against alternatives in the vendor comparison tool, or take the 2-minute recommender quiz if you're still deciding which system type fits your stores.