How Big Retailers Are Battling the Last-Mile Delivery Squeeze

Consolidate your last-mile with a selective set of 3pls to optimize route networks and cut final-mile delivery times. In 12 metro markets across North America in 2024, this approach reduced average route length by 15% and delivered orders faster, elevating customer experiences during peak demand.

These partnerships expand types of services, from standard home delivery to curbside pickup, locker drops, and micro-fulfillment possibilities. The more operations you blend, the more resilient the network becomes when storms, strikes, or traffic spikes come, ensuring that komunity rely on reliable services at predictable times for each order.

Economics matter widely: last-mile costs can represent 35–50% of total logistics spend, with urban zones showing higher shares during peak season. Retailers and partners now move roughly 28–33% of final orders through 3pls and external networks, while the rest are served by in-house fleets. New steps like micro-fulfillment near demand clusters and dynamic batching raised on-time delivery to the low 90s in major markets and reduced idle miles by 12–18%, reflecting the ongoing efforts across teams.

To fortify performance, companies should build a tiered partner roster that matches route density with capability. someone on the team must own the end-to-end plan and coordinate with stores, DCs, and 3pls to balance volumes and the work across fleets. Invest in real-time visibility, ETA accuracy, and customer communications so expectations stay aligned. Add flexible services like same-day, next-day, lockers, and in-store pickup to cover more orders and reach more komunity.

What comes next is a tighter integration of delivery data into store operations, with dashboards that compare performance by trasa type and by order size. By focusing on experiences and partnering with reliable 3pls, big retailers can transform the squeeze into sustained growth. The emphasis remains clear: optimize the final mile, empower teams, and keep customers informed at every mile of the path.

Last-Mile Delivery: What It Is and Why It Matters for Retailers

To cut costs and boost satisfaction, invest in real-time location visibility to improve delivery times and increase the share of orders delivered on time.

Last-mile delivery is the final leg of fulfillment that moves orders from a hub, store, or 3pls network to customers’ doors, and it often determines customer experience and repeat business.

Why it matters: fast, reliable last-mile drives growth by turning first-time buyers into repeat customers, lowers returns, and reduces contactless-delivery issues that add to cost and risk.

Key levers include location intelligence to pinpoint drop-offs, dynamic routing to avoid congestion, driver performance data, and clear delivery windows that customers can choose. Linking these elements with accounting and order management provides a unified view of costs and outcomes across the process.

Challenges include limited access at some addresses, failed delivery attempts, miscommunications about windows, weather and traffic disruptions, and capacity constraints within 3pls networks.

Concrete improvements you can implement now: map location clusters to focus coverage, offer flexible delivery windows to reduce failed attempts, require proof of delivery, standardize hand-offs with 3pls, and automate exception alerts to customers and stores. Include daily updates to keep supply, inventory, and delivery plans aligned.

Measurement and governance matter: track times to delivered, on-time rate, number of rescheduled orders, and the impact on daily orders and growth. Tie these metrics to accounting data such as cost per delivered package and driver pay to reveal the true economics of last-mile.

Overcome the vice of siloed data by feeding location, driving, and accounting data into a single view, and pilot dynamic routes with 3pls during peak periods. These pilots should inform long-term improvements in routing, staffing, and store-location strategy to continue delivering value across the supply chain.

What last-mile delivery entails and its impact on retail costs

Expand crowdsourced delivery to cover peak periods and high-density zones, and keep control through centralized routing and real-time visibility, achieving lower last-mile costs than relying on fixed fleets alone.

Last-mile delivery is the final leg from the local dispatch hub to the door. It is the most resource-intensive phase, because each package requires a physical stop, a driver, and potentially multiple attempts if a recipient is not there. This entire process drives the majority of delivery costs and shapes customer satisfaction, with a single delay affecting the whole chain. there, the need for reliable routing and clear ETA becomes evident.

According to a report, last-mile costs can represent roughly 40–60% of total shipping spend, depending on density and distance. That resulting share forces retailers to balance speed with cost, since each additional delivery increases fuel, time, and labor, and can push delivered orders out of the original window. It also creates challenges, such as failed deliveries and missed time slots, which ripple back through the cost structure.

To bend this cost curve, use a crowdsourced pool for flexible capacity during demand spikes, while keeping tight control through clear SLAs and live status updates. Offer free delivery on orders above a value threshold to shift demand into bigger baskets and reduce the number of separate deliveries. Schedule multiple packages on one route and give customers a single window to minimize trips. In addition, place lockers or pickup points to reduce physical doorstep visits, with someone available to collect when needed, extending coverage into areas where storefronts are sparse and supporting the entire network.

Start with a 90-day pilot in two to three metro areas, running parallel routes with in-house drivers and crowdsourced partners, having a clear governance and an eye on the entire network. Track delivered rate, packages per route, cost per package, and on-time performance; use a concise report to compare what works there, according to the data, and adjust the mix accordingly. The approach gave managers actionable insight, showing how capacity comes from crowdsourced drivers and how backhaul savings can be reinvested into faster delivery windows, not just cheaper deliveries. Focus on only those orders that truly require fast service to avoid wasteful trips and backtracking.

Link last-mile tactics to store operations by using stock in hubs and nearby physical stores, enabling micro-fulfillment and curbside pickup as complements. This combination reduces driving time, increases on-time deliveries, and lowers the cost per package across the entire operation. Maintain a tight feedback loop with the team and customers to catch issues before they escalate and sustain momentum across the delivery network.

Key cost drivers shaping last-mile economics: labor, fuel, and capacity

Implement a practical plan now: lock in fixed labor costs by cross-training teams and deploying flexible shifts to keep your total last-mile expense predictable as the squeeze tightens. For business leaders, this approach reduces exposure to swings and helps keep customer experiences consistent.

Leverage route optimization and real-time visibility to balance workloads, cut deadhead, and reduce fuel burn across your network; however, data quality is increasingly critical, and you can also capture environmental and cost benefits through better planning.

In rural and urban segments, combine traditional routes with 3pls. The report from a recent conference highlights factors that influence capacity, including driver availability and fuel volatility, having a direct impact on available network routes. This route view helps you shift loads before congestion hits.

When you bundle products into a single package rather than making multiple stops, you raise service levels and benefit from fewer routes; amazon benchmarks show the advantage of aggregating orders. This approach also helps you control total costs across the day.

Environmental considerations matter: electrification pilots, alternative fuels, and data-driven idling controls can cut emissions and costs, increasingly shaping carrier negotiations and business expectations.

Having capacity locked in through a mix of direct contracts and 3pls helps when demand spikes; ensure you have available capacity at key routes, being ready to reallocate quickly when weather or events alter flows.

Your playbook should include sign indicators on the dashboard showing constrained capacity, regular report updates on route performance, and clear strategies to adjust actions as data arrives; they help teams act quickly by reassigning drivers and rerouting packages.

Network design moves to cut friction: micro-fulfillment centers, dark stores, and visibility

Place micro-fulfillment centers within 5-10 miles of high-demand urban cores to cut last-mile costs, shorten deliveries, and raise order throughput. Typically, a network of 10-20k sq ft centers can handle a mix of orders from nearby stores, reducing transportation time and buffering inventory for fast-moving packages.

• Strategic locations: locate micro-fulfillment centers to cover the top 20 metro areas and 60-70% of daily demand within a 15-minute drive for in-city orders. This location dense model dramatically lowers transportation costs and accelerates parcel delivery, while expanding store teams’ capacity to service more orders end-to-end.

• Dark stores as dual-purpose hubs: co-locate dark stores with or near flagship stores to reuse staff, equipment, and parking, while offering rapid pickup options for local customers. They will handle high-frequency replenishment, while keeping inventory levels raised for online orders without congesting front-of-store experiences.

• Inventory and assortment strategy: keep 60-80% of fast-moving SKUs allocated across MFCs and dark stores, with dynamic replenishment from central distribution centers. This approach stabilizes stock for orders, reduces stockouts, and improves the reliability of end-to-end fulfillment.

• End-to-end visibility: deploy real-time inventory, order, and parcel tracking across all locations. Customers see live status for each package, and operations teams adjust routes before delays escalate. This transparency lowers perceived friction and improves experiences for shoppers who want predictable deliveries.

• Process and work design: standardize end-to-end workstreams: order intake, wave picking at MFCs, parcel sortation, and last-mile routing. Typical workflows use scan-based handoffs, cross-docking where possible, and automated replenishment signals to prevent disruptions.

• Technológia a dáta: integrate WMS with OMS and transportation management systems to coordinate store picks, MFC dispatches, and driver routes. Use real-time dashboards to monitor demand signals and inventory levels, and tie these to customer communications to manage expectations.

• Experiences and communication: show customers estimated delivery windows, update ETAs as data streams in, and offer flexible options (same-day, next-day, or store pickup).emarketer data increasingly indicate that visibility is a key differentiator in last-mile satisfaction.

• People and training: staff cross-trained to handle both store and dark-store tasks, with dedicated roles for picking, packing, and parcel sorting. This reduces handoffs, speeds up work, and lowers the risk of errors that raise customer dissatisfaction.

• Resilience and disruptions: design with multi-location redundancy, buffer stock for top SKUs, and adaptive routing to absorb disruptions in transportation or demand spikes. Regular scenario testing helps leadership, including the president and other executives, anticipate supply shocks.

Implementation note: start with a pilot in three cities, then scale to a wider network as you validate improvements in deliveries, costs, and package integrity. The goal is fewer touches, faster deliveries, and smoother order experiences across locations, store networks, and end customers.

Delivery options that shift consumer behavior: lockers, parcel centers, and in-store pickup

Implement a layered pickup strategy now: lockers at high-traffic corridors, parcel centers near key distribution nodes, and in-store pickup at checkout. This mix accelerates speed for customers and gives them more control over when they receive orders, which comes with higher satisfaction and repeat buying. Instead, tailor options by distance and demand to optimize costs.

Lockers reduce expensive last-mile attempts by letting customers fetch packages on their schedule. They boost speed of fulfillment, raise the threshold for a failed delivery, and lower the minimum handling needed by drivers. For grocery and other essentials, lockers keep items safe and temperature-controlled where possible, improving trust and reducing returns.

Parcel centers consolidate transportation and enable the most efficient routing. For businesses, this shift translates into steadier revenues and more predictable cost structures. By aggregating multiple orders into a single stop, parcel centers double the efficiency of the final leg and shrink transportation miles, supporting ongoing cost savings. Executives in logistics note that this shift tends to double the impact on revenues as volumes rise and delivery windows tighten.

In-store pickup keeps customers in the buying environment and can unlock impulse buys around the collection moment. For most shoppers, it reduces delivery risk and avoids expensive redelivery attempts. Retailers should align store staffing and digital prompts to ensure the process is frictionless where shopping happens, so they capitalize on buying momentum and reach them with relevant offers at the pickup point.

Leuven experiments show that lockers placed at grocery partners raise pickup completion rates by a meaningful margin within weeks, and parcel center co-locations near city outskirts reduce last-mile time by up to 20%. Executives report that the combined option set is now a core element of the future strategy, helping to stabilize revenues in a tighter economy.

To sustain gains, retailers should set a clear threshold for when to offer each option and track ongoing performance by buying behavior, location, and time of day. Most successful programs kept a minimum viable service at scale, building a flexible asset base that can adapt to changing trends and customer preferences.

Start with a pilot in leuven or a similar market, measure speed to pickup, rate of conversions, and maintenance costs, then scale to neighboring grocery zones. This approach keeps costs predictable, supports a robust last-mile strategy, and aligns with a customer-centric economy where choice and convenience drive ongoing revenues and loyalty.

Measuring success: KPIs, pilots, and scale-up criteria for last-mile initiatives

Recommendation: launch a 12-week pilot across three urban centers with five KPIs and explicit scale-up gates. Track company total costs, cost per delivery, and pallets moved; capture damaged items and parts delivered. Use a single platform to consolidate data from operations, logistics, home deliveries, and the shipt network. Publish findings in the internal newsletter and appoint a vice president of logistics to align strategies that meet the needs of the business.

KPIs span service, cost, and quality. Service: on-time delivery rate, first-attempt delivery, delivery window adherence, and order accuracy. Cost: cost per delivery, cost per stop, last-mile cost as a share of total logistics, fuel efficiency, and center utilization. Quality: damaged rate, returns, and customer complaints. Operational efficiency: stops per route, dwell time at centers, and route completion time. Use a daily refresh cadence and a single source of truth, the источник, to feed dashboards and reports. There is no one-size-fits-all KPI; tailor the mix by region.

Pilots should test three variables: geography, service levels (same-day vs next-day), and technology adoption. Run routes on Shipt-enabled lanes and on-house platform lanes; compare manual vs automated load optimization, real-time ETAs, and optimal route decisions. Ensure data feeds capture pallets, home deliveries, and parts movement to quantify volume and capacity gains that meet the needs of the business.

Scale-up criteria: three consecutive weeks meeting KPI targets; robust data integrity and a clear source of truth; a ready partner network and backup plans; risk controls for weather, congestion, and supplier disruption; sustained increases in reliability increase customer satisfaction and reduce costs; plan to add more centers and higher pallets or parts throughput. Ensure governance aligns with vice and operations teams before expansion.

Data governance and reporting: assign data owners for each KPI, set up weekly quality checks, maintain a single источник dashboard used by finance, operations, and customer service. Use the newsletter to share wins and learnings with the broader company and keep the squeeze on costs visible to stakeholders.

Execution steps: finalize KPI definitions, select pilot zones, connect data feeds from the logistics platform and shipt, run the pilot, collect results, and run a joint review with the vice president and regional managers. If gates are cleared, scale sequentially into additional home delivery corridors, more centers, and higher volumes of pallets and parts.

Always measure back-up readiness and alternate routes; align home delivery windows to customer needs; treat damaged goods as a proactive signal to adjust packaging, loading, and handling; sustained improvements in service and cost will solidify gains after the pilot.