Ask any retail store associate about their holiday peak season experience, and they will likely describe it as exhausting.
On an average retail shift, an associate walks roughly 10,000 steps. During the high-velocity holiday rush, that number easily doubles, frequently surpassing 20,000 steps. This is the equivalent of walking nearly ten miles on hard store floors. The explosive rise of omnichannel fulfillment options like Buy Online, Pick Up In-Store (BOPIS), Ship from Store, and curbside pickup, has transformed store associates into industrial order pickers operating within highly unpredictable, customer-facing environments.
Unfortunately, a massive percentage of those 20,000 steps represents wasted effort. Associates lose precious time crisscrossing aisles, hunting through messy shelves, and doubling back to the stockroom when inventory records don’t match reality. Over the course of a demanding holiday season, these steps can compound into severe physical exhaustion, plummeting morale, and high seasonal turnover.
Eliminating Steps with RFID
This year, forward-thinking retail leaders have shifted their technology strategy, linking true operational ROI directly to how effectively software eases the physical and cognitive burdens on frontline employees. By viewing technology through a human-centric lens, retailers can leverage artificial intelligence (AI) and Radio Frequency Identification (RFID) to eliminate operational friction and directly support their workforce.
Out-of-stock and misplaced inventory actively steal physical steps from frontline workers. When an associate tasked with picking a BOPIS order faces an empty shelf, they must abandon their picking queue and embark on a time-consuming search mission.
By putting handheld RFID readers and smart inventory mapping in the hands of store associates, retailers can replace frustrating searches with pin-point accuracy. RFID gives the frontline near-perfect, real-time inventory visibility. Instead of guessing where a specific holiday toy or apparel item might be, an associate is guided along the most optimized path directly to the exact shelf or backroom bin.
Removing the frustration of searching preserves the associate’s energy, allowing them to remain fresh, positive, and ready to assist shoppers.
Eliminating Decision Fatigue with Intelligent Task Management
The holiday sales floor is inherently chaotic. At any given moment, an associate might be pulled between picking an online order, restocking a fast-moving display, managing a return, or greeting an in-store shopper. This constant juggling act creates severe cognitive fatigue.
Instead of making workers guess under pressure, retailers increasingly deploy AI-backed prescriptive analytics to dynamically prioritize floor tasks. Intelligent task management systems analyze store traffic, incoming online orders, and current staffing levels in real time. The system then pushes the “best next action” directly to the associate’s handheld mobile computer. This is especially valuable during holiday peak where retailers hire seasonal associates right up until the peak holiday season kicks off.
By automating the prioritization of work, and providing the context around it, technology removes the mental load of decision-making. Associates always know exactly what to tackle next, and how to do it, ensuring that operational chores never crowd out high-value customer service.
Relieving Pressure at the Point of Sale
The checkout lane is a retail store’s ultimate pressure cooker during the holidays. It’s the single area of a retail store where every customer experiences and determines how customers perceive their entire shopping experience. Frontline cashiers and self-checkout attendants face constant pressure to keep queues moving while managing transaction errors and security alerts. For self-checkout supervisors, this means constantly running back and forth between registers to clear minor, repetitive system pauses.
Implementing computer vision and machine learning at the Point of Sale (POS) can dramatically reduce this friction. AI-powered scanners can identify items, recognize non-scanned goods, and resolve simple discrepancies in real time before a human supervisor needs to intervene. When technology resolves minor glitches automatically, self-checkout attendants don’t have to waste physical steps rushing from screen to screen. They can maintain their position and visibility, retain a relaxed demeanor, and focus on delivering genuine, friendly customer engagement.
In the high-stakes holiday quarter, frontline workers carry the weight of operational resilience. Retailers cannot sustain faster delivery times and higher fulfillment rates when they build those metrics on the backs of an exhausted, burnt-out workforce.
To build peak season resilience, retail leaders must evaluate technology through the lens of human preservation rather than raw logistical optimization. In today’s labor market, protecting the frontline is the only sustainable way to protect the bottom line.
Matt Fehrenbach is the Global Vertical Strategy Lead for Retail at Zebra Technologies. In this role, Matt is responsible for driving Zebra’s global strategies forward through innovation, solving complex customer operational problems, and delivering next-generation retail solutions. With over 25 years of leadership in retail operations, he has extensive experience leading organizational transformation and technology adoption for major retail brands.
