Kintow provides an AI-powered copilot for restaurateurs that integrates disparate operational systems like POS, scheduling, and invoicing. The platform monitors costs, flags issues in real-time, and automates workflows such as ordering and labor management. This orchestration reduces manual effort, minimizes errors, and provides actionable insights for improved financial performance.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Restaurant operators rely on a patchwork of point solutions—POS systems, scheduling tools, payment processors, and email invoices—that do not share data. This fragmentation forces managers to manually reconcile data, forecast demand, and control labor and food costs, leading to errors, delayed decisions, and reduced profitability.
Solution
Kintow delivers an AI‑driven orchestration layer that connects existing restaurant technologies into a unified operational hub. By ingesting transaction, inventory, and staffing data through native APIs and secure document parsing, the platform generates real‑time cash‑flow dashboards, food‑cost analytics, and labor‑cost monitoring. Machine‑learning models forecast demand and automatically trigger purchase orders, minimizing waste and stockouts. An interactive AI chat interface lets users query metrics and receive actionable alerts without leaving the system. All insights are presented via a cloud‑hosted web console that integrates with common tools such as Slack, Gmail, and accounting platforms, enabling managers to make data‑backed decisions with minimal manual effort.
Target Audience
The primary customers are multi‑unit restaurant owners, operators, and CFOs who need integrated visibility across POS, inventory, and labor systems to optimize margins and streamline back‑office workflows.
Features
- API‑based connectors for POS, payment gateways (Square, Amex), scheduling services (7shifts), and banking feeds, consolidating data into a single data lake.
- Machine‑learning demand forecasting that predicts ingredient usage and suggests optimal order quantities.
- Automated ordering engine that generates purchase orders and sends them to suppliers when forecasted demand exceeds current inventory.
- Real‑time cost dashboards for cash flow, food cost, and labor cost, with configurable KPI alerts delivered via Slack or in‑app notifications.
- AI‑powered natural language query interface that answers operational questions and surfaces insights on demand.
- Role‑based access control and end‑to‑end encryption for compliance with PCI and data‑privacy standards.
- Cloud‑native SaaS architecture with scalable microservices and event‑driven data pipelines for low‑latency analytics.