Peak readiness assessment
Score inventory, warehouse, shipping, returns and customer experience from 1 to 5
Turn low-scoring areas into specific actions
Take the Peak Season Assessment for a more structured readiness score and improvement plan
For the complete documentation index, see llms.txt.
Published: 2026-07-28
Written by Tara Hunt
Quick answer: To prepare for peak season shipping, start by stress testing your fulfilment operation, then remove manual decisions from receiving, putaway, picking, packing, shipping, tracking and returns. Set realistic delivery promises, build carrier backup rules, train temporary staff early, track daily fulfilment KPIs and communicate clearly with customers before delays turn into support tickets.
Peak season shipping has a way of finding the weak spots you hoped would hold. The carrier rule someone keeps in their head. The printer no one has a backup for. The packing bench that works fine until orders triple. The returns process that depends on one person being free to reply.
That is why this guide starts with readiness, not tips.
The big idea is simple: peak does not break warehouses. Manual decisions do.
Before you change systems, hire staff or add another carrier, do a quick readiness check.
Score each area from 1 to 5:
Inventory
Can your team trust stock levels, locations and fast-moving SKU data?
Warehouse
Can orders move through receiving, putaway, picking, packing and dispatch without constant judgement calls?
Shipping
Are carrier, service, packaging and international rules already set up?
Returns
Can customers start a return without waiting for someone to manually approve every step?
Customer experience
Do customers know what has happened, what happens next and when to expect delivery?
If you are scoring 4s and 5s, you are probably refining what already works. If you are scoring 1s and 2s, you are likely relying on people to remember too much when volume rises.
If you want a more structured view, the Peak Season Assessment does this for you. Answer a few questions and you will get a readiness score across the areas that usually create the most pressure during peak season shipping.
Customer expectations are rising, but the operational margin for error is shrinking.
Starshipit's Evolving Expectations 2026 report found 76.8% of retailers say customer expectations around delivery speed, cost and flexibility have increased over the past two years. The same report found 76.8% cite shipping costs as a top fulfilment challenge, while 56.5% say their cost to fulfil an order has increased in the past 12 months.
That matters during peak because higher volume makes small issues bigger. A manual carrier choice that feels manageable at 50 orders can slow the team at 500. A vague delivery promise can become hundreds of "Where is my order?" enquiries. A missing customs detail can turn international orders into avoidable exception work.
So, the question is not "Are we ready for more orders?" It is "What breaks first if volume triples?"
Peak season shipping is the planning, fulfilment and delivery work retailers need to handle high-volume shopping periods such as Black Friday, Cyber Monday, Christmas, Boxing Day, end-of-season sales and major promotional campaigns.
It includes:
Done well, peak season shipping helps retailers keep orders moving when demand spikes. Done poorly, it creates delays, support queues, avoidable costs, and disappointed customers.
Before you start planning this year's peak season shipping, look at what happened last time.
Ask your team:
This does not need to become a huge post-mortem. Even a 30-minute review with warehouse, eCommerce, customer service and operations teams can show you where to focus.
The most useful answers are usually specific. "Dispatch was slow" is too broad. "Orders with bundles sat in packing because the team had to check components manually" gives you something to fix.
Most retailers prepare for the plan. Fewer prepare for the messy version of the plan.
Run a simple peak stress test with your team and ask what would happen if:
For each scenario, write down the backup plan, owner and customer communication. If the answer is "someone will work it out on the day", that is a risk.
This is the most important exercise in the guide.
Walk through the whole fulfilment journey and mark every point where someone has to stop, think, ask, check, choose or re-enter information.
Every manual decision has a cost. Sometimes it is 30 seconds. Sometimes it is a wrong label, a mis-pick, a delayed dispatch or a customer support ticket.
This is where shipping and fulfilment automation can make peak season more manageable. Starshipit's Evolving Expectations 2026 report found 69.6% of retailers already use shipping automation software, and 60.9% have automated carrier selection. That is the direction of travel: fewer routine decisions handled by people, more handled by rules set by the business.
Retailers using Starshipit can automate label printing, carrier assignment, order routing, address validation, tracking notifications and customs documents. The benefit is not only speed. It also gives teams a more consistent way to operate when temporary staff join or order volume rises suddenly.
That was the kind of friction Luna Rae needed to solve. The jewellery brand had been using a warehouse management system (WMS)-based workflow, but the process was still slowing the team down on the floor. By moving to Starshipit's pick and pack app, Luna Rae created a faster, more guided workflow for fulfilment staff. The result was efficiency gains of up to 80%, with each staff member able to process 150% more orders, up to 180 fulfilled per day. The team also saved over $20,000 on technology costs and paper waste.
For peak season, the lesson is not "add more people and hope". It is to remove the friction that slows every picker, packer and label before volume rises.
Manual work feels small until you multiply it by peak volume.
Use a simple calculation:
Manual decision time: Orders per day x Number of peak days = Extra labour time
For example: 30 seconds x 500 orders per day x 35 peak days = 145 extra labour hours
That is just one manual decision. If your team manually chooses carriers, checks addresses, selects packaging, creates labels and replies to tracking questions, the hidden cost climbs quickly.
This is a useful way to decide what to automate first. Start with the repetitive decisions that happen on the highest number of orders.
Start with the dates that matter to your customers, not only the dates your marketing team cares about.
For most retailers, the peak season calendar should include:
Then work backwards from each delivery promise. If your site says customers can order by a certain date for Christmas delivery, your fulfilment team needs a clear dispatch deadline, carrier service rule and exception plan behind it.
Small retailers should keep the calendar simple and visible. A shared peak season operations calendar is better than a complicated plan no one uses.
Mid-sized retailers should add cut-offs by carrier, region and delivery service.
Large retailers should align cut-offs across stores, warehouses, customer service, marketing, eCommerce and logistics. The biggest risk at scale is not one team missing a date; it is each team working from a slightly different version of the promise.
Warehouse layout is one of the most practical peak season levers, and it is often ignored.
Walk the floor and ask:
Small layout changes can save seconds on every order. During peak, seconds matter.
For smaller retailers, this might be a simple re-slot of bestsellers before Black Friday. For larger teams, it might mean creating dedicated zones for fast movers, express orders, international orders, or high-risk products.
Temporary staff can help, but only if the work is easy to learn.
Before you hire, decide:
Keep the training practical. A new picker does not need the history of your fulfilment process. They need to know where to go, what to scan, what to do when something does not match, and who to ask when they are stuck.
Scan-led pick and pack workflows can help here because the system guides the work instead of relying on memory. That is especially useful when experienced staff are under pressure and new staff are still learning.
Delivery choice can help conversion, but only when the options are accurate and operationally achievable.
Australia Post data cited in Starshipit's Evolving Expectations 2026 report found 69% of shoppers expect delivery options at checkout. The same report notes 56.5% of customers expect delivery within 2-3 days, with 18.8% expecting next-day delivery.
That does not mean every retailer needs to offer every delivery option. It means customers want clarity before they buy.
During peak season, review:
Flat rates can be simple, but they can also hide cost changes. Live carrier rates can help retailers show real-time delivery options at checkout, using negotiated rates, flat rates, table rates or rules depending on the setup. For Shopify retailers, availability depends on plan and calculated rates access, so check the setup before promising it as part of a peak season plan.
The aim is not to offer the cheapest delivery. It is to offer delivery choices that customers understand and the operation can keep.
Peak season is not the time to rely on a single carrier without a backup plan.
Starshipit's Evolving Expectations 2026 report found only 10.1% of retailers rely on a single carrier, while 65.2% use two to three carrier partners. Multi-carrier shipping has become the norm, but having multiple carriers is not the same as using them strategically.
Before peak, review your carrier logic:
A strong multi-carrier strategy uses rules based on weight, destination, delivery promise, service level and cost. It also includes fallback rules, so the team is not manually rerouting orders during a carrier disruption.
Hello Molly had the kind of fulfilment challenge many growing fashion retailers recognise: order volume was rising, shipping decisions were getting more complex, and the team needed a way to route orders without adding unnecessary manual work. By using shipping automation and multi-carrier routing by weight and destination, Hello Molly reduced dispatch headcount by 15-20%. The important part is the mechanism: carrier choice became a rule the business could control, not a decision the warehouse had to remake order by order.
Meshki faced a related problem at a larger international scale. As the brand expanded, disconnected systems and multiple carrier accounts could have made fulfilment harder to manage. Instead, automated shipping workflows helped the team save thousands of hours and dollars in fulfilment time while supporting multiple carriers and international services.
The takeaway is simple: carrier flexibility is only valuable if the decision logic is built before the pressure hits.
International shipping can be a strong growth path during peak season, but it brings extra variables: customs data, duties and taxes, carrier rules, destination restrictions and delivery expectations by market.
Starshipit's Evolving Expectations 2026 report found more than 80% of retailers ship internationally. It also found 65.2% cite international shipping costs as a top challenge, and 47.8% identify customs compliance as a key challenge.
Before peak, check:
Retailers expanding internationally should avoid treating cross-border shipping as a larger version of domestic delivery. It needs its own rules and data quality checks.
Meshki is a good story to bring in here because the problem was not simply "how do we ship overseas?" The brand was growing quickly, expanding into new markets and managing the operational load that comes with international demand. That meant carrier choice, duties and taxes, customs data and fulfilment workflows all had to work together.
By automating key parts of its international shipping process, Meshki simplified duties and taxes and supported expansion to 150+ countries. Within one year of launching in the US, that market became 40% of sales. The point for peak season is clear: cross-border growth works best when the operational model is ready before demand arrives.
Peak season customers do not only want their order quickly. They want to know what is happening.
When tracking updates are unclear, late or generic, support teams feel the pressure. Customers ask where their order is, whether it has shipped, whether it will arrive before a deadline and what happens if it does not.
Set up tracking communication before the rush:
The post-purchase experience should not feel like an afterthought. Starshipit's Evolving Expectations 2026 report found 66.6% of retailers rate post-purchase branding as highly important. Branded tracking pages and automated email or SMS notifications can keep customers informed while reducing repetitive support work.
For small retailers, start with clear dispatch and delivery notifications.
For mid-sized retailers, customise messages by delivery stage and shipping method.
For enterprise retailers, use tracking data to spot carrier issues, regional delays and customer experience gaps before they become bigger problems.
Peak season does not end when the last parcel leaves the warehouse. Returns often arrive after the campaign, when teams are already tired and customer expectations are high.
Starshipit's Evolving Expectations 2026 report found 47.8% of retailers offer self-service returns, while 42% still rely on manual returns processes. That gap matters during high-volume sales periods because manual returns create avoidable admin at the exact moment teams need clarity.
Before peak, decide:
A self-service branded returns portal can help customers generate return labels without waiting for support. It also gives retailers a more consistent process for managing returns after the peak season rush.
Good returns do not remove the cost of returns. They reduce confusion, manual admin and customer frustration.
You cannot fix what you cannot see.
During peak, review a short set of fulfilment KPIs every day:
Do not track everything for the sake of it. Pick the numbers that show where work is stuck.
If orders waiting to pick are climbing, look at layout, staffing or inventory accuracy. If orders are packed but not dispatched, look at carrier cut-offs, label printing or pickup capacity. If "Where is my order?" tickets are rising, look at delivery promises and tracking communication.
AI can help during peak, but only when it is pointed at a real operational problem.
Starshipit's Evolving Expectations 2026 report found 76.8% of retailers use AI in some capacity, but only 29% have embedded AI across operations or multiple processes. That gap matters. AI is useful when it helps teams make faster decisions, not when it adds another dashboard no one has time to check.
Practical peak season use cases include:
The rule of thumb: start with one decision you need to make faster. Then ask whether AI can help you see the pattern earlier.
Retailers often like benchmarking because it makes the next step clearer. Use this simple maturity model.
| Level | What it looks like | What to focus on next |
|---|---|---|
| Level 1: Manual | Labels, carrier choices, packing decisions and customer updates rely on people remembering what to do | Document the workflow and remove the most repeated manual decisions |
| Level 2: Growing | Some rules and tools are in place, but exceptions still slow the team down | Standardise carrier, packing, tracking and returns processes |
| Level 3: Automated | Routine shipping decisions are automated and the team mainly handles exceptions | Add stress tests, daily KPIs and carrier fallback plans |
| Level 4: Peak ready | Fulfilment, shipping, tracking and returns are visible, tested and repeatable across teams | Keep improving with post-peak reviews, reporting and workflow optimisation |
No one needs to jump from Level 1 to Level 4 in one season. The goal is to remove the next most expensive bottleneck before peak starts.
Some peak season advice sounds sensible until the warehouse is under pressure.
Myth 1: More warehouse staff fixes everything.
More people help only if the workflow is clear. If the process is messy, extra staff can create more questions, more training pressure and more mistakes.
Myth 2: More carriers always means better shipping.
More carriers can help, but only if the rules are clear. Without decision logic, a bigger carrier mix can create more admin.
Myth 3: Faster shipping solves customer complaints.
Speed matters, but communication matters too. Customers are more likely to stay calm when they know what has happened and what happens next.
Myth 4: Same-day dispatch is always necessary.
Same-day dispatch is useful only if it is profitable, realistic and clearly communicated. A promise you cannot keep can hurt trust faster than a slower promise you deliver on.
Every retailer needs to prepare for peak season shipping, but the priorities change with size and complexity.
Small retailers should prioritise repeatability. Focus on automating labels, setting clear carrier rules, defining shipping cut-offs and creating a simple returns process. The goal is to stop fulfilment work from depending on one person's memory.
Medium-sized retailers should prioritise control. Review carrier mix, warehouse workflows, live rates, branded tracking and returns. The goal is to scale order volume without scaling manual admin at the same rate.
Enterprise retailers should prioritise resilience. Align multiple warehouses, stores, brands, carriers and markets around one set of operational rules. The goal is to absorb demand spikes, carrier disruptions and international complexity without constant firefighting.
RUBY is a good example of what this looks like for a retailer with stores. The fashion retailer had an opportunity to use store stock more effectively, rather than relying only on a central fulfilment flow. By implementing an optimised ship-from-store strategy across 8 physical stores, RUBY could fulfil online orders faster and make better use of inventory already sitting closer to customers.
At enterprise scale, Lorna Jane faced a different version of the same control problem: teams working across multiple global distribution centres need visibility, consistency and a shared way of managing orders. Using Starshipit gave the team one platform to manage shipping across locations, making training easier and giving the business better order visibility.
Use this checklist 6-8 weeks before your busiest sales period.
Score inventory, warehouse, shipping, returns and customer experience from 1 to 5
Turn low-scoring areas into specific actions
Take the Peak Season Assessment for a more structured readiness score and improvement plan
List what broke, slowed down or surprised the team last peak
Review customer complaints, carrier issues and delayed dispatch patterns
Identify the one bottleneck most worth fixing first
Test what happens if order volume triples
Write a backup plan for staff absence, carrier delays, printer issues and platform outages
Confirm who owns each exception
Confirm campaign dates, shipping cut-offs and carrier deadlines
Share the peak calendar across marketing, ecommerce, warehouse, support and logistics
Build a staffing plan for dispatch, support and returns
Walk through receiving, putaway, picking, packing, shipping, tracking and returns
Mark every step where someone has to stop and choose what happens next
Automate, document or assign ownership for each repeated decision
Move fast-moving SKUs into easy-to-reach locations
Check printer, packing station and packing material placement
Clear walking paths and create dedicated zones where useful
Review delivery options by region and service
Check free shipping thresholds against current fulfilment costs
Make sure delivery timeframes are realistic during peak
Remove or restrict options the team cannot consistently fulfil
Set carrier rules by weight, destination, service level and cost
Create fallback rules for disruptions or capacity issues
Automate label printing where possible
Check address validation and exception workflows
Re-slot fast-moving SKUs
Prepare packing materials before campaigns launch
Train temporary staff on the exact pick, pack and ship workflow
Use barcode validation for high-risk items
Define an exception process for out-of-stock or damaged goods
Check product weights, dimensions, HS codes and customs descriptions
Review duties and taxes handling
Confirm international delivery estimates and carrier rules
Prepare a cross-border returns process
Update tracking notifications
Prepare delay and exception message templates
Make returns instructions easy to find
Monitor "Where is my order?" enquiries during the campaign
Track orders waiting to pick, orders waiting to pack and late dispatch percentage
Monitor inventory accuracy, carrier failures and "Where is my order?" (WISMO) tickets
Review the numbers daily while there is still time to act
A peak readiness assessment is a short operational check across inventory, warehouse, shipping, returns and customer experience. It helps retailers see which parts of their fulfilment operation are ready for peak season shipping and which parts still rely too heavily on manual work.
Retailers should start preparing peak season shipping 6-8 weeks before major sales periods. Larger or multi-location retailers may need 3 months or more to test carrier rules, warehouse workflows, staffing plans, international settings and returns processes.
The most important task is removing routine manual decisions before order volume rises. Carrier selection, order routing, label printing, address validation, tracking updates and returns should follow clear rules so teams can focus on exceptions.
Stress test peak season fulfilment by asking what happens if order volume triples, a carrier has delays, a picker calls in sick, inventory is wrong, a printer fails or your ecommerce platform has an outage. For each scenario, define the backup process, owner and customer communication.
Retailers can reduce peak season shipping costs by reviewing free shipping thresholds, using multiple carriers, setting carrier rules by weight and destination, showing accurate delivery options at checkout, reducing fulfilment errors and preventing expensive re-deliveries or expedited fixes.
Free shipping can support conversion, but it should be tied to margin. Retailers should test free shipping thresholds, exclude services that are too expensive to subsidise and use live or rule-based rates where needed to avoid undercharging.
Multi-carrier shipping gives retailers more flexibility when costs, service levels or capacity change. It works best when carrier selection is automated using rules for destination, weight, delivery promise, service level and fallback options.
Small retailers should focus on simple, repeatable workflows: clear shipping cut-offs, automated labels, a documented pick-and-pack process, enough packing materials, delivery notifications and a returns process customers can understand without contacting support.
Enterprise retailers should focus on resilience across locations, systems and teams. That means aligning warehouse, store, carrier, ecommerce and support workflows, using automated routing rules, monitoring exceptions and making sure delivery promises are consistent across every channel.
Peak season shipping rewards retailers who prepare the operational details early. The strongest teams do not wait for volume to rise before fixing carrier rules, warehouse workflows, checkout promises or returns.
They ask the awkward questions early. What broke last year? What happens if orders triple? Where are people still making the same decisions by hand? Which KPI tells us the day is going off track?
Then they decide what should happen before the rush. If you want a quick way to find your highest-priority gaps, take the Peak Season Assessment and use your results as a starting point.
Starshipit helps retailers automate shipping and fulfilment, manage multiple carriers, print labels, send tracking notifications, support returns and keep orders moving from one platform. If you are preparing for peak season shipping, start a 30-day free trial or book a demo to see where automation can remove manual work before your busiest weeks begin.