About
Hoxton AI is an end-to-end physical space intelligence platform combining AI-powered hardware sensors with a cloud analytics suite. Its overhead S1 sensor installs in 15 minutes, delivers 98%+ counting accuracy, and anonymises images on the edge before any cloud processing, ensuring visitor privacy is never compromised. The platform's core products cover three domains: footfall and conversion analytics (Convert), real-time occupancy management (Capacity), and voice-based visitor feedback (SaySo). Convert merges accurate footfall data with POS or Shopify sales data to automatically calculate in-store conversion rates, benchmark locations, and measure campaign impact. Capacity monitors live occupancy across zones, triggers crowding alerts, and helps dynamically allocate staff at venues and attractions. SaySo captures natural spoken feedback in 100+ languages via iPad kiosks, QR codes, or tablets, then uses AI to analyse sentiment, extract themes, and surface issues instantly. Hoxton AI integrates with leading BI tools (Tableau, Power BI, Looker Studio), data warehouses (BigQuery, Snowflake, Redshift), spreadsheets, automation platforms (Zapier, Make), and messaging tools (Slack, Teams). It serves retail chains, leisure attractions, museums, galleries, and hospitality venues, with documented outcomes including 22% average revenue uplift, 50% more admissions, and an average NPS score of 87.
Key Features
- 98%+ Accurate People Counting: Overhead AI sensors install in 15 minutes and count visitors with industry-leading accuracy, with images anonymised on-device before cloud processing.
- In-Store Conversion Analytics: Combines footfall data with POS or Shopify sales data to automatically calculate and benchmark conversion rates across locations and campaigns.
- Real-Time Occupancy Management: Monitors live occupancy across zones, sends crowding alerts, and supports dynamic staff allocation for venues and attractions of any size.
- AI-Powered Visitor Feedback (SaySo): Captures natural spoken feedback in 100+ languages via kiosks, QR codes, or tablets; AI analyses sentiment and extracts themes instantly.
- Wide Integration Ecosystem: Connects via API to BI tools (Tableau, Power BI), data warehouses (BigQuery, Snowflake), Zapier, Make, Slack, Teams, and existing POS/ticketing systems.
Use Cases
- A retail chain tracks in-store conversion rates by combining footfall data with POS sales to identify underperforming locations and optimise staffing levels.
- A leisure attraction monitors real-time occupancy across zones, sets capacity alerts, and dynamically manages entry queues on peak days to maximise admissions.
- A museum captures visitor feedback in 100+ languages via SaySo kiosks at exits, uses AI sentiment analysis to identify service issues, and generates funding reports with accurate visitor counts.
- A hospitality venue measures guest flow and service quality scores throughout the day, enabling managers to respond to negative feedback before guests leave.
- A Shopify retailer integrates footfall data with their POS to automatically benchmark conversion rates across multiple stores and measure the real-world impact of marketing campaigns.
Pros
- Privacy-First Architecture: Edge-based image anonymisation means no identifiable visitor data ever leaves the premises, making compliance straightforward.
- Fast, Easy Installation: The S1 sensor installs in 15 minutes with a guided setup wizard, minimising disruption to business operations.
- Multi-Channel Feedback Collection: SaySo supports kiosks, QR codes, and shareable survey links, making it easy to capture visitor sentiment in any physical context.
- Proven Business Outcomes: Customers report a 22% average revenue uplift, 50% more admissions on peak days, and an average NPS of 87.
Cons
- Hardware Dependency: Requires purchasing and installing physical sensors, adding upfront cost and logistics compared to software-only analytics solutions.
- Enterprise-Focused Pricing: Pricing is not publicly listed and appears tailored to multi-location businesses, which may be a barrier for smaller or single-site operators.
- Limited Self-Service Onboarding: Getting started involves booking a demo and hardware procurement, which may slow down evaluation for teams wanting immediate access.
Frequently Asked Questions
How accurate is Hoxton AI's people counting?
Hoxton AI's overhead AI sensors achieve 98%+ counting accuracy. An accuracy audit is included in the setup process to validate performance in your specific environment.
Is visitor privacy protected?
Yes. Images captured by the sensors are anonymised on the edge (on the device itself) before any data is sent to the cloud, so no identifiable personal data ever leaves your premises.
What tools does Hoxton AI integrate with?
Hoxton AI connects via API to BI tools like Tableau, Power BI, and Looker Studio; data warehouses such as BigQuery, Snowflake, and Redshift; spreadsheets (Google Sheets, Excel); automation platforms (Zapier, Make); and messaging tools (Slack, Teams), as well as existing POS and ticketing systems.
Which industries does Hoxton AI serve?
Hoxton AI is designed for retail, attractions and leisure, museums and galleries, and hospitality and venues — any physical space that needs to understand visitor traffic, occupancy, and experience quality.
How long does it take to install the sensors?
The S1 overhead sensor installs in approximately 15 minutes using a guided setup wizard, with support for PoE (Power over Ethernet) and mounting instructions included.
