The Brands Winning Peak Season Are Faster, Smarter and More Resilient Thanks to AI-Powered Logistics

Peak season already pushes supply chains to their limits, but heightened consumer demands and disruptions are making today’s e-commerce landscape even more of a challenge.

To remain competitive, brands are turning to artificial intelligence-powered logistics providers to ensure packages are delivered with speed, transparency and accuracy. Leveraging key brand data to learn and adapt in real time, these providers can better anticipate demand surges, navigate disruptions, optimize delivery routes, and even turn customer feedback into immediate internal action.

There are measurable benefits, too. According to McKinsey & Company, AI-backed distribution networks are reducing inventory by 20 percent to 30 percent with improved demand forecasting, unlocking up to 15 percent of additional warehouse capacity, and helping save users some 5 percent to 20 percent in logistics costs.

AI is transforming last-mile logistics into a proactive function, right when sales and stakes are highest.

Smarter Forecasting Prevents Stockouts and Lost Sales

Accurate demand forecasting creates efficiencies across the entire supply chain. AI-powered analytics help brands anticipate demand, manage inventory, and allocate resources more efficiently.

With more precise forecasts, brands can minimize out-of-stock situations; avoid costly markdowns; and ensure their stock, staff and delivery vehicles are where they’re needed to meet customer demands, especially during peak season.

Real-Time Response Prevents Delays and Cancellations

AI is powering smarter, more situationally aware last-mile operations. With predictive tools, brands gain a more agile and resilient supply chain that can anticipate disruptions and adapt in real time.

When providers continuously analyze shifting variables like weather, traffic, staffing, and even tariffs, brands can assess risks and respond quickly.

From live routing to real-time tracking, AI automates decisions and reroutes deliveries to maintain momentum. When every delivery window matters, this agility helps brands avoid delays and cancellations.

Proactive Fixes Protect Customer Loyalty

When things go wrong in the last mile, customer trust deteriorates. However, with the right tools, brands can act before issues impact the customer experience.

AI enables providers to detect problems early and escalate them to the right teams. It can also automate status updates, keeping customers informed every step of the way. When issues are reported, AI immediately routes the feedback to the right department for resolution. It can even flag misdeliveries and alert drivers in real time to correct course.

During peak season, this kind of responsiveness can mean the difference between repeat business and lost customers.

Optimized Routes Reduce Emissions and Cut Costs

With AI-powered logistics, brands can improve performance and lower their environmental impact. AI intelligently optimizes logistics networks and delivery routes to reduce vehicle emissions, lower fuel consumption, and cut operational costs.

This tech also supports electric vehicle adoption across the last mile. By optimizing driver behavior, planning efficient charging schedules, and integrating carbon offsets, brands can reduce emissions and logistics spend. That’s a win well beyond peak season.

AI-Powered Returns Become a Strategic Advantage

According to the National Retail Federation, retail returns reached an estimated $890 billion in 2024. While returns surge during peak season, they’re a year-round challenge for brands.

With AI, brands can turn returns from a costly pain point into a competitive advantage. AI speeds up reverse logistics by automating return approvals, processing and routing — cutting both time and cost.

With predictive models forecasting return volumes, brands and their logistics partners can pre-position resources to handle returns more efficiently. AI also analyzes return patterns to uncover issues in sizing, product descriptions, or delivery performance, and routes that insight back to the teams that can fix them.

Final Thoughts

AI-powered logistics will separate peak season winners from the rest. Therefore, it’s time to ask: Are your delivery partners actually putting AI to use?

Ask your last-mile provider to show how AI is being used to make deliveries smarter, faster, and more resilient. Specifically, look for real-time visibility, predictive insights, adaptive routing, and automated problem-solving.

If providers can’t demonstrate these capabilities, it may be time to re-evaluate your delivery partnership. The brands building AI-powered logistics today will win customers — for peak season and beyond.

Peter Lu is the co-founder and CEO of UniUni, a leading technology-driven last-mile logistics provider.