Automatic Staffing Discovery

The Traditional Staffing Problem

When creating a new schedule or planning visits 2-4 weeks ahead, the biggest question is: "How many employees do I need?"

The Old Way (Manual Guessing)

Count visits: "45 visits on Monday"
Guess employee count: "Probably need 10 people?"
Manually create shift templates (all 08:00-16:00)
Try to assign visits
Realize you over-staffed (only needed 9)
Or worse: under-staffed (3 visits unassigned)
Adjust manually and try again

Time wasted: 45-60 minutes per day

The CAIRE Way (Automatic Discovery)

Select visits: "45 visits on Monday"
Click "Optimize"
CAIRE calculates: 9 employees needed
Creates optimal shifts automatically
Assigns all 45 visits
Shows 78% efficiency achieved
Review and approve

Time saved: 5 minutes + 1 employee saved

How Automatic Staffing Works

Demand Analysis

CAIRE analyzes your visit list: duration, location, time windows, and required skills. It calculates how many concurrent employees you need each hour, accounting for travel time between visits.

Optimal Shift Times

Not all employees need to work 08:00-16:00. CAIRE discovers optimal shift start and end times based on when demand peaks. Some employees might work 07:00-15:00, others 10:00-18:00.

Learns From Reality

As your caregivers use the mobile app to check in/out of visits, CAIRE learns actual travel times in your area. First optimization: ~5 minutes. After 5 runs: ~2 minutes (system learned your area).

Key Insight: Manual slingor (recurring patterns) take months to perfect through trial and error. CAIRE discovers optimal staffing in minutes and continuously improves with real data.

Key Benefits

-1 to -2

Fewer Employees Needed

45 min

Planning Time Saved Daily

100%

Visit Coverage Goal

78%

True Efficiency Achieved

What This Means For You

No more over-staffing: Stop scheduling 10 employees when you only need 9
No more under-staffing: System calculates exact capacity needed, recommends backup staff if necessary
No manual shift templates: Optimal shift times discovered automatically
Faster planning: 5 minutes vs 45-60 minutes per day
100% visit coverage: System's goal is to assign every visit (no gaps)
Cost transparency: See exact staffing cost before approving

Real-World Use Cases

Use Case 1: Creating New Recurring Pattern (Slinga)

Scenario: You need to create a new weekly pattern for 45 visits every Monday in Huddinge Västra area.

Before CAIRE: Guess 10 employees, create manual shifts, spend 2 hours testing different combinations.

With CAIRE: Select 45 visits, click optimize, system discovers 9 employees needed with 14 optimal shifts. Time: 5 minutes.

Result: Save 1 employee per week + 2 hours planning time. Pattern saved as template for future weeks.

Use Case 2: Pre-Planning 2-4 Weeks Ahead

Scenario: You have 50 movable visits (cleaning, walks) with flexible time windows for next week.

Before CAIRE: Guess staffing needs, hope you have enough people available, adjust last minute.

With CAIRE: Run optimization 14-30 days ahead. Know exactly: "Need 11 employees next Tuesday" or "Need backup staff for Friday."

Result: Better vacation planning, advanced notice for backup staff, no last-minute surprises.

Use Case 3: Daily Disruption (Employee Sick)

Scenario: Anna calls in sick at 07:30. She had 5 visits scheduled today.

Before CAIRE: Panic. Call 3 employees asking who can take extra visits. Manually reassign. Hope no overtime.

With CAIRE: Mark Anna unavailable. System re-optimizes in 60 seconds. Shows: "3 visits → Lisa, 2 visits → Erik. No overtime triggered."

Result: Disruption handled in 2 minutes with optimal redistribution. If capacity insufficient, system recommends activating backup staff with cost analysis.

When You'll See Results

Immediate (Day 1)

Eliminate staffing guesswork
Save 45 minutes daily on planning
Get clear staffing recommendations

Within First Week

Discover 1-2 employees over-staffed (typical finding)
Achieve 100% visit coverage consistently
System learns your service areas

Within First Month

Optimization time drops from 5 min → 2 min (system learned)
Accuracy improves (travel time predictions within 2-3%)
Reduced overtime hours (better staffing = less strain)
Cost per visit transparency (see exact staffing cost)

How It Integrates

With Pre-Planning (14-30 Days Ahead)

When planning movable visits weeks in advance, automatic staffing tells you: "You'll need 12 employees for next Tuesday" or "Friday requires backup staff." This enables better vacation planning and advanced backup coordination.

→ Learn about Pre-Planning workflow

With Daily Optimization (Day-Of Adjustments)

When employees call in sick or visits get cancelled, automatic staffing re-calculates optimal redistribution in 60 seconds. Shows whether remaining staff can handle the load or if backup activation is needed (with cost impact).

→ Learn about Daily Optimization

With Mobile App Actuals

As caregivers check in/out via mobile app (Phoniro, NFC, GPS), CAIRE learns actual travel times in your areas. This makes staffing calculations increasingly accurate—first run estimates, future runs use real data.

→ Learn about Mobile Apps

With Recurring Patterns (Slingor)

Automatic staffing is perfect for creating new slingor. Instead of months of trial-and-error, discover optimal recurring pattern in one optimization. Save as template, reuse for 70-90% of your visits.

→ Learn about Scheduling Platform

For Technical Evaluators

Want to understand the technical architecture behind automatic staffing discovery? We've documented the complete dual-model optimization system, API integration, and performance characteristics for IT decision-makers and technical teams.

Complete Technical Documentation

Full technical architecture with expandable sections: dual-model overview, ESS engine details, FSR routing optimization, mobile integration & learning, API documentation, and complete glossary.

→ Read Technical Documentation

Live Interactive Demo

See the optimization engine in action with real-time convergence visualization, iteration tracking, and combined metrics dashboard.

→ Try Interactive Demo

Note for IT Evaluators: The technical documentation explains the ESS (Employee Shift Scheduling) and FSR (Field Service Routing) engines, Timefold API integration, Swedish kollektivavtal automation, and performance characteristics. Recommended for technical due diligence and architecture reviews.