As of early 2026, the world population is estimated to exceed 8.3 billion people, and many industries are facing labor shortages, including logistics. Labor shortages impact every level of business, from brokers to drivers. With peak season approaching and the market becoming more volatile, current labor restrictions are tightening further.
In the past, seasonal hiring worked, but it was planned around a predictable peak season. Now, with pop-up markets and flashing trends, logistics can’t keep up. This, combined with a lack of training and technical skills, forces the industry to rely on temporary staff; however, this model is becoming a thing of the past.
Lag Leads To Gaps
Making hiring decisions based on historical data needs to stay in the past. Freight demand now shifts faster than many pipelines can respond to, leading to an industry lag. Traditional hiring cycles assume predictable waves, but those are now giving way to a year-round tsunami of short-notice surges and industry-wide frustration.
The industry as a whole is seeing that warehouse and transportation teams often experience surges before new staff is properly prepared, widening the readiness gap between when labor is needed and when it is actually ready.
In a perfect world, carriers and warehouses would be able to hire staff who were screened, clean, and ready to go. However, since we don’t, employers must vet employees; the process is tedious but necessary. Additional hiring tasks, such as background checks, drug testing, and safety screenings, can extend hiring timelines by days or even weeks.
More specialized roles, such as equipment operators, require certification before starting. These setbacks lead to an average training time of 2 to 6 weeks to reach baseline productivity, depending on the job. While training takes time, high turnover during training often forces hiring teams to restart the hiring cycle, compounding delays.
New employees aren’t the only ones affected by the intersection of the readiness gap and labor shortages. On average, new employees operate at only a small percentage of average productivity in the first few weeks, while supervisors’ and experienced staff’s productivity drops as their time is taken up by training, slowing overall operations.
With slowed operations, businesses often incur losses during this period, as early errors such as mispacks, misloads, and damaged freight increase the work required and, in some cases, add tasks for corrections.
These labor inefficiencies are most visible during surges and promotional cycles. Peak demand arrives before teams are ready, and in the current market, flash surges are more frequent and appear with no lead time, leaving no room for staffing issues.
When new hires are not ready, experienced staff absorb the workload, pushing teams into overtime and driving fatigue that slows performance and raises labor costs. Understaffed docks and warehouses then fall behind on freight movement, causing delays, missed appointments, higher fees, and systemwide backlogs that damage service quality and carrier relationships.
Making the Cut
As the peak season transitions from a predictable season to unpredictable waves, ensuring you have the correct number of staff who are properly trained is difficult. Especially as the labor pool that once reliably fed warehouses, fulfillment centers, and trucking operations is now stretched thin across multiple industries.
Seasonal labor is also a hot commodity and often pulled from the same workforce. This results in companies offering higher wages to combat high turnover and trying to maintain a predictable staffing level for optimal operations, leading to surges. Even major retailers launch aggressive hiring campaigns for seasonal workers, and it’s getting earlier every year as the peak ‘season’ model fades into unpredictable waves.
Retail roles often offer set schedules with immediate start dates and are mostly indoor; these benefits make retail jobs more attractive to seasonal workers than warehouse or dock work. This tightens the rope around labor availability for operations, especially during the holiday seasons.
Beyond retail, gig jobs offer advantages that the logistics industry struggles to match. With the ability to determine when you will work and little to no difficulty getting started. As a bonus, gig work often allows you to withdraw funds the same day. Meaning that there is no 1–2-week period before you receive your funds.
To counter the benefits offered by gig work, many operations move to utilizing incentives. Some will offer sign-on and retention incentives, along with flexible schedules, making it very hard for warehouses and carriers to compete. Wage inflation spreads across the entire logistics industry, increasing costs from the front of operations to the back.
When it comes to seasonal work, logistics roles with the highest physical demands have the highest turnover, with many workers leaving mid-season. This turns the biggest threat from hiring to retention. When employees quit midseason, it forces carriers and warehouses to restart the cycle during peak periods.
Again, this leads to a drop in productivity while experienced employees train new employees, disrupting daily routines such as loading/unloading, order fulfillment, and dock scheduling. This, in turn, directly contributes to missed deadlines, increased dwell time, and backlogged operations.
Readiness Gap
Beyond the struggles of hiring seasonal employees, the readiness gap continues to widen as industries evolve their operational systems. Much of today’s warehouse and transportation operations rely on digital systems to enable data-driven workflows that prioritize automation over manual processes.
Seasonal employment has evolved from originally being used to fill basic roles to serving as a means of keeping operations running smoothly. Today, seasonal employment isn’t just jumping from job to job; the modern job market requires all workers, regardless of term, to learn new skills. This lack of technical skills makes it difficult to keep pace with the demands of fulfillment.
When technology gets involved, it’s evident how large the skill gap really is. Warehouses require workers to understand and operate without error on the following technology:
– Management/Scanning Systems
– Automation Systems
– Robotic and Advanced Workflows
The systems themselves are essential to maintaining efficient operation, but having someone who can properly operate, diagnose, and correct them is an entirely different story. Workers would be required to learn and understand advanced or specialized skills.
It’s important to note that, in modern-day fulfillment, real-time data, dashboards, and KPI‑driven decision‑making skills are required. Requiring that workers understand everything from pick rates to accuracy metrics to system priorities.
For seasonal employees, when they get placed in a position that requires using, understanding, or coordinating any of the mentioned systems, they must receive specialized onboarding to avoid collisions, workflow disruptions, or equipment downtime. This often leads to longer training and onboarding for new hires and lowers the ROI on seasonal workers, grinding down margins.
Most hiring decisions still follow outdated timelines, even though demand now spikes without warning, leaving logistics stuck in a cycle of hiring too late and losing workers mid‑season. By the time job notices go out, much of the labor pool has already been secured by other industries, widening the gap between when labor is needed and when it becomes available.
Retention Issues
You have new, trained staff. You may think the hard part is over; however, the challenge isn’t. The hardest part is retention: keeping your new employees to see a return on investment.
Many seasonal labor pools are unstable, and that instability just keeps increasing. With workers cycling in and out of jobs faster than operations can absorb, restarting training clocks at square one. These turnovers disrupt productivity, increase training costs, and ruin operational efficiency.
In a labor market that demands weekly shifts, losing trained workers is often more damaging than struggling to hire them. Seasonal workers frequently leave mid-peak for better opportunities, driven by higher wages and lighter schedules. When competing with industries that offer lighter workloads and preferred working conditions, such as indoor work, logistics struggles to make the cut.
Those competing industries do not just hire before peak season; they aggressively hire throughout it. Many workers who have been employed for two to four weeks are finally reaching acceptable productivity levels.
Here is where we see turnover rates spike; each departure forces supervisors and trainers to work harder. During this time, more experienced employees are fatigued by extended shifts and high physical demands, accelerating burnout.
Burnout is one of the leading reasons workers quit midseason, whether to avoid or alleviate it, especially when other jobs offer easier or more preferred working conditions. Fatigue-driven leaves hit hardest during the final weeks of peak volume.
Logistics fall short of providing preferable working conditions for many people, as jobs often require heavy lifting and exposure to weather in outdoor or partially covered terminals and ports. On top of irregular schedules, last-minute shift changes, and unpredictable hours during waves, push seasonal workers towards more stable roles.
Employee engagement also contributes to retention. Seasonal workers receive less training and onboarding, as many are hired for unskilled roles. While year-round employees receive benefits and perks that seasonal employees lack, seasonal employment offers little to no incentive to stay for the entire season.
Why Do Seasonal Hiring Models Matter?
Historically, seasonal hiring was the solution for peak season, but in 2026, this model needs to stay in history. Peak season is no longer a season but year-round waves. To stay ahead of the curve, it’s time to move from historical planning to real-time labor forecasting.
We use real-time forecasting for everything, including when surges are expected, how long trips will take, and even costs. Why can’t we do the same with labor? Demand is no longer seasonal; freight moves in surges driven by ecommerce, promotions, and social media, leaving hiring timelines lagging far behind the rush.
The lag behind the rush only increases as the readiness gap widens, onboarding becomes more complex, and new hires take longer to complete. This makes new hires in the industry feel overwhelmed as operations try to get them up to average work productivity.
The operational reality is that workflow continuity breaks down when teams constantly restart training cycles while logistics bottlenecks form earlier and last longer than historical averages can predict. The inability to properly predict leads to increased dwell time, which harms carrier relationships as shippers face rising accessorial costs.
When relationships begin to break down, carriers try to address the issue with additional services and expedited shipping, which cuts into operational costs. When logistics lacks trained and competent workers, customer satisfaction will be the first to drop, which will ripple through fulfillment to transportation.
Now, adding the combined pressures of hiring and having workers ready before the peak, along with the need to retain them, creates a tense labor storm across logistics, retail, and gig work, all competing for the same shrinking pool of workers.
Industry leaders need to transition away from last year’s model and get with the times, from seasonal hiring to continuous workforce planning. Take advantage of real-time forecasting and implement cross-training throughout their labor pool to flex across operational functions as demand fluctuates. While adjusting your model, consider retention strategies to ensure that when you hire someone, they stay and protect your training investments.
Speaking of investments, we are the most technical we have ever been, and that will hold as we rely more on automation and continue to evolve our technical capabilities. This needs to be reflected in your training as well, ensuring that your staff is ready not only to operate but also to maintain equipment, which means investing in your business to achieve technology-driven readiness, along with the training to support it.
Align your operations, HR, and training teams around shared labor signals, meaning that they use the same indicators to decide when to hire, how many, and for which roles. HR no longer hires based on outdated seasonal timelines; operations communicate real-time labor contractions, and forecasting provides early warnings.
Doing so means building a single, unified labor strategy rather than three disconnected ones. This ensures hiring happens when the operation actually needs it, not when the calendar says it’s ‘peak season.
Conclusion
Peak season is no longer predictable, and traditional hiring models cannot keep up with today’s rapid swings in demand. As technology advances and job requirements grow more complex, the readiness gap widens, and retention becomes the biggest challenge.
To stay competitive, leaders must shift to continuous workforce planning supported by real-time forecasting, cross‑training, and stronger retention strategies. When operations, HR, and forecasting use the same labor signals, hiring happens only when the work truly requires it. A trained and ready workforce is now the core of operational resilience.
