Shift handover gaps

Context is often lost during handovers between teams.

Staff availability changes

People availability and workload change during the day.

Weak tracking

Assigned work and actual execution don't always remain sufficiently visible.

Late problem visibility

Problems become visible after they've already impacted the shift and results.

What Project 4.0 improves in shift operations

The platform connects tasks, people, shifts, tracking and operational visibility in one structure with shift handover surveys (7 trigger types — at shift start/end, daily, weekly, on task completion) and an automatic 5-component risk score for each employee.

  • Structured handover — surveys with rating, supervisor review, full history
  • Risk score — automatic assessment from 5 factors, adapted for manufacturing environments: detects systematic delays, accumulated overdue tasks and performance decline trends — before they affect the production rhythm. Details on components →
  • Automatic reports — daily, weekly and monthly reports with trends and KPIs
  • Proactive alerts — 26 Cloud Functions for intelligent notifications on deviations, escalations and risk models
Managing work shifts in manufacturing — handover, accountability and control with Project 4.0

The hidden cost of lost hours

Real example: with 30 workers, downtime due to inadequate coordination — unclear tasks, waiting for instructions, duplicated work — reaches up to 1,200 hours per month, equivalent to 7.5 salaries paid without result.

Project 4.0 improves coordination and eliminates misunderstandings, minimizing losses and improving fairness in work distribution and result reporting.

The platform provides easy analysis of where problems are, what hours have been invested by project, where teams are strong and where they aren't.

Loss calculation

  • Unclear priorities → average 2 h/day downtime per person
  • Lack of feedback → duplicated or incorrect work
  • 30 × 2 h × 20 days = 1,200 hours/month
  • = 7.5 salaries for nothing

How Project 4.0 responds: AI extracts tasks from text with 89–92% accuracy (in internal testing), predictive models detect performance decline, and 152 AI actions cover the entire operational cycle — from assignment to reporting.

See how Project 4.0 works in a manufacturing workflow, not just a general presentation.

We can show a demo for a typical shift-based operational environment and discuss whether a specific pilot scope makes sense.

Request a pilot Request a demo