Unlock the Power of Workload Prediction
Workload should be at the heart of every business decision. But here’s the real question—do you truly know what your workload is? Surprisingly, most companies don’t. They assume it’s too complex to calculate, leading to missed deadlines, lost opportunities, or wasted resources. The truth is, you don’t have to wait until it’s too late. By predicting workload in advance, you gain control, optimise resources, and prevent costly inefficiencies.
How We Make Workload Prediction Work for You
We specialise in transforming raw data into actionable insights using advanced regression techniques. Whether your workload is steady, seasonal, or fluctuates unpredictably, we identify trends to provide accurate forecasts.
Through stochastic analysis, we combine probabilities and predictive modeling to fill gaps where data is missing. Then, using Monte Carlo simulations, we rigorously test strategies, ensuring that your operations align seamlessly with demand.
What does this mean for you?
✔ Accurate staffing calculations – ensuring neither over- nor understaffing
✔ Optimised supply strategies – validating cost-effective solutions before implementation
✔ Consistent service delivery – adapting dynamically to meet changing business needs
✔ Better work-life balance for employees – creating fair and flexible schedules
Take Action Today
If you want to take control of your workload and maximise efficiency, join us at our Managing Shift Patterns Workshop on 18th June in London.
Workload should be at the heart of all your business decisions; use workload prediction to optimise your operation.
To find out more about our workshop click here: Managing Shift Patterns Workshop
Alternatively, explore our Shift Pattern Consultancy services to see how we can help you predict, optimise, and grow your business efficiently.
Case Study: Optimising Call Centre Staffing
One of our clients—a busy call centre—needed a smarter way to minimise missed calls and optimise staffing. While many businesses rely on the Erlang C formula, which determines the number of agents required to achieve a specific service level, they often struggle with translating those calculations into an efficient day-to-day operation.
Understanding the Erlang C Formula
Erlang C helps predict the probability that a call will have to wait in a queue. It considers traffic intensity and the number of available agents to determine staffing requirements for maintaining service levels.
While this formula is a powerful tool for converting workload into manpower, it requires a trial-and-error approach—testing different staffing levels to ensure waiting times remain within acceptable thresholds. However, while Erlang C tells you how many agents are needed for any given hour, it doesn’t provide a strategy for structuring shifts throughout the day.
From Staffing Calculations to Real-World Operations
Let’s examine the staffing requirements over the week: see graph on right.
As shown in the graph, the number of call handlers needed fluctuates from 50 agents at peak hours to fewer than 5 in the early morning. The challenge isn’t just predicting workload—it’s optimising staffing to align with demand while ensuring smooth operations.
How We Create a Sustainable Workforce Model
This is where our expertise comes in. Once we determine the correct staffing levels, we develop customised shift patterns that match workload requirements while factoring in:
✔ Contingency planning for holidays, absences, training, and staffing changes.
✔ Efficient scheduling to ensure operations are always adequately staffed.
✔ Employee well-being, offering a consistent work-life balance to minimise fatigue and improve retention.
✔ Proactive workforce management, eliminating the chaos of last-minute cover for absences.
Ready to Optimise Your Operations?
If you want to minimise costs while maintaining high service levels, join us at our Managing Shift Patterns Workshop on 18th June in London.