01
Choose the forecast route
Forecast weekly demand directly, or use contact rate when demand is linked to a measurable customer or sales base.
Free Planning Tool
Compare recognised forecasting methods against what really happened, then review and export a 52-week forecast for one demand queue.
What It Does
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
01
Forecast weekly demand directly, or use contact rate when demand is linked to a measurable customer or sales base.
02
Provide consecutive weekly dates and demand. The tool includes templates and example data to help you start.
03
Review past accuracy, the recommended method and the 52-week outlook, then download the forecast as a CSV.
What You Need
A UTF-8 CSV containing consecutive week-commencing dates and demand for a single queue.
WMA and Holt-Winters need at least 26 weeks. Seasonal Naive and Prophet need at least 104 weeks.
For contact-rate forecasting, add aligned historical base values and 52 weeks of future base data.
The recommendation reflects historical fit. It cannot know about future campaigns, operational changes or one-off events unless you account for them separately.
Questions
No account is needed. Start with the example data or download a template before using your own history.
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.
Depending on the amount of history supplied, it can compare Weighted Moving Average, Holt-Winters, Seasonal Naive and Prophet.
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.
No. Uploads are processed in memory during your session and are not stored by the tool.
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?
The interactive tool opens on the Contact Dynamics tools site. It is free and requires no account.