About
Dor is a retail intelligence platform that helps store owners and operators make data-driven decisions by accurately tracking in-store foot traffic. At its core, Dor deploys battery-operated, thermal-sensing door counters that require no wiring, no Wi-Fi reliance, and no technician — just peel and stick. The proprietary thermal technology combined with machine-learning algorithms delivers consistently accurate people counts in any lighting or environmental condition while protecting customer privacy. The accompanying cloud software unifies foot traffic data with point-of-sale integrations (including native Shopify support) to surface conversion rates, revenue per store, and peak traffic periods across any date range. Store owners can benchmark individual locations, compare seasonal performance, and optimize staffing schedules based on real demand patterns. Dor scales from a single boutique to enterprise-level retail chains with thousands of doors. Role-based access lets stakeholders at every level — from floor managers to executives — access the metrics relevant to their role. A full REST API enables organizations to push foot traffic data into existing BI tools, custom dashboards, or on-premise software. With 2,000+ retail stores already using Dor, it is purpose-built for retailers who want to close the gap between customer visits and actual sales performance.
Key Features
- Thermal-Sensing People Counter Hardware: Battery-operated, wire-free door sensors using proprietary thermal technology and ML algorithms for accurate counts in any condition — no calibration, no IT setup required.
- POS Integration & Conversion Tracking: Seamlessly integrates with Shopify and other POS systems to correlate foot traffic with transactions, surfacing real-time conversion rates per store.
- Multi-Location Analytics Dashboard: Cloud-based dashboard lets teams compare performance across stores, date ranges, and seasons with role-based access for unlimited users.
- REST API for BI Tool Integration: Full API access to push foot traffic data into existing business intelligence platforms, on-premise software, or custom data pipelines.
- Staffing & Peak Traffic Insights: Identifies high-traffic periods to help managers schedule staff more efficiently and align labor costs with actual customer demand.
Use Cases
- A multi-location clothing retailer uses Dor to compare weekly conversion rates across stores, identify underperforming locations, and adjust manager KPIs accordingly.
- A boutique shop owner integrates Dor with Shopify to see exactly how many visitors convert to buyers each day, enabling data-backed sales team coaching.
- A regional grocery chain deploys Dor sensors across all entrances to optimize shift scheduling, reducing labor costs during low-traffic periods while ensuring coverage during peak hours.
- A facility manager uses Dor to monitor building utilization trends over time, informing decisions about lease renewals and space reconfiguration.
- A franchise operator uses the Dor API to feed foot traffic data into a centralized business intelligence dashboard alongside revenue and inventory data for a unified operational view.
Pros
- Zero-Infrastructure Setup: Sensors ship in days, install in minutes without wiring or Wi-Fi dependency — ideal for retailers who can't afford complex technical deployments.
- Scales from Single Store to Enterprise: The same platform supports one boutique or thousands of locations, with centralized dashboards and role-based permissions for large teams.
- Native POS Integration: Direct Shopify integration and custom POS support means conversion rate data is automatically available without manual data merging.
- Privacy-Preserving Technology: Thermal sensors count people without capturing identifiable images or biometric data, making compliance straightforward.
Cons
- Hardware Cost Required: Physical sensor hardware must be purchased upfront per door, which can add meaningful cost for larger multi-entrance or multi-location deployments.
- Primarily Retail-Focused: The platform is optimized for retail and facility management use cases and may lack depth for industries with fundamentally different foot traffic needs.
- Dependent on Battery Maintenance: Battery-operated sensors require periodic maintenance to avoid data gaps, which can be operationally challenging across many locations.
Frequently Asked Questions
How accurate is Dor's people counting technology?
Dor uses proprietary thermal sensors combined with machine-learning algorithms that continuously improve accuracy. The system requires no calibration and is designed to deliver reliable counts regardless of lighting conditions or customer clothing.
Does Dor require Wi-Fi or an in-store network?
No. Dor's hardware has zero reliance on your in-store network, making it easy to deploy anywhere without IT involvement or connectivity concerns.
Which POS systems does Dor integrate with?
Dor offers native integration with Shopify and supports custom POS integrations so retailers can automatically connect foot traffic data with sales transactions for conversion rate analysis.
Can Dor be used across multiple store locations?
Yes. Dor is built to scale from a single location to thousands of stores. The dashboard allows cross-store and cross-date performance comparisons with role-based access controls for distributed teams.
How can I connect Dor data to my existing analytics tools?
Dor provides a REST API that gives full access to your foot traffic data, enabling integration with BI tools like Tableau or Power BI, on-premise software, or any custom data pipeline your organization uses.
