Free Planning Tool

Single Queue Forecast Generator

Compare recognised forecasting methods against what really happened, then review and export a 52-week forecast for one demand queue.

What It Does

Compare methods before choosing a view of future demand.

A forecasting method should earn its place by showing how well it would have performed on your history. The tool holds back recent weeks, compares the available methods against the actual results and recommends the strongest fit.

You can forecast demand directly or, where demand is driven by a known customer or sales base, forecast the contact rate and apply it to your future base plan.

Best used for: one stable weekly demand series where you want an evidence-based starting forecast, not a complete multi-queue planning process.

Three Simple Steps

Upload, compare and take the forecast away.

01

Choose the forecast route

Forecast weekly demand directly, or use contact rate when demand is linked to a measurable customer or sales base.

02

Upload your history

Provide consecutive weekly dates and demand. The tool includes templates and example data to help you start.

03

Compare and export

Review past accuracy, the recommended method and the 52-week outlook, then download the forecast as a CSV.

What You Need

A clean weekly history for one queue.

Weekly demand history

A UTF-8 CSV containing consecutive week-commencing dates and demand for a single queue.

Enough history

WMA and Holt-Winters need at least 26 weeks. Seasonal Naive and Prophet need at least 104 weeks.

Optional base data

For contact-rate forecasting, add aligned historical base values and 52 weeks of future base data.

Important limitation

The recommendation reflects historical fit. It cannot know about future campaigns, operational changes or one-off events unless you account for them separately.

Questions

Before you use the tool.

No account is needed. Start with the example data or download a template before using your own history.

Who is the forecast generator for?

It is for planners who want to create and test a forecast for one weekly demand series without first setting up a full workforce planning model.

Which forecasting methods does it compare?

Depending on the amount of history supplied, it can compare Weighted Moving Average, Holt-Winters, Seasonal Naive and Prophet.

What is contact-rate forecasting?

It separates demand from its underlying base. The tool forecasts contacts per unit of that base, then applies the result to your future base plan. This can be useful where customer numbers, policies or sales drive demand.

Is my uploaded data retained?

No. Uploads are processed in memory during your session and are not stored by the tool.

Is the recommended method automatically the right business forecast?

No. Historical accuracy is a valuable starting point, but you should review known future events, structural changes and business assumptions before approving the forecast.

Ready to Try It?

Create your single-queue forecast.

The interactive tool opens on the Contact Dynamics tools site. It is free and requires no account.

Open the free tool