Peak season exposes last-mile issues when consumer expectations are high and their tolerance for delivery delays is low.
The smaller delivery mistakes and inconsistencies, like missing address information, ignored delivery instructions, or a slipped delivery window, that are manageable during slower periods can lead to more delays, complaints, and higher operating costs when volumes surge. Left unchecked, these minor issues can erode customer satisfaction and trust.
As peak season unfolds, brands still have time to identify where their last-mile operations face the most pressure. The window for proactive preparation has narrowed, but there’s still time to address weaknesses before they affect the busiest weeks of the season.
Here’s how brands can test their last-mile networks to uncover high-impact improvements:
Test No. 1: Exceptions Management
No last-mile network operates without unexpected events. At low volume, delays, address corrections, failed scans, customs holds, and damaged labels are easily corrected. But during peak, these can quickly overwhelm operations.
Alongside sandbox testing, brands can use live data from their current peak volumes to identify where sortation, routing, or exception handling is strained. The goal is to determine how quickly issues can be detected, escalated, and resolved. Brands can also work with last-mile partners to prepare a response plan covering how to reroute orders, communicate delays, and manage customer expectations. This prevents small issues from becoming broader network disruptions.
Test No. 2: Cost Control
During peak, a missed delivery can trigger a chain reaction of costs, including higher customer service workloads, more returns, refunds, replacement shipments, and expedited shipping.
Even a small cost-per-order increase can erode profits during high-volume periods. It’s why brands need to stress-test their profitability by simulating how heightened shipping costs, failed deliveries, labor constraints, and returns affect margins at scale. Brands can also test whether regional inventory placement and carrier diversification can reduce transportation costs. By modeling different strategies, they can identify where costs are likely to rise under pressure.
A profitable peak often comes down to how well brands control costs when operations are strained. Working with last-mile partners to review cost thresholds and activate a backup plan can help contain costs and keep affordable delivery options available as demand spikes.
Test No. 3: Visibility
Visibility gets harder to maintain as volume increases. During peak, brands don’t just need to know where packages are; they need to know that their systems can deliver accurate, real-time updates when issues inevitably arise.
They can find out by simulating failed delivery attempts and network congestion. These tests can reveal how quickly issues are flagged and resolved. Without this visibility, brands often fall into reactive customer service mode, instead of proactively intervening to prevent issues from spreading. These tests can also help brands see how quickly shoppers are notified of delays, whether estimated delivery dates remain accurate as conditions change, whether support teams have immediate access to accurate shipment data, and how well last-mile partners adapt while providing real-time visibility throughout the delivery process.
Peak Testing Reveals What a Last-Mile Network Can’t Hide
Brands that get ahead of potential peak season issues will be better positioned to protect the shopper experience, keep costs in check, and maintain delivery performance. Those who stress-test their last-mile delivery networks before and during peak will gain a clearer understanding of where operations remain resilient and where their customer experience is most at risk.
Sheila Berry is Chief Revenue Officer at UniUni, a leading last-mile delivery company.
