HospoAI
HospoAI provides an AI-powered intelligence layer for hospitality operators, unifying data from POS, roster, supplier, and reservation systems into a single dashboard. The platform automatically detects anomalies like labor overruns and margin slippage, while an AI copilot answers natural-language questions with evidence-backed insights. It also automates reporting by generating nightly reports and morning briefings without manual compilation.
- Hospitality & Travel Technology
- Data & Analytics
- Artificial Intelligence
- Food Technology
- AI Agents
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Hospitality operators manage fragmented data across separate point-of-sale, inventory, labor, supplier, and reservation systems, leaving them without a unified view of operational performance. Manually correlating these datasets to identify margin drains—such as recipe variance, overstaffing, or menu mix inefficiencies—is time-consuming and error-prone, limiting managers' ability to respond proactively to cost pressures.
Solution
HospoAI acts as an intelligence layer that connects to existing POS, roster, supplier, and reservation platforms and consolidates their data into a single, proactive dashboard. The system automatically detects patterns and anomalies—such as labour running over or margin slipping on specials—then surfaces actionable insights with attached evidence, not just answers. Managers can ask the AI copilot questions about daily or weekly performance and receive contextual replies that show their working. The platform also automates reporting workflows by generating nightly reports and morning briefings that are sent to the team without manual compilation.
Target Audience
Primary users are owners and operators of restaurants and hospitality groups who need centralized operational analytics to monitor margins, labour efficiency, and profitability without manual report building.
Features
- Unified data integration across POS transactions, roster schedules, supplier invoices, and reservation platforms into a single dashboard
- AI copilot that answers natural-language questions about operational metrics with evidence attached to each response
- Automated anomaly detection flagging labour overruns, margin slippage, and food-cost increases with recommended actions
- Self-sending nightly reports covering covers, wage cost, waste, and next-day prep, plus morning briefings with bookings, staffing gaps, and priority fixes
- System-agnostic architecture designed to work on top of existing hospitality technology stacks