Labour is one of the biggest investments in retail. It is also one of the hardest to get right. Most retailers are not trying to cut hours blindly. They are trying to answer a tougher question. Are we putting the right people in the right stores at the right times? 

That is where labour banding makes a real difference. 

Why Labour Banding Matters 

Too many retailers still rely on broad averages, historical habits, or instinct when allocating labour. That approach creates imbalance. Some stores are overfunded and others are stretched thin - both scenarios hurt performance. 

Labour banding uses store level data to group locations with similar characteristics. Stores are compared fairly, based on what they actually are, not what they are assumed to be. 

The impact is clear: 

• Stores with similar profiles are measured against similar expectations 

• Labour hours and pounds are allocated transparently 

• Managers understand the standards they are working toward 

• Peak hours are staffed properly, not guessed at 

Consider this: Roughly 50 per cent of sales happen in just 20 hours a week. If staffing is off during those hours, the damage is immediate. Precision matters and labour banding brings that precision. 

How Labour Banding Works 

Labour banding starts with clean, reliable data. Sales and labour information are combined over a defined period. From there, stores are grouped, or banded, based on shared attributes such as: 

• Sales volume 

• Store format, such as full price versus outlet 

• Geography, such as Canada versus United States 

• Store tier, such as Flagship versus AA 

Once stores are grouped, performance is compared within each band. This is where the truth shows up. Outliers become visible. Some stores are operating with too many hours for their output. Others are delivering strong results with too little support. 

From there, labour standards are applied to each band. Future planning is no longer based on guesswork. It is based on evidence. 

The KPIs That Power Labour Banding 

Strong Labour Banding depends on looking at the full picture, not just one metric. 

Insight KPIs:

• Open Hours 

• People Per Open Hour, or PPOH 

• Available Capacity 

Performance KPIs: 

• Sales 

• Traffic 

• Transactions 

Labour KPIs: 

• Total Hours 

• Selling Per Cent 

• Non Selling Per Cent 

When these metrics are aligned, retailers can see not only how much labour is being used, but how well it is being used. That distinction changes everything. 

Creating Labour Bands and Identifying Outliers 

The structure behind labour banding is disciplined and consistent.

First, stores are grouped by attributes like format, tier, geography, and volume. Next, thresholds are defined, these might be based on sales, traffic, or transactions. Then variance is measured within each band. The spread between top and bottom performers tells a story. Outliers are flagged, these stores are not problems, they are signals.

They show where labour may be misaligned with opportunity, they reveal where hours can be rebalanced, they highlight where productivity standards need adjustment.

Without this analysis, those insights stay hidden.

Standardising Labour with SPH and PPOH 

Two metrics anchor strong labour standards: 

• Sales Per Hour, or SPH 

• People Per Open Hour, or PPOH 

SPH ensures labour grows in proportion to sales. As volume increases, hours adjust logically. 

PPOH protects service levels. It ensures there is always a minimum staffing foundation to support the customer experience. 

Together, these measures create balance. Productivity improves without sacrificing service. Teams are supported without overfunding stores. 

Success Story

How Steve Madden Optimised Performance Through Scheduling

Read more about it here.

Turning Insight into Action with StoreForce 

Analysis only matters if it leads to action. This is where StoreForce stands apart. 

Labour banding is built directly into the StoreForce platform. Retailers do not need spreadsheets stitched together from different systems. They do not need manual calculations or disconnected reports. 

Within StoreForce, teams can: 

• Build worksheets using the KPIs and attributes that matter most 

• Group stores into labour bands quickly and consistently 

• Use visual tools like scatter charts to spot outliers in seconds 

• Model adjustments and see how labour hours shift 

• Summarise findings and share clear recommendations with leadership 

StoreForce connects scheduling, performance tracking, and labour planning in one system. That means decisions made at head office translate directly into action at the store level. Managers understand their targets. Hours align with demand. Results can be tracked in real time. 

For retailers operating multiple locations, this level of control and visibility is no longer optional. It is the standard. 

Why This Matters More Than Ever 

Retail has changed. Traffic patterns are less predictable. Labour costs continue to rise. Store teams are expected to deliver more with tighter margins. When half of weekly sales happen in a narrow window, precision staffing is not a luxury. It is the difference between hitting plan and missing it. 

Labour banding gives retailers a disciplined way to align labour with performance. It reduces waste without starving stores. It protects the customer experience while improving productivity. 

With StoreForce, that analysis does not sit in a slide deck. It becomes part of daily operations. Retailers planning for the years ahead need more than reports. They need clarity, structure, and execution. 

Labour banding provides the structure. StoreForce turns it into results.