In 2025, the way people shop online is evolving fast, and it's no longer just about products or price. Delivery experience has become a major deal-maker in e-commerce. From how fast packages arrive to how reliably they're tracked, shipping performance now drives everything from search visibility to actual conversion rates.

Furthermore, AI-powered commerce is leading the charge, giving retailers tools to analyze transit data and respond faster to delivery challenges. But smooth delivery still faces roadblocks, especially with tariffs continuing to disrupt cross-border movement, particularly between the United States and Latin America. Rising costs and slower fulfillment due to tariff escalations mean smart logistics planning is more important than ever. 

With e-commerce booming across the Americas, projected to hit $1.58 trillion by the end of 2025, $2.18 trillion by 2029, and 785 million online shoppers by 2029, the pressure is on. In another of our delivery performance series, we will examine Q2 2025 logistics performance across the Americas, highlighting transit times, on-time delivery rates, and emerging carrier issues. For retailers, logistics providers, and investors, understanding what drives delivery success or failure is key to staying competitive in the age of AI commerce.

Americas Transit Times in Q2 2025: A Step Backward?

Transit time is one of the most important parts of the delivery experience. It's not just about speed, it's about setting expectations, building trust, and keeping customers happy. In today's AI-powered shopping world, even a small delay can push a brand out of the spotlight, affecting both visibility and conversions.

Unfortunately, transit times across the Americas slowed in Q2 2025, rising to 2.85 days, up from 2.52 days in Q1 2025 — a 13% increase. This is the second-highest figure since Q3 2024, and it's happening outside of traditional peak seasons. Several factors might have contributed to this slowdown, including:

• Tariffs continuing to disrupt cross-border movement, especially between the U.S., Canada, and Mexico, causing customs delays and confusion over compliance. 

• The elimination of the de minimis exemption for Chinese goods, meaning millions of low-value shipments had to go through full customs processing. This likely overwhelmed U.S. customs and led to warehouse backlogs.

• Worsening port congestion at key hubs like Los Angeles and Manzanillo, with carriers facing vessel traffic jams and blank sailings.

• Labor disruptions and strikes in South American ports like Rio Grande and Navegantes, as well as the residual effects from Canada's postal strike, added further strain to delivery schedules.

Delivery Insights, Carrier Issues, & Recipient Behavior from Q2 2025: What's Working Well?

Despite broader delays in transit times across the Americas, several components of the parcel journey showed real improvement during Q2 2025. From fewer carrier mishaps to smarter recipient choices and a surge in collection point usage, the data paints a promising picture of how delivery dynamics are evolving.

Carrier Issues Declined to 3.67%

Carrier-related problems dropped sharply, from 6.87% in Q1 2025 to just 3.67% in Q2 2025. This was largely due to logistics companies like FedEx and UPS revamping their networks to make parcel movement more efficient. Customs processes also began to stabilize following the disruptive tariff changes in March, and earlier labor disruptions in places like Canada were resolved. These efforts collectively helped carriers maintain steadier operations and cut down on delays.

Recipient Behavior Showed Positive Change

Issues caused by recipients also declined, settling at 1.88% in Q2 2025, compared to 2.36% in the previous quarter. The increase in tracking technology adoption played a key role here. More recipients were able to monitor or track their parcels in real time and adjust delivery preferences proactively. With fewer shipments compared to holiday season peaks, the margin for error is reduced, leading to smoother last-mile outcomes.

Collection Point Usage Surged to 53.13%

One of the most significant shifts was the jump in collection point usage, from 44% in Q1 2025 to 53.13% in Q2 2025. As delivery uncertainty grew, more consumers opted for secure pick-up locations like lockers and retail counters. This move wasn't just about convenience, it was also a way to avoid missed deliveries and protect against theft. With carriers expanding their collection point networks and urban congestion making home delivery less predictable, the preference for self-collection became a logical and popular choice.

These improvements may seem minor on the surface, but they carry weight in today's AI-driven commerce environment. Small delivery hiccups or overpromises can hurt a brand's ranking in algorithmic product recommendations, reducing visibility and ultimately conversion potential. Businesses and logistics providers that optimize performance and give consumers better control over their deliveries will likely find themselves rising in the ranks.

On-Time Ratio Holds Steady

Despite longer transit times and shipping challenges, delivery reliability across the Americas held strong in Q2 2025. The on-time ratio nudged up to 98.25%, improving slightly from 97.72% in Q1 2025. That's no small feat, especially with tariffs, labor disruptions, and port congestion in play. 

Carriers stepped up their game by refining routes, streamlining operations, and benefiting from calmer weather conditions. South American ports also showed scheduling improvements, despite lingering staffing issues.

For AI Commerce, consistency is everything. A dependable delivery record means brands stay visible and trusted on digital shelves. Late shipments can damage credibility and hurt recommendations, so maintaining a high on-time ratio isn't just good logistics experience, it's smart business.

Why This Matters for AI Commerce

With most consumers moving towards AI commerce, delivery performance is now a vital factor in how brands show up online. AI-powered shopping platforms now use delivery data to decide which products get recommended and which ones get filtered out. That means if your brand consistently delivers on time and gets it right the first time, you're more likely to appear in search results and product suggestions.

However, when transit times increase or issue ratios climb, it signals risk. AI agents pick up on these patterns and may lower your visibility, even if your product or pricing is strong. In short, delivery isn't just about logistics anymore, it's about staying in the recommendation loop and winning the customer's click. That's why retailers need more than just tracking tools. They need AI Decision Intelligence to turn delivery data into smart, automated actions that protect visibility, boost performance, and keep them ahead in AI-driven marketplaces.

How AI Decision Intelligence Helps Retailers Win

Furthermore, AI Decision Intelligence transforms overwhelming logistics data into clear, automated decisions that help retailers stay ahead, without the manual grind. It's like having a team of 20 analysts working around the clock, spotting issues, surfacing insights, and recommending the smartest next steps. From checkout to returns, it gives retailers the power to act fast, save costs, and deliver better experiences.

Predict Delivery Risks Early 

AI monitors billions of parcel updates across 1,100+ carriers and 160+ countries. It flags disruptions before they affect customers. With this, retailers and logistics carriers can reroute shipments, avoid delays, and protect brand trust.

Quote Accurate ETAs at Checkout 

Using AI-powered Estimated Delivery Dates (EDD) and tailored A/B testing, retailers and logistics providers can show precise delivery times at checkout. That means fewer "Where is my order?" calls and more confident conversions.

Spot Carrier Underperformance Instantly 

With customizable performance alerts and root cause analysis, retailers can detect when a shipping carrier starts slipping. AI highlights the issue and recommends actions. This way, teams can respond before it impacts customer satisfaction.

Move from Reactive Firefighting to Proactive Control 

Instead of chasing problems, retailers get daily AI summaries, smart recommendations, and out-of-the-box BI dashboards. That means faster decisions, fewer surprises, and more time for strategic priorities.

Final Thoughts – Delivery Isn't Just Logistics, It's a Brand Strategy

In conclusion, our review of Q2 2025 ecommerce logistics performance metrics in the Americas indicates that delivery remains the defining factor between brands that grow and those that stall. While major urban markets showed gains in speed and reliability, missed first attempts and rising issue ratios in suburban and rural areas continued to undermine customer trust.

What's more, retailers that leaned into smarter data and faster decision-making, especially those using AI Decision Intelligence, found ways to stay ahead. By quoting more accurate ETAs, flagging disruptions early, and solving issues proactively, these retailers and logistics providers turned delivery into a competitive edge rather than a cost center.

In an AI Commerce world where relevance hinges on reliability, late arrivals don't just hurt margins, they bury visibility. Want to safeguard your brand's reputation and consistently deliver outstanding customer experience? Book a demo with Parcel Perform and discover how AI Decision Intelligence empowers your team to act faster, deliver smarter, and win where it matters most.

FAQs – AI Commerce, Delivery Metrics, and Winning Strategies

Q1: What was the average delivery time in the Americas for Q2 2025? 

In Q2 2025, the average transit time in the Americas was 2.85 days, slightly slower than 2.52 days in Q1. While still below the quoted time of 4.31 days, this small delay shows that companies need to act fast to keep things smooth and speedy.

Q2: What role does accurate ETA prediction play in AI Commerce?

Accurate Estimated Delivery Dates (EDDs) boost checkout conversion rates and AI visibility rankings. When shoppers know exactly when their order will arrive, they're more likely to complete the purchase. If brands promise quick delivery and miss the mark, customers lose trust—and sales can take a hit.

Q3: Why is first-attempt delivery success critical for e-commerce brands?

First-attempt success impacts customer experience and AI recommendation engines. Getting it right the first time saves time, money, and customer complaints. Missed deliveries mean delays, extra costs, and frustrated shoppers, and that can hurt how well a brand is seen online.

Q4: What happens if retailers ignore AI-driven delivery optimization?

Retailers risk lower rankings in AI-powered shopping platforms, leading to decreased visibility and sales. In an AI Commerce world, delivery speed and reliability directly impact growth. Poor delivery experiences can lead to bad reviews, fewer repeat buyers, and lower visibility in crowded online marketplaces. In short, if your deliveries aren't sharp, your brand won't stand out.