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Published: 2026-08-04
Written by Abi Bennett
Summary: Peak warehouse operations work best when staffing, processes, carriers and systems are planned together before demand rises. Define clear tasks and performance standards, protect experienced leaders from routine decisions, build carrier resilience and test technology early so casual teams can contribute without increasing errors, congestion or customer support pressure.
Peak warehouse operations often get framed as a staffing problem.
More orders are coming in, so the answer seems obvious: add more casual staff, add more packing benches, add more carrier collections and move faster.
But more people do not always create more capacity. In a busy warehouse, new starters can also create more questions, more rework, more congestion and more pressure on experienced team members if the process is not ready for them.
At NORA’s Retail Operations Leaders’ Velocity Summit 2026, we sat down with 3 leading retail operations experts to discuss what peak readiness looks like inside busy retail operations:
Their examples showed that peak readiness is not built in one team. It depends on marketing, technology, customer experience, warehouse operations and carrier partners working from the same plan.
Customers do not see warehouse errors as warehouse errors.
If they receive the wrong size, wait too long for delivery or get poor updates, customers usually associate that experience with the brand rather than the warehouse. MESHKI shared this plainly. A fulfilment mistake may start in the warehouse, but the customer experience lands with customer care, social media, review sites and the wider brand.
That matters during peak because the margin for recovery gets smaller. Support queues are fuller. Carrier networks are busier. Casual teams are still learning. Customers are buying gifts, sale items or time-sensitive products and are less patient when something goes wrong.
For operations leaders, this means internal efficiency metrics are not enough. Orders picked per hour, labour cost per order and dispatch volume still matter, but they need to sit beside customer-facing measures such as:
Culture Kings shared a useful shift in thinking: marketing may drive acquisition, but operations and customer experience play a major role in retention. A strong campaign can bring customers in. Fulfilment decides whether they trust the brand enough to come back.
Casual warehouse staff are essential for many retailers during peak. But adding people to a weak process can make the operation slower.
New starters need to know exactly which job they are doing and how success is measured in that role. A picker needs clear SKU, size and quantity checks. A packer needs packaging standards, label checks and dispatch staging rules. Replenishment teams need to know which locations take priority. Returns teams need clear guidance on what can be processed, quarantined or escalated. Without that detail, experienced team members get pulled away from the floor to answer the same questions, check avoidable errors and keep work moving.
Before adding casual staff, ask:
This is where peak workforce planning becomes operational design. You are filling roster gaps and deciding how work will move through the warehouse when the team is larger, less experienced and under more pressure.
Muscle Republic shared a model supported by a small full-time management team and a predominantly casual workforce. That kind of structure depends on trust, culture and clarity.
One practical lesson stood out: casual staff should feel like part of the team, not a separate class of labour.
This means avoiding a two-tier culture where permanent employees get context, respect and feedback while casual staff are treated as replaceable hands.
If you want casual staff to take ownership during peak, give them the conditions to do good work:
The panel also spoke about the value of making busy periods feel rewarding, not just demanding. Food trucks, DJs, team incentives and small recognition moments can help keep energy up during long peak shifts.
Muscle Republic also spoke about hiring for culture and attitude, then training for performance. That is useful during peak because technical skills can often be taught faster than reliability, care and team fit.
For retailers that use casual labour every year, the long-term goal should be a returning pool of trained people. Returning casuals need less onboarding, know the pace of the warehouse and can help steady the shift for newer staff.
Track the basics after each peak:
That turns casual workforce planning from a yearly scramble into a reusable labour strategy.
Speed alone is a poor measure of warehouse performance.
A picker who moves fast but creates errors can increase support costs. A packer who hits target but ignores checks can damage the delivery experience. A casual team member who performs well when present but cancels often can still create a planning problem.
Muscle Republic described a simple performance frame across culture, productivity and reliability. Retailers can adapt the same idea for their own warehouse.
Before peak, define:
This gives team leaders a better way to coach. It also stops performance conversations from becoming vague.
Instead of saying “you need to be better,” a leader can say:
Clear standards make feedback fairer and more useful.
Accountability works best when people know the standard before they are measured against it.
Muscle Republic discussed using a reliability framework during onboarding so team members understand how behaviours such as cancelling shifts, leaving early or breaking warehouse rules affect future shift allocation.
The important part is transparency. A reliability framework should not be a hidden punishment system. It should explain how individual choices affect the wider operation, then give people a chance to correct patterns early.
Use this carefully. Employment rules differ by country, contract type and business situation. HR, legal or People and Culture should review any policy before it is used.
As an operational principle, the best practice is simple:
Peak is stressful enough without unclear rules. People perform better when the expectations are visible.
Experienced warehouse leaders are the anchors during peak.
They hold the process knowledge. They know which exceptions matter. They can see when a shift is drifting before the dashboard catches up.
But those leaders can become a bottleneck if every decision depends on them.
Before peak, map the questions that usually interrupt supervisors:
Then decide which questions can be removed through better process design, clearer signage, better system rules or task-specific training.
Your goal is not to remove judgement completely. It is to protect experienced judgement for the moments that need it.
A casual worker does not need to understand the full logistics strategy on day 1.
They need to understand the task in front of them.
Strong warehouse onboarding shows:
This is where standard operating procedures become practical. They should not be long documents that sit unread in a shared drive. They should be short, visible and tied to the work.
For example:
The less work depends on memory or tribal knowledge, the faster new starters can help without adding risk.
One of the strongest lessons from Culture Kings was that operations cannot be brought in after the campaign is already live.
Culture Kings shared how a major promotion reinforced the importance of aligning marketing, technology, customer experience and operations before launch. The issue was bigger than high demand. It was the combination of demand, inventory, systems, fulfilment capacity and customer expectations moving out of sync.
That is the risk with major campaigns. Marketing sees demand. Technology sees site and system load. Operations sees warehouse capacity. Customer experience sees the support impact. Finance sees margin. The customer sees one brand.
Before a campaign launches, align on:
Do not make fulfilment promises in isolation. If the warehouse, carriers or support team cannot sustain the promise, the campaign may create short-term revenue at the cost of repeat purchase.
Peak creates pressure outside the warehouse too.
Carrier capacity, collection times, depot congestion, weather events, network outages and service delays can all affect the customer experience. A team can pick and pack well and still miss the delivery promise if the carrier plan is too fragile.
A single-carrier model can be simple. For some retailers, it may still be the right commercial choice. But it can also create risk if one network has a service issue or cannot support peak volume.
Before peak, review:
Multi-carrier planning gives retailers more control when conditions change. It can also help balance cost, speed and service level, especially when order profiles vary by destination, size, value or delivery promise.
Technology helps most when the process is already clear.
MESHKI made this point when discussing AI and systems: without strong foundations, quality data and the right processes, technology will not work properly. Culture Kings made a similar point about technology without process discipline.
That is the right lens for peak warehouse operations. Automation should not digitise a messy process. It should make the right process easier to follow.
In fulfilment and shipping, that can mean:
Starshipit can support these workflows by helping retailers manage orders, carriers, rules, labels, tracking notifications and returns from one shipping automation platform. Used well, this can reduce repetitive decisions for frontline teams and give new starters a clearer process to follow.
The key phrase is “used well”. Technology should support clear roles, good data and strong operating standards. It is not a replacement for them.
Use this checklist in a pre-peak operations meeting.
Confirm casual staffing needs by shift rather than by total headcount alone.
Set supervisor-to-new-starter ratios.
Identify tasks suitable for new casual staff.
Prepare induction, training and feedback plans.
Build a list of returning casual staff where possible.
Confirm HR or legal review for any reliability or performance framework.
Document the highest-volume tasks in short, practical steps.
Define mandatory checks for picking, packing and dispatch.
Map escalation paths for exceptions.
Test bottlenecks before peak volume arrives.
Remove repeated supervisor questions where possible.
Share forecasts with carrier partners.
Confirm collection windows and extra collection options.
Define backup carriers or service options.
Check cut-off times by region and service.
Decide who monitors carrier performance daily.
Test order import, label printing, scanning and notifications.
Set up users and permissions before peak.
Review shipping rules and carrier logic.
Check printer, scanner, workstation and Wi-Fi reliability.
Avoid major untested system changes close to peak.
Align dispatch promises with real capacity.
Prepare delay and exception messages.
Monitor wrong item, delivery delay and support contact rates.
Give customer support visibility of fulfilment and carrier issues.
Review returns workflows before volumes rise.
Bring marketing, operations, technology, customer experience and finance into campaign planning.
Confirm inventory availability before promotions.
Agree what happens if demand exceeds forecast.
Define who can pause, extend or adjust a campaign if fulfilment risk rises.
Peak warehouse operations succeed before the first surge in orders.
The best retailers do not rely on extra labour alone. They build a warehouse culture people want to join, define performance clearly, protect experienced leaders, standardise routine work, plan carrier resilience and make sure every campaign promise can be fulfilled.
Casual staff can be a major advantage during peak. But they need clear work, capable leaders and systems that remove unnecessary decisions.
If your team is preparing for peak, start with the questions that expose operational risk: What will break first? Who will notice? What decision can we remove before the shift starts? Which customer promise depends on another team being ready?
Starshipit is a main sponsor of NORA’s Operational Leaders community because we believe the future of retail will be shaped by the teams behind the customer experience: the operations, warehouse, logistics and fulfilment leaders who keep promises moving.
By supporting this community, we want to help surface the practical lessons, honest conversations and shared experience that make retail operations stronger. Peak readiness is one part of that bigger story.
Join the NORA Operational Leaders community here.
Retailers prepare for peak by forecasting order volume, planning staffing by shift, standardising warehouse tasks, testing systems, confirming carrier capacity, aligning campaign promises and preparing customer support for higher demand.
There is no universal number. The right number depends on order volume, task complexity, supervisor capacity, training time, warehouse layout, carrier cut-offs and the experience level of the casual team. Retailers should plan by productive capacity, not headcount alone.
Adding casual staff can slow a warehouse down when processes are unclear, training is rushed or experienced staff spend too much time answering questions. New starters need clear roles, visible standards, simple escalation paths and enough supervisor support.
Useful peak KPIs include orders shipped before cut-off, picking accuracy, packing accuracy, orders picked per hour, labour cost per order, wrong item rate, lost-in-transit rate, support contact rate, carrier service performance and delivery promise accuracy.
Retailers can improve onboarding by breaking tasks into simple steps, showing what good looks like, explaining mandatory checks, assigning a clear support contact, using barcode scanning where useful and giving feedback early.
Operations should be involved before launch because campaign demand affects inventory, warehouse staffing, dispatch promises, carrier capacity and customer support. If these teams are not aligned, a strong campaign can create oversold stock, delays and support pressure.
Multi-carrier shipping can give retailers more options when one carrier is delayed, at capacity or not suited to a specific order. It can help balance cost, speed, service level and contingency planning during high-volume periods.
Shipping automation should remove repetitive decisions, reduce manual errors and make the agreed process easier to follow. It can help with carrier selection, label printing, address validation, tracking notifications and returns, but it works best when the underlying process and data are strong.
Abi Bennett
