Back to blog overview

What are capacity planning algorithms and how do they help plan my labour budget?

Step 1: What is Labour Budgeting?

Retailers use labour budgeting practices to determine their yearly, quarterly, or weekly labour costs based on an expected workload. Annual or periodic budgets typically include historical averages of sales, a growth factor, and some forecast of labour. It’s easy for organisations to calculate the cost of their labour by simply calculating what hours were worked multiplied by the cost of each worker. But a common misconception is the ease of determining the hours that should be worked while also strategically staffing far into the future. This is a challenge for retailers that want to consider multiple organizational changes that may impact the structure of their current staff and ultimately their overall labour budget. Common questions include: What if I open a new store? What if I invest in new technology that changes my labor standards? What if the minimum wage increases and I want to save on increasing staffing costs? In order to calculate what my staffing hours should look like and the associated cost in all potential future scenarios, retailers need timely insight into what the optimal staffing mix should be, and what recruitment efforts may be needed to accommodate for these realistic changes in the business.

 

Handling all projected future scenarios may sound like a headache, however capacity planning algorithms can solve it all, in a matter of seconds. Simplifying the process of understanding and planning staffing levels strategically is important for organizations to operate efficiently. Helping retailers retain the appropriate recruitment efforts and staffing levels as an accurate and necessary input into their labour budget is easily solved with optimization, or what’s known as, capacity planning algorithms. With capacity planning algorithms, I (as a retailer) can plan for the future knowing the algorithm’s recommended staffing levels are determined with my costs and organization in mind.

 

Step 2: Why use capacity planning algorithms?

So how does one strategically plan to get the right mix of employees to meet changing demand throughout the year? With capacity planning algorithms, reducing the complexity of workforce planning can be solved in a matter of seconds.

Capacity algorithms can reduce the inefficiency of manual calculations through easy iterations of changeable inputs, allowing the creation of “what-if” scenarios. With the consideration of multiple user-based factors such as optimal ratios, costs of recruitment efforts, and penalties for over or understaffing relative to the demand, dynamic and required staffing levels are calculated at each week of the budgeted time frame.

Having accurate insight into your future labour pool allows you to build your ideal workforce; one that is optimised to reduce excess labour expenses, reduce lost sales opportunities with fluctuating staffing levels, and to improve productivity. Beyond building the ideal workforce, the algorithms provide a more realistic and timely input into the labour budgeting process as a whole.

 

Step 3: How does the capacity algorithm actually work?

The capacity algorithm’s goal is to minimise the gap between required headcount and current supply for each budgeted time period. The algorithm takes projected demand hours, aligns them with the current supply hours (including attrition rate), and optimises the alignment of staffing levels with recommendations on when to hire, reallocate, or re-train employees in order to cover the demand. Recommendations are provided at the weekly level, ensuring each level of employees are able to appropriately cover the forecasted peaks and valleys in the upcoming demand.

 

 

The algorithm also takes into consideration a combination of business constraints, including the cost of hiring or re-training specific employee types, the desired/optimal full time to part time ratio, the efficiency rate of each employee type, as well as weighted penalties of over/under covering the demand curve (see graph above). For example, if there is a seasonal demand spike, the algorithm will recommend what type of staff to hire or re-train and when to hire them – based on efficiency factors, targeted service level, and costs to cover the curve. The end goal is to maximise coverage, while minimising added staffing costs or potentially lost revenue.

 

Strategically planning future staffing levels not only helps save added labour costs and increase service levels, but it also helps align the labour budgeting process. Increased transparency of staffing levels and their respective costs to the organisation allow for a holistic labour budget – one that accounts every week’s staffing needs backed by optimisation.

 

Step 4: How can the capacity algorithm benefit YOU?

Are you looking to streamline your workforce? Do you need increased insight into your yearly, quarterly, or monthly staffing requirements? Consider using optimisation to strategically plan your next staffing move, whether that be using the capacity algorithm to solve your yearly projected staffing outlook, or running optimized rosters into the capacity algorithm to generate your ideal staff mix. Our workforce optimization algorithms are designed to align all the complexities when it comes to staffing.

 

Go to www.widgetbrain.com/capacity-planning/ for more information or request a demo here.

 

By Carly Caswell, Customer Success Manager at Widget Brain

carly.caswell@widgetbrain.com

EMEA office

Maarten de Boo

Rotterdam Science Tower

Marconistraat 16

3029 AK Rotterdam

The Netherlands

europe@widgetbrain.com

North American office

Stacy Huffstetler

VCET

266 Main St

Burlington, VT 05401

United States of America

northamerica@widgetbrain.com

APAC office

Berend Berendsen

Canberra office

28/8 Trevillian Quay

Kingston ACT 2604

Australia

australia@widgetbrain.com

Support

We are here to help out!
Visit our Support Page

Or contact us via:

support@widgetbrain.com
tel: +31103130313