AI is freeing up frontline retail capacity. What could your employees do with 44% more time?

Retail leaders are investing heavily in AI to improve forecasting, automate tasks, and optimize operations. Deloitte’s own practice in workforce optimization shows that 44% of frontline work could be redesigned, unlocking up to 174,900 weekly hours of potential frontline capacity for a workforce of 1,000 full- and part-time employees.¹

But AI alone does not create better customer experiences, higher sales, or a more engaged workforce—it simply creates capacity. This additional capacity potential can be quickly lost, absorbed by more transactions, more task-switching, or more operational noise.

Before AI frees up frontline capacity, it’s time to ask: how will more capacity improve value for the business, the customer, and the worker? The answer lies in redesigning the work.

Work redesign

Work redesign is the intentional re‑imagining of what work is done and how it is delivered, anchored by new business outcomes. It evaluates tasks, workflows, roles, and decision rights to determine what work should be done, who should do it, and how those elements come together to deliver new value.

AI is increasingly capable of taking on routine tasks that dominate today’s frontline retail roles. Digital workers can predict stock-outs before they happen, adjust staff schedules in response to real-time events, or assist in troubleshooting without manager intervention.

But without intentional work redesign, customer service gets faster, not necessarily better. Already, 29% of frontline employees fear AI will simply add more work.² Capacity must be explicitly reallocated—or it will be invisibly consumed, eroding the very value the technology was meant to create.

Time is an asset that can be unlocked by intentionally redesigning work rather than reducing headcount. Getting the maximum value from work redesign requires articulating the target outcomes; identifying what work needs to stop, start, continue, or change; and ultimately reimagining the vision of the role.

This approach allows organizations to simultaneously consider the benefits of each change from three value perspectives:

• Business value. Organizations with the highest degree of digital connectivity (75% of their frontline workers) saw more than 20% growth.³
• Customer value. Organizations with better workforce experience are 1.6 times more likely to achieve better customer outcomes; customer satisfaction is twice as high in organizations in the top quartile of workforce experience.⁴
• Worker value. When frontline workers can access a thoughtful mix of technology, productivity is estimated to increase by 22%.⁵ This approach turns AI from a threat into a relief valve.

Insights found with Workforce Analyzer

Workforce Analyzer is a proprietary Deloitte tool that assesses work at the task level to understand the automation potential of AI. In a few short weeks, it produces an overall disruption score and highlights potential hours saved. With Workforce Analyzer, what once took months and significant investment now happens in days. It cuts through complexity to rapidly surface where value sits and how work should shift.

This rapid, proactive analysis is a competitive advantage giving leaders earlier visibility into disruption potential—so they can proactively target highest value potential and act with greater intent.

It is clear through our work with clients that organizations only capture value from AI when they take a deliberate, focused approach to work redesign, focusing on three key shifts:

• Start with tasks, not roles. The highest value comes from selectively automating the right work—not stripping out entire jobs and losing what makes them effective.
• Redesign how work gets done, not just the tools used. Deploying technology into existing workflows limits impact; real value comes from rethinking the work end-to-end.
• Treat frontline capacity as a strategic asset. Organizations that win are those that actively reinvest freed capacity into customer experience, workforce capability, and adaptability—rather than allowing it to be absorbed.

But the most important insight is this: organizations that redesign work outperform those that don’t.

Deloitte’s research shows companies that successfully adopt adaptive approaches to work are 2.4 times more likely to report better financial results and meaningful work.⁶ Personalized, human-centred work design approaches are associated with organizations being nearly three times more likely to report better business and human outcomes.

Before and after: retail roles

Advances in AI—from automated replenishment to smarter scheduling and AI-assisted tasking could create up to 44% more capacity for frontline retail associates. But without the right strategy, this capacity will simply be reabsorbed.

To realize the full value of freed capacity, work redesign improves on what came before while making the best use of the capacity that comes after.  

How Deloitte can help your organization turn capacity into value

The opportunity is clear: AI can unlock significant frontline capacity—but only the organizations that intentionally redesign work will capture its full value.

Understanding where that capacity opportunity exists is the first step. Tools like Workforce Analyzer provide a rapid, data-driven view of how work is shifting, highlighting where capacity can be unlocked and where work redesign will have the greatest impact.

To learn more about turning increased capacity into value, contact our workforce strategy and intelligence leaders to redesign work, and unlock AI advantage.