In six months, the big day is coming—you’re getting married! You have invited 150 guests and want everything to be perfect, with plenty of food and drinks. But there is a catch: you are unsure how many people will actually attend the wedding beforehand. Some guests may cancel, while others might bring friends or family. This leaves you with a decision; if you order too early, you risk over- or under-stocking. However, if you wait until the last minute, you might find yourself in a lot of stress or feeling unprepared.
This balancing act is what workforce management teams face every day. They must ensure enough employees are available to answer the calls in time to ensure no customers are lost and to guarantee customer satisfaction. And just like the wedding, good forecasting helps achieve the best result.
The Role of Forecasting in Workforce Management
Forecasting is the key to effective decision-making as it helps organisations anticipate the future, manage demand, and allocate resources efficiently. It provides the insights needed to plan and run operations smoothly. Therefore, forecasting is pivotal in workforce management, particularly in contact centers. Here, having enough employees available to handle the incoming volumes is crucial. This ensures customers do not lose patience and that their questions are answered in time to guarantee satisfaction.
It can be divided into short-term and long-term approaches. Both play an important role in strategic planning while serving a distinct purpose. Short-term forecasts provide insights into the near future, focusing on immediate needs and operations decisions. In contrast, long-term forecasts take a broader view, helping in strategic planning by preparing for changes over months or years.
Short-Term Forecasts
Short-term workforce management forecasting plays a crucial role in day-to-day decision-making and operational management, such as staffing and scheduling, especially in dynamic environments like contact centres. By using the latest available information, it responds effectively to sudden changes in data.
This responsiveness to recent changes makes short-term forecasts powerful and useful for day-to-day decision-making. For instance, if a contact center had to rely on a forecast made months ago, it might predict too few incoming calls during a product recall or too many on a day with unusually low demand. Short-term forecasts provide companies with insights into the near future, allowing managers to make informed decisions based on the latest data.
The precision of short-term forecasts vanishes when being applied to a larger period. A short-term forecast’s precision level fails to account for bigger and/or more uncertainties inherent to a longer period. For example, we can predict that next week will have an average of 20 extra incoming calls per day. However, when predicting the number of calls for next year, unexpected shifts in the economy or customer behaviour, technological advancements or changes in social trends would greatly impact this prediction. When willing to predict further into the future, long-term forecasts come into play.
Long-Term Forecasts
Long-term forecasts offer a general perspective on a company’s future. They focus on broader intervals, such as months, quarters, or years. These forecasts capture trends and patterns, providing strategic insights rather than accounting for short-term fluctuations.
In workforce management, long-term forecasts help anticipate structural changes and long-term trends. They can, for example, help predict needed staffing levels for upcoming holidays or identify changes in customer behaviour over the years.
Since long-term forecasts focus on the broader view and trends, they require less frequent updates than short-term forecasts. Trends often change gradually over time, such as the decreasing number of people calling insurance companies. Long-term forecasts’ “less precise” characteristics allow them to detect these gradual changes, enabling businesses to adapt effectively to evolving trends and behaviours.
Forecasting Tools
Forecasting uses mathematical models that analyse historical data and output forecasts for a given day or horizon. While some organisations rely on programs such as Excel to apply forecasting models manually, forecasting tools offer a more streamlined and flexible alternative. These tools allow companies to upload their data and produce a forecast with a few clicks.
These tools simplify the forecasting process and provide a clear overview of the data, enabling users to better understand its patterns, trends, and potential anomalies.
Accuracy Expectations
Short-term forecasts focus on the near future and day-to-day decision-making, requiring relatively high accuracy to remain meaningful. Combining low data granularity and higher update frequency ensures these forecasts stay relevant and precise.
In contrast, the accuracy of long-term forecasts diminishes over time as uncertainties and unforeseen external factors accumulate. The further into the future, the more unforeseeable factors can occur.
While short-term forecasts provide actionable insights for immediate needs, long-term forecasts focus on capturing broader trends and patterns. This approach inherently sacrifices some precision in favour of flexibility and adaptability.
Spotlight on CCforecast
Forecasting tools can help streamline and provide flexibility for forecasting. CCforecast is one of these modern forecasting tools which helps contact centers optimise their workforce management. CCforecast contains many customisable features besides the machine learning/ AI forecasting methods it provides.
CCforecast defaults important model parameters to “auto.” This way, the model will find the best value for each parameter. Additionally, users can adjust parameters like trend and season smoothness to better reflect the forecast’s purpose, whether it’s for short-term decision-making or long-term strategic planning.
Some key features of CCforecast which make it stand out from other solutions are:
- CCmath’s Spline algorithm is used for robust intraday patterns. This algorithm reveals hourly patterns during the day, considering preceding and trailing time slots.
- Unmatched event management (e.g. marketing campaigns) with automated historical impact detection and extrapolation to future effects.
- It has a repeat traffic detector to get a comprehensive insight into repeat calls and fresh volume.
- Being able to compare what-if scenarios with the ability to create, save, export and compare an unlimited amount of forecasted scenarios using a snapshot feature.
These features make CCforecast a powerful and versatile tool for optimising contact centers. CCforecast provides businesses with the flexibility and precision needed to handle short-term fluctuations and long-term planning. Whether you are preparing for an increase in call volumes during a marketing campaign or analysing long-term trends to adjust staffing strategies, CCforecast allows organisations to make informed decisions with confidence.
If you seek a forecasting tool that seamlessly adapts to your business needs (or wedding plans 😉) and keeps you ahead in a competitive market, look no further. CCforecast is the solution to streamline your planning and optimise your operations precisely and easily.