Forecasting

Predict staffing demand with confidence

Predict your short-, mid-, and long-term staffing and workload with accurate, data-driven forecasting. Achieve unmatched efficiency and service, no WFM expertise required.

Weekly forecast with accuracy metrics and staffing requirements

Sophisticated yet simple

Soon Forecasting goes beyond simple predictions. It combines advanced models, real-time adaptability, and seamless integration with scheduling to deliver unmatched accuracy and efficiency.

Predict demand with precision

Connect your historical data and let Soon automatically generate continuous forecasts

Forecast at 15-minute, 1-hour, and 1-day intervals. Easily connect your data via API, direct database connections, or CSV uploads. Handle seasonality, trends, and timezones automatically.

  • Easily connect your data via API, direct database connections, or CSV uploads
  • Forecast by queue, channel, or location for any volume-based demand
  • Handle seasonality, trends, and timezones automatically
  • Auto-apply the best forecasting model or choose manually per interval
  • Forecast up to 1 year ahead with 15-min, 1-hr, and 1-day intervals
Volume forecasts and staffing breakdown by dataset
Outlier management in forecast dataset details

Tailor forecasts to fit your business

Adjust for events, holidays, and anomalies

Customize forecasts for your business. Set key parameters like business hours, locking days, and exclude outliers from system failures or extreme demand spikes.

  • Identify and exclude outliers (e.g., system failures, extreme demand spikes)
  • Adjust forecasts manually for planned events or marketing campaigns
  • Factor in contact volumes inside and outside business hours
  • Automatically include public (inter)national holiday demand patterns
  • Lock forecasts for upcoming days to ensure consistency and reliable scheduling
Staffing parameters configuration for forecast customization

Create actionable staffing plans

Bridge the gap between forecasting and workforce planning

Soon automates staffing requirements to eliminate guesswork and spreadsheets. Convert forecasts into detailed staffing needs using Erlang C, Erlang A, or Linear models.

  • Set parameters like service levels, AHT, shrinkage, and occupancy
  • Plan staffing at 15-min, 1-hour, or 1-day intervals with precision
  • Consolidate forecasts and assess team capacity needs effortlessly
  • Ensure baseline coverage with min and max staffing requirements
Intraday scheduling with integrated forecast-driven staffing

Turn forecasts into schedules

A unified platform for accurate, stress-free workforce management

Soon pairs forecasting with shift and intraday scheduling, so your schedule always matches demand. Compare forecasted vs. actual volume and staffing at a glance.

  • Sync real-time updates so your schedule always matches demand
  • Automatically adjust shift and intraday activity staffing levels
  • Re-forecast instantly when new data or demand shifts occur
  • Seamless collaboration with shared forecasts and team-wide visibility
Forecast-driven schedule with real-time staffing comparison

Why forecast with Soon?

Maximize operational efficiency

Save time and cut costs by aligning staffing with demand accurately. Say goodbye to manual spreadsheets and guesswork.

Adapt quickly and stay ahead

Refine forecasts for seasonal peaks, holidays, or demand spikes. Lock forecasts for stability, re-forecast with precision.

Effortless integration

Connect your data via API, CSV, or database and collaborate effortlessly. Accessible even for teams new to workforce planning.

Multi-modal precision

Soon supports a wide range of forecasting methods, each designed to tackle specific business challenges.

Holt-Winters

Incorporates trends, seasonality, and cyclical patterns for data with consistent, predictable changes over time.

UCM

Breaks down data into trends, seasonality, and irregular components for precise and interpretable forecasts.

Linear Regression

Analyzes and predicts demand trends by fitting a straight line through historical data points.

Auto-ARIMA

Automatically selects the best ARIMA model parameters for accurate forecasts with minimal configuration.

N-Week Average

Predicts future demand by averaging data from the same weeks in previous periods. Perfect for recurring weekly patterns.

Prophet

Developed by Meta, Prophet excels at handling seasonality, trends, and missing data in complex business environments.

Holt's Linear

A simplified trend-based model that captures linear growth or decline, well-suited for datasets without seasonal or cyclical variations.

Spreadsheets vs. Soon

Predicting demand is hard. Doing it with mountains of data points while navigating holidays, spikes, and real-time curveballs? Brutal. One wrong forecast leads to burnout, blown budgets, or chaos. Ditch the spreadsheets and guesswork.

Spreadsheets & gut instinct

  • Prone to human error, leading to miscalculations
  • Time-consuming and rigid for last-minute changes
  • Lacks real-time insights into trends and patterns
  • Struggles with large datasets or seasonal shifts
  • Built by one expert, difficult to maintain or update
  • Limited to basic models, reducing accuracy

With Soon

  • Automates calculations, minimizing errors
  • Fast and flexible for last-minute changes
  • Offers real-time insights into trends and forecasts
  • Handles large datasets and seasonality with ease
  • No expertise required, accessible to anyone
  • Includes advanced forecasting models for adaptability

"Soon's forecasting completely changed how we plan our workforce. We used to rely on spreadsheets and gut instinct, but now we have accurate, automated forecasts that integrate seamlessly with our scheduling. It's effortless, reliable, and has saved us countless hours while improving service levels."

Ossip Kupperman

Process Optimization Specialist, Knab

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