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[03]—SaaS · Scheduling · AI·2025·Concept

Staffly

Challenge

Managers were building weekly shift schedules by hand in spreadsheets, and double-bookings or coverage gaps were only caught after someone missed a shift.

Approach

We built a scheduling engine that checks every shift against the whole week as it's built, flags conflicts the moment they're created, and proposes a fix instead of just an error.

Solution

A shift-scheduling platform with a live weekly grid, swap requests, leave tracking, and automatic conflict detection with one-click suggested fixes.

Result

Caught and auto-resolved double-bookings before publishing, holding schedule coverage at 98% with 92% attendance.

[03] — Gallery