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Predictive Analytics

Forecasting & Planning

Predict foot traffic using seasonality, day-of-week patterns, and weather influences. Better scheduling, smarter staffing, and programs timed to actual demand, all powered by AI that learns your facility's unique patterns.

Start Forecasting
95%Accuracy
60-dayForecast Range

AI Predictions

Machine learning models trained on your historical data

Weather Integration

Automatic adjustments based on local weather forecasts

Seasonal Awareness

Recognizes holidays, events, and recurring patterns

Weekly Forecast
Actual
Predicted
MonTueWedThuFriSatSunMonTueWed
Next Saturday: +18% expected
95% confidence

Know What's Coming Before It Arrives

Stop reacting to demand and start anticipating it. Our AI combines historical patterns, seasonal trends, and real-time factors to give you a 60-day window into your facility's future.

Location-Level Intelligence
See forecasts for your entire building AND individual spaces: library, children's area, meeting rooms. Know where demand will surge.
Tomorrow's Forecastby zone
Main Floor
245
Library
82
Children's
38
Meeting Rooms
24
Total predicted389 visitors
Self-Improving Accuracy
Models that get smarter every day. We compare predictions to reality and automatically recalibrate. No manual tuning required.
Model Accuracy Over Time96%
78%
Month 1
86%
Month 3
91%
Month 6
94%
Month 12
96%
Now
Daily recalibration improves predictions automatically
Traffic Trends
Spot long-term growth or decline patterns
+12% vs last year
Day & Season Aware
Saturdays vs Mondays, summer vs winter, factored in automatically
M
T
W
T
F
S
S
Peak: Sat-Sun
Weather Integrated
Rainy days bring more visitors indoors, and we know that
☀️Sunny
+5%
🌧️Rain
+28%
❄️Snow
-15%

Forecasts You Can Trust

See exactly what factors influence each prediction and why our models keep improving.

From Building to Bookmark Corner

Most forecasting stops at the front door. Ours goes deeper. Get predictions for the entire facility AND every zone within: meeting rooms, children's areas, quiet study spaces. Know exactly where demand will surge.

The Pain

Tired of over-staffing one area while another is overwhelmed?

The Outcome

Deploy resources exactly where they'll be needed.

Hierarchical Forecasts
Building Total
389
Main Floor
245
Library Wing
82
Children's Area
38
Study Rooms
24
Drill down to any level: room, floor, or zone

The Science Behind the Prediction

Every forecast weighs four key factors, automatically adjusted based on your facility's unique patterns. No manual tuning required. The model learns what matters most for your location.

  • Historical traffic patterns reveal baseline expectations
  • Day-of-week rhythms capture weekly variations
  • Seasonal trends anticipate recurring events
  • Weather data adjusts for local conditions
Factor Weights
40%
25%
20%
15%
Historical Trends
40% weight
Day of Week
25% weight
Seasonality
20% weight
Weather
15% weight
Weights auto-adjust based on your data

Gets Smarter Every Day

Our models don't just predict, they learn. Every day, we compare predictions to reality and automatically recalibrate. Your forecasts improve without any effort from you.

The Pain

Forecasts that were wrong last year shouldn't be wrong again this year.

The Outcome

Accuracy that compounds over time: 96% and climbing.

Learning Timeline
96%
Day 1
Model deployed
72%
Day 7
First recalibration
79%
Day 30
Pattern recognition
87%
Day 90
Seasonal learning
93%
Today
Continuous improvement
96%
Daily recalibration with zero manual effort

Plan Two Months Ahead

Near-term predictions are highly confident. As we look further out, we show you exactly how certain we are with visual confidence bands. Transparency you can plan around.

The Pain

How far ahead can you really trust a forecast?

The Outcome

Clear confidence intervals so you know when to commit and when to stay flexible.

60-Day Forecast
Today30 days60 days
Forecast
Confidence
Wider bands = more uncertainty, narrower = commit with confidence

Turn Predictions Into Action

Knowing what's coming is only valuable if you can act on it. Here's how facility managers use forecasting data every day.

Operations

Right Staff, Right Time

Stop scheduling based on gut feel. Align your workforce to predicted demand to reduce overtime, eliminate understaffing, and keep service levels high.

23%labor cost reduction
  • Predict staffing needs 2 weeks out
  • Automatic overtime risk alerts
  • Service level forecasting
  • Shift recommendation engine
Staff Alignment4/5 optimal
9am
Predicted: 45|Actual: 48
2 staff
11am
Predicted: 120|Actual: 115
3 staff
1pm
Predicted: 180|Actual: 175
4 staff
3pm
Predicted: 140|Actual: 155
2 staff
5pm
Predicted: 95|Actual: 90
3 staff
3pm understaffed: consider adding 1 more

Plan with confidence, not guesswork

Join facility managers who've replaced reactive scheduling with proactive planning. See exactly what's coming and be ready for it.