AnchOps provides an AI‑driven scheduling manager for restaurants using Toast POS, automatically drafting weekly schedules, messaging staff to fill open shifts, and publishing the final roster with minimal manual input. The platform also tracks attendance to generate reliability scores, prioritizing proven employees for critical shifts, and offers a mobile app for staff to receive shift offers, swap shifts, and respond to queries, all while keeping labor costs on target.
Funding
Funding not disclosed
Founders
Product
Problem
Restaurant managers spend hours each week manually creating schedules, chasing staff to fill open shifts, and dealing with unreliable attendance, which diverts their focus from guest service and increases labor costs.
Solution
AnchOps provides an AI-driven scheduling manager that integrates directly with Toast POS to automatically draft weekly schedules based on sales history and employee availability. The system messages qualified staff to fill open shifts, prioritizing those with higher reliability scores derived from actual attendance data. Managers can approve a draft with one tap or enable fully autonomous publishing, while labor cost projections and real‑time alerts keep staffing on target. Employees use a dedicated mobile app to receive shift offers, swap shifts, and respond to requests, creating a transparent communication hub that reduces manual texting and paperwork.
Target Audience
AnchOps is designed for independent restaurant operators and managers who use Toast POS and need a streamlined, reliable solution for weekly staffing and labor management.
Features
- AI-generated weekly drafts using sales trends and staff availability from Toast POS
- Automated messaging of open shifts to the most reliable employees first
- One‑tap schedule approval or fully autonomous publishing mode
- Reliability scoring per employee, broken down by day of the week, visible to staff
- Mobile app for iOS and Android enabling shift acceptance, peer‑to‑peer swaps, and direct communication
- Labor cost projections with mid‑shift alerts when actual labor exceeds targets
- Secure AWS‑hosted data storage, encrypted, with no data resale