AI auto-scheduling
Generates a full roster from worker availability, labor-law presets, rest requirements, preferences, manager-defined rules, and role coverage, reducing the need for manual assignment.
Daywatch is an AI shift-scheduling platform for managers who need to build rosters around worker availability, labor rules, rest requirements, preferences, and role coverage. It supports healthcare, security, manufacturing, retail, and multi-team organizations.
Daywatch is an AI shift-scheduling platform for managers who create recurring or compliance-sensitive workforce rosters. It combines worker availability, manager-defined rules, labor-law presets, rest requirements, preferences, role coverage, and certifications when generating schedules.
Workers submit availability through a portal, and the scheduling engine builds a proposed roster for the manager to review and publish. The Insights dashboard highlights coverage gaps and unresponsive workers, while published schedules can be sent through email and WhatsApp notifications. Daywatch is positioned for healthcare, security, manufacturing, retail, and multi-team enterprise operations.
Generates a full roster from worker availability, labor-law presets, rest requirements, preferences, manager-defined rules, and role coverage, reducing the need for manual assignment.
Includes industry labor-law presets and supports custom rules for conditions such as fatigue limits, minimum rest gaps, consecutive-shift limits, supervision, and contract shift caps.
Workers submit and officially confirm their availability and preferences through a portal; managers can review responses before building the schedule.
The Insights dashboard surfaces exact coverage gaps and workers who have not responded, helping managers resolve exceptions before publication.
Shift slots can be matched to operational tags, certifications, roles, and locations. The healthcare workflow also supports multi-site scheduling and cross-team clinician pools.
Managers can publish schedules with email and WhatsApp notifications and assign designated backups so a replacement can be promoted and notified when a primary worker cancels.
Hospitals and clinics can build four-week schedules around duty-hour caps, post-call rest, night-work restrictions, supervision pairings, certifications, ward coverage, and assignments across multiple sites.
Security teams can manage 28-day, multi-site rotations with role-matched guard assignments and checks for rest hours, shift caps, and required site coverage.
Factories can schedule bi-weekly Day, Afternoon, and Night production shifts while matching assignments to required certifications and reducing the risk of uncovered operational roles.
Retail managers can prepare the following week’s rota from worker availability and preferences, with labor-law checks performed before the schedule is published.
Organizations with departments or regional teams can use team hierarchy and shared visibility to coordinate schedules across a workforce of more than 400 employees, according to Daywatch’s enterprise use-case description.
Managers configure shifts, workers, availability, roles, and scheduling rules. Workers submit their availability, then Daywatch evaluates the configured constraints and generates a proposed schedule for review and publication.
Yes. In addition to built-in labor-law presets, Daywatch documentation describes custom operational rules, including minimum rest periods, consecutive-night limits, supervision pairings, role requirements, and contract shift caps.
When a manager publishes a schedule, Daywatch can send notifications by email and WhatsApp. The documentation also covers availability reminders and notification preferences.
A manager can assign a designated backup to a shift. If the primary worker cancels, the backup can be promoted and notified through the configured email or WhatsApp workflow.
Daywatch offers a seven-day trial with unlimited workers and no credit card required to start. It provides cloud plans based on worker count, as well as an on-premise deployment for organizations that want workforce data to remain on their own network.
流量数据仅供参考。
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