Magic develops a personalization engine that tailors real‑world experiences across hospitality and retail venues such as restaurants, hotels, and stores. The platform segments guests (e.g., regular, VIP, wine lover) and delivers customized offers or services in‑situ, enabling operators to increase engagement and revenue per visitor. Revenue is generated through subscription fees and usage‑based pricing tied to the volume of personalized interactions.
Funding
Funding not disclosed
Founders
Product
Problem
Hospitality and retail venues often rely on generic service scripts and static promotions, which fail to reflect individual guest preferences or behavior patterns. Without a unified, data‑driven system, operators cannot consistently deliver tailored experiences, leading to lower engagement and sub‑optimal revenue per visitor.
Solution
Magic offers a cloud‑native personalization engine that aggregates point‑of‑sale, reservation, loyalty, and sensor data into a single customer profile. The platform applies machine‑learning segmentation and propensity scoring to identify guest segments such as regular diners, VIPs, or wine enthusiasts in real time. Through a RESTful API and SDKs, venues can push segment‑specific content to digital signage, tabletop tablets, mobile apps, or in‑room devices at the moment of interaction. A web‑based rule builder lets marketers define triggers (e.g., arrival time, spend threshold) without writing code, while the analytics layer provides continuous feedback on conversion, dwell time, and average ticket size. Integration points include existing property‑management systems, e‑commerce platforms, and third‑party CRM tools, enabling a seamless flow of insights across the guest journey.
Target Audience
The primary customers are multi‑unit restaurant chains, hotel operators, and retail brands that need to personalize guest interactions across physical locations, as well as their in‑house marketing teams responsible for experience design and revenue optimization.
Features
- Pre‑built connectors for POS, PMS, CRM, and IoT sensors that normalize data into a unified guest profile
- Real‑time segmentation engine using clustering, collaborative filtering, and propensity models to assign guests to dynamic personas
- API and SDKs for low‑latency content delivery to in‑venue devices (digital menus, smart mirrors, mobile push)
- Drag‑and‑drop rule builder for marketers to configure segment‑based offers, upsell prompts, and service workflows
- Dashboard with KPI visualizations (engagement rate, incremental spend, repeat visit frequency) and A/B testing capabilities
- GDPR‑compliant data governance with consent management, encryption at rest, and role‑based access controls
- Extensible plug‑in architecture allowing third‑party developers to add custom recommendation algorithms or channel integrations