A 60-day peak season had historically required mandatory overtime and weekend coverage on the regular workforce. A flex-crew design absorbed the surge — and mandatory overtime dropped to zero through peak.
Distribution · Peak SeasonA regional distribution center serving a national retail customer faced a recurring 60-day peak season in which order volume rose roughly 75% above the year-round baseline. The historical response had been mandatory overtime across the core workforce, weekend pulls, and a stretch of voluntary turnover spikes that followed each peak. A flex-crew design built and integrated before the next peak absorbed the volume, eliminated mandatory overtime through the surge, and stabilized post-peak retention.
A regional distribution center supporting a national retail customer’s seasonal sales window. Operating on a two-shift, five-day schedule year-round, with Saturday coverage added during a 60-day fall peak. Core workforce of approximately 480 full-time associates across receiving, picking, packing, and shipping. The peak season required roughly 75% more order volume to move through the facility than the year-round baseline. Mixed union and non-union workforce, with the operational associates non-union and the maintenance crew under a separate craft agreement.
Each year, the peak window was managed through a combination of mandatory overtime on the core workforce, expanded Saturday coverage, and a limited seasonal hiring program that was typically launched too late to be fully productive before the surge began. The mandatory overtime in particular had become the focal point of leadership concern. Voluntary turnover spiked in the 90 days following each peak, exit interviews consistently cited mandatory overtime as a factor, and recruiting in the off-season had become measurably harder as word travelled in the regional labor market.
The cost of the peak-season approach extended beyond the overtime premiums themselves. Recruiting friction, sick-call rates during peak, voluntary turnover after peak, and safety-incident frequency under fatigue all carried real costs that were not on the peak-season budget line. Leadership wanted to know whether a fundamentally different staffing model could absorb the surge without those secondary costs — and whether the math worked out favorably compared with the status quo.
Phase 1 · Business Assessment
We mapped the actual peak-season demand curve in detail. Not the budget-level view of "75% above baseline," but the day-by-day, shift-by-shift, function-by-function view of where the volume actually went. Receiving and inbound staging saw the surge earlier than outbound shipping. Pick volume peaked in the middle of the window. Pack-out and shipping ran hottest in the final three weeks. The surge was not uniform — it had shape — and the existing staffing approach was treating it as uniform.
Three findings reshaped the engagement. First, the surge in receiving and inbound staging was largely predictable and could be staffed against a known schedule. Second, the pick-volume peak was the period in which mandatory overtime was most concentrated, but it was also the period in which seasonal workers could be most effectively deployed if their training had occurred earlier. Third, the cost of mandatory overtime on the core workforce, once secondary effects were included, was substantially higher than the cost of a properly designed flex crew — even before accounting for productivity differences. The math favored flex-crew design by a wider margin than leadership had assumed.
Mandatory overtime in peak season is rarely just an overtime cost. It’s also a turnover cost, a recruiting cost, a sick-call cost, and a safety cost — and most of those don’t show up on the peak-season budget line at all.
— Jim Dillingham, Senior Partner, Shiftwork Solutions LLC
Phase 2 · Workforce Assessment
We surveyed the core workforce on peak-season preferences: how mandatory overtime was experienced, what voluntary structures would be acceptable, and what role they wanted in mentoring or supervising a flex crew. We also engaged the regional seasonal labor market through structured interviews with prospective candidates and with two local staffing partners. The seasonal market had specific patterns: candidates wanted predictability about start dates and end dates, clarity about premium structure, and a meaningful path to full-time if they performed well. The core workforce wanted relief from mandatory overtime, but also wanted assurance that the flex crew would not erode regular-shift hours during the off-season. Both sides had legitimate interests and both could be addressed in the design.
Phase 3 · Solution Design
The redesigned approach created a dedicated 110-person flex crew, recruited in July and trained through August for the October-through-November peak window. The flex crew was organized into two cohorts working a 4-on, 3-off pattern that staggered to provide coverage every day through peak. A defined premium structure governed flex-crew compensation, including a peak-completion bonus tied to attendance through the full window. The core workforce continued on its year-round pattern, with voluntary overtime available but mandatory overtime eliminated as a peak-season tool. A small number of core workers were designated as flex-crew leads, providing on-the-floor mentorship and earning a lead-differential during peak. The demobilization plan included a clear conversion pathway: top-performing flex-crew members were offered first consideration for any full-time openings that arose in the following six months.
Phase 4 · Implementation Preparation and Rollout
The implementation manual covered three audiences. For leadership, it documented the staffing levels, premium structure, training milestones, and the metrics that would be tracked during peak. For the core workforce, it addressed the questions raised in the workforce assessment — particularly the assurance that the flex crew would not erode regular-shift hours in the off-season. For the flex crew itself, it provided the new-hire orientation framework, training schedule, and the conversion-pathway documentation. Hiring began in early July, training ran through August, and the flex crew was at full operating strength two weeks before the surge began.
Measured against the client’s stated objective:
| Metric | Prior Peak | Redesigned Peak |
|---|---|---|
| Mandatory overtime hours, core workforce | ~14,200 hours | 0 hours |
| Voluntary overtime hours, core workforce | ~3,800 hours | ~4,600 hours |
| Saturday coverage source | Core workforce mandatory | Flex crew scheduled |
| Post-peak voluntary turnover (90 days) | ~18% | ~7% |
| Order accuracy through peak | 97.2% | 98.1% |
| Flex-crew completion rate | N/A | 89% |
Core-workforce exit interviews in the post-peak window no longer cited mandatory overtime as a departure factor. The flex-crew completion bonus was paid to 89% of the seasonal hires, indicating that the design held the seasonal workforce through the full window rather than losing them mid-peak. Of the flex-crew members who completed the season, 23 were converted to full-time roles in the following six months through the conversion pathway, providing a recruiting channel that had not existed before. Safety-incident frequency during peak dropped by roughly 30% compared with the prior year, consistent with the reduction in fatigue load on the core workforce.
The Design Principle: Peak season is a staffing architecture problem, not an overtime problem. The instinct to extend the existing workforce’s hours during a surge is intuitive but expensive once secondary costs are accounted for. A purpose-built flex-crew design addresses the surge directly, leaves the core workforce intact, and produces a more durable operation through and after peak.
The pattern in this engagement repeats across distribution, e-commerce fulfillment, retail manufacturing, and other operations with predictable seasonal surges. The default tool is mandatory overtime because it is the lowest-friction option in the short term — the workforce is already trained, the systems are already in place, and the conversation with leadership is simple. But the secondary costs accumulate year over year, and at some point the operation hits a recruiting and retention threshold where the old approach stops working at any price.
A second pattern: the redesign requires runway. The flex-crew approach cannot be improvised in the four weeks before peak. The hiring, training, integration, and management framework all need to be in place well before the surge begins. Operations that attempt to launch a flex-crew design too late tend to get the worst of both worlds — the cost of seasonal hiring plus the productivity drop that comes from under-trained workers entering the operation during the busiest period of the year.
If your team is heading into another peak season with mandatory overtime as the planned coverage tool, the most useful first step is a clear-eyed look at the full cost of the current approach — including the post-peak turnover, the off-season recruiting friction, and the fatigue-related safety profile through peak. Those costs are almost always larger than the overtime line item suggests, and they make the math on flex-crew redesign more favorable than it appears on the surface.
Shiftwork Solutions LLC has guided hundreds of engagements across distribution, retail manufacturing, food production, and other operations with peak-season patterns over more than three decades. Visit shift-work.com to start a conversation.
