--- title: "Best Last-Mile Delivery Software for Enterprise Retail Chains in 2026" id: "20406" type: "post" slug: "best-retail-delivery-software" published_at: "2026-09-07T08:11:15+00:00" modified_at: "2026-09-07T08:11:17+00:00" url: "https://locus.sh/blogs/best-retail-delivery-software/" markdown_url: "https://locus.sh/blogs/best-retail-delivery-software.md" excerpt: "Explore the best retail delivery software platforms in 2026. Compare features, integrations, and tools to optimize last-mile delivery operations." taxonomy_category: - "Retail & CPG" taxonomy_post_tag: - "Delivery" - "Delivery Management Software" - "Retail" --- #### [Retail & CPG](https://locus.sh/blogs/category/retail-and-cpg/) # Best Last-Mile Delivery Software for Enterprise Retail Chains in 2026 [Team Locus](/author/team-locus/) Sep 7, 2026 18 mins read ## Key Takeaways - The real test for any retail delivery platform is what happens after dispatch, not what the plan looked like at 8 AM. - Most tools are strong at one layer: routing, dispatch, or tracking. - The question is whether they hold up when all three break down at once. - Pricing model clarity matters more than you think. - Opaque pricing usually means a heavier sales motion and a longer implementation cycle. - Locus is built to run the full execution layer end-to-end: planning, dispatch, real-time visibility, and exception recovery under a single system. ## **Overview** For enterprise retail chains running store replenishment and customer fulfillment on shared capacity, Locus is the strongest fit because it resolves both objectives inside one optimization rather than trading one against the other. As the world’s first Decision-Intelligent, [Agentic TMS, Locus](https://locus.sh/transportation-management-system/) models 250+ real-world constraints simultaneously, including vehicle compartments, temperature zones, store receiving windows and driver shift limits, and orchestrates 1,000+ pre-integrated carriers alongside owned, third-party and gig fleets. DispatchIQ sustains 99.5% on-time delivery against the 80% to 90% typical of manual dispatch. Locus has delivered 1.5B+ orders for 360+ enterprise customers across 30+ countries at 99.99% uptime, and was acquired in October 2025 by Ingka Investments, the investment arm of the world’s largest IKEA retailer. ## What Makes Enterprise Retail Chains a Different Buying Problem A retail chain is not a large single-site retailer. It runs two delivery operations that compete for the same fleet, and most platform evaluations price only one of them. The first is store replenishment, moving stock from distribution centers to stores. It is high volume per drop, scheduled against receiving windows, measured in cost per case, and largely predictable. The second is customer fulfillment, moving orders from stores or dark stores to doorsteps. It is low volume per drop, constrained by a promise made at checkout, measured in on-time delivery and cost per order, and volatile by the hour. These two flows have opposed objective functions. Replenishment optimizes for consolidation, because a fuller truck is a cheaper case. Customer fulfillment optimizes for promise adherence, which frequently means dispatching a vehicle that is not yet full. A platform tuned for one will systematically underperform on the other, and a chain running both on shared capacity needs a system that holds both objectives at once rather than averaging them. | Requirement | Store replenishment | Customer fulfillment | | --- | --- | --- | | Unit of optimization | Cost per case | Cost per order and promise adherence | | Volume per stop | High, palletized | Low, single basket | | Time constraint | Store receiving window | Slot or ETA promised at checkout | | Demand pattern | Planned, weekly cycle | Volatile, intraday | | Vehicle profile | Larger, often multi-temperature | Smaller, often shared or gig | | Failure cost | Out-of-stock on shelf | Failed delivery and lost customer | Three further requirements are specific to chains and worth confirming explicitly during evaluation. **Ship-from-store as a routing decision, not a channel.** When a store becomes a fulfillment node, the platform has to choose between nodes per order using live store capacity, pick throughput and stock position. A system that treats ship-from-store as a fixed assignment rather than a live allocation decision loses most of the value of having the network. **Configuration by business unit and region rather than globally.** Chains rarely run one operating model. Formats differ, regions differ, and franchise or concession arrangements differ again. The practical test is whether routing rules, service levels and fleet mix can be set per region and per format without a separate deployment. **Returns and reverse flows on the same plan.** Chain returns move to stores as often as to a returns center, which makes reverse volume a routing input rather than a separate process. Ask whether returns are planned inside the same optimization as outbound, or handled afterward. If a driver calls out sick at 6 AM in your retail delivery operation, or a store misses its ready time, or a customer reschedules mid-route, and suddenly the “optimized plan” you have decided in a spreadsheet has no operational value. The tools that actually hold up in these moments are not the ones with the longest feature list. They are the ones built to keep making decisions after the plan breaks. If you are shortlisting retail delivery software right now, you are buying control over SLA performance, delivery cost, and the operational load on your dispatch team when things go sideways. This 2026 guide covers six top tools with that lens, with the pick for the best enterprise solution. ## Key Features to Look for in Retail Delivery Software Efficient last-mile delivery illustration As you can tell, not all features create equal operational value. These are the ones that actually separate good days from expensive ones. ### Execution-first orchestration A plan that cannot adapt after dispatch forces your team to rebuild it manually throughout the day. The [right platform](https://locus.sh/blogs/last-mile-route-optimization/) keeps re-routing, re-sequencing, and reallocating as constraints shift, without waiting for a dispatcher to notice and intervene. This is the single biggest gap between basic routing tools and enterprise-grade platforms. ### Constraint handling that matches retail reality Time windows, vehicle capacity, driver shift limits, store cutoffs, and product-handling rules should be native to the optimization logic, not configured as workarounds. When they are not, the “perfect plan” hides failures that only surface during execution. ### Control tower with an exception queue, not just a map Dots on a map tell you where your drivers are. An exception queue tells you what is at risk, who owns it, and what action resolves it fastest. These are [different tools](https://locus.sh/blogs/last-mile-delivery-analytics/) . Most platforms sell the map; fewer solve the queue. ### Customer communication that reduces WISMO Missed delivery attempts are expensive. Branded tracking pages, proactive ETA updates, and easy rescheduling reduce inbound support volume even when operations are running slightly behind. If the communication layer breaks down, customer experience takes the hit regardless of the on-time rate. ### A driver app that makes compliance easy If the mobile experience is confusing, drivers skip steps, data quality degrades, and the analytics you bought the platform for become unreliable. The [app should handle](https://locus.sh/driver-companion-app/) navigation, task completion, proof-of-delivery, and issue capture without friction. Locus’ delivery management app interface ### Integration that holds at scale Pilot integrations with OMS, WMS, and carrier systems often look fine. The problems surface at volume or when a system changes. Ask who owns integration maintenance post-go-live and whether it requires engineering support on your side. Suggested Read ## Top 6 Best Retail Delivery Software Tools in 2026: Quick Overview Let’s give you a quick comparison before we go into the details: | Tool | Best For | What It Does Well | Pricing Model | Free Trial | | --- | --- | --- | --- | --- | | Locus | Enterprise retail delivery orchestration across nodes and fleet types | Orchestration depth, real-time execution control, exception management, and AI-driven automation | Quote-based | Demo-based evaluation | | FarEye | Teams prioritizing delivery-experience workflows and last-mile visibility | Slot management, delivery experience layer, and operational visibility | Quote-based | Demo-based evaluation | | Onfleet | Dispatch and last-mile delivery management for teams wanting clear tiers | Driver workflows, dispatch dashboard, tracking, and configurable completion steps | Public tiered pricing | Yes | | Tookan | Task-based delivery operations and configurable dispatch workflows | Flexible task-management model, quick setup, driver and customer apps | Public tiered pricing | Yes | | ShipStation | Shipping operations: labels, rate shopping, tracking, and returns | Shipping workflow automation across carriers and channels | Public tiered pricing | Yes | | Pepperi | B2B order capture and field sales execution that impacts fulfillment readiness | B2B catalog, pricing, ordering workflows, and omnichannel sales operations | Request-based, modular | Demo-based evaluation | *Comparing top retail delivery software tools* ## Top 6 Best Retail Delivery Software Tools in 2026: Detailed Comparison Now, let’s go over the top retail delivery software tools and their specifics: ### 1. Locus Locus is an execution-first delivery orchestration platform for enterprise retail operations. Most delivery problems start with a plan that cannot respond to reality. In a typical setup, a dispatcher catches issues, manually adjusts, calls someone, and updates the board. Multiply that by 50 routes, and you have a [dispatch team](https://locus.sh/blogs/best-dispatch-planning-software/) that spends its entire day firefighting rather than managing. Locus is built around the premise that the software should absorb most of that firefighting. Powered by its proprietary DispatchIQ engine, it processes over 180 variables simultaneously, including time windows, vehicle capacity, driver shift limits, live traffic, and order priority, to generate routes that are not just efficient on paper but executable in the field. When conditions change mid-day, the system re-optimizes rather than waiting for a human to notice and respond. Across 650 million+ orders processed in 400+ cities globally, Locus customers have reported a 25% increase in efficiency, a 45% increase in deliveries per day on the same fleet, and 8% improvement in SLA compliance. These are outcomes that come from the execution layer working as a system, not from better planning alone. #### Locus’ Key Features ##### 1. DispatchIQ: AI-driven route optimization This is not third-party routing wrapped in a UI. [Locus built its own optimization engine](https://locus.sh/dispatch-planning-software/) trained on real delivery data, capable of handling the vehicle routing issues at enterprise scale. Locus Dispatch Planning Software can cut delivery costs significantly It accounts for physical constraints (vehicle type, load limits), operational constraints (driver HOS compliance, shift rules), and live variables (traffic, cancellations, mid-route additions) in a single optimization pass. Dispatchers move from decision-making to exception-handling. ##### 2. NodeIQ: Network-level intelligence Beyond daily routing, [NodeIQ acts as a digital twin](https://locus.sh/blogs/supply-chain-network-optimization/#:~:text=Locus%20NodeIQ's%20digital%20twin%20technology,and%20long%2Dterm%20business%20goals.) of the supply chain, letting planners model facility placement, inventory policy, and disruption scenarios. If the bottleneck is structural, such as too many stops per hub or poorly placed fulfillment nodes, NodeIQ surfaces and models the fix before it shows up as a recurring SLA problem. ##### 3. ShipFlex: Third-party carrier orchestration Most enterprise retailers run a mix of owned fleets and 3PLs. [ShipFlex](https://locus.sh/ship-flex/) automates carrier selection and management based on service requirements, volume, and cost, so peak surges do not require manual carrier negotiations or dispatcher judgment calls under pressure. ##### 4. Control Tower with exception prioritization [The operations view](https://locus.sh/control-tower-software/) is built for dispatch teams managing 50+ routes simultaneously. It surfaces what is at risk, not just what is late, and gives dispatchers the context and tools to resolve exceptions without toggling between systems. ##### 5. Customer experience layer Branded tracking, proactive notifications, and rescheduling workflows reduce WISMO tickets and protect customer trust even when operations are running under pressure. ##### 6. Proprietary geocoding engine For retailers operating in markets where address standardization is inconsistent, Locus’s geocoding converts ambiguous inputs into precise coordinates. This directly improves first-attempt delivery rates and is a meaningful operational advantage in APAC and other emerging markets. #### Locus Is Ideal For - Retailers running multi-node, multi-region operations with high daily order volumes. - Teams with hybrid fleet models: captive drivers, 3PLs, and carriers running simultaneously. - Operations where exceptions are the norm, and the goal is to reduce how much human intervention each exception requires. - Retail verticals with strict time-window pressure: grocery, pharmacy, big-and-bulky, and B2B distribution. #### Locus’ Pros - Orchestration depth that covers planning, dispatch, visibility, and exception management without requiring separate tools for each layer. - DispatchIQ’s 180+ variable optimization is genuinely differentiated from competitors using off-the-shelf engines or 20-30 variable models. - Scales across regions and fleet types without the performance degradation that often appears as complexity increases. - Analytics are decision-grade: they surface what to change, not just what went wrong. #### Locus’ Cons - Quote-based pricing means a structured buying and scoping process. If you need a same-week trial with a credit card, this is not that product. - The full value of the platform is most visible at scale. Single-node, low-volume operations may not need the orchestration depth Locus provides. #### Locus Pricing Pricing is quote-based and scoped to your delivery volume, network complexity, and the modules required. The fastest way to understand fit and cost is a scoped demo with your real constraints on the table. [Schedule a demo](https://locus.sh/schedule-demo/) to learn more. ### 2. FarEye FarEye — a last-mile delivery experience and visibility platform FarEye is built for teams where the customer-facing delivery experience is the primary problem to solve. Its strengths are in slot-based delivery management, delivery communications, and last-mile process standardization across distributed operations. If your SLA pressure is driven by customer satisfaction scores and missed delivery windows rather than fleet efficiency, FarEye belongs on your evaluation list. #### FarEye Is Ideal For Teams running last-mile operations where delivery experience standardization and customer communication quality are the primary business goals, especially across multiple regional operators or 3PL partners. #### FarEye Key Features - Slot management and delivery-experience workflows for customer-facing scheduling. - Last-mile visibility with operational controls for managing distributed delivery flows. - Process standardization tools that help unify how different regional teams or partners execute deliveries. #### FarEye Pros - Strong delivery-experience layer that can improve customer satisfaction metrics without requiring a full platform replacement. - Useful when the goal is standardizing last-mile workflows across diverse partners. #### FarEye Cons - Pricing is not publicly listed, so expect a sales-qualified conversation before you see numbers. - If your core problem is orchestration complexity and exception volume rather than delivery experience, validate that depth carefully before committing. #### FarEye Pricing Not publicly listed. ### 3. Onfleet Onfleet — a dispatch and last-mile delivery management tool with tiered pricing Onfleet is a clean, well-scoped last-mile dispatch tool. It covers the essentials well: a dispatcher dashboard, a strong driver app, proof-of-delivery capture, customer tracking, and ETA notifications. #### Onfleet Is Ideal For Teams that need to standardize dispatch and last-mile driver workflows quickly, without the complexity of multi-node orchestration. A good fit for regional retail or D2C delivery operations where the core problem is dispatcher visibility and driver workflow compliance. #### Onfleet Key Features - Dispatcher dashboard with task assignment, route monitoring, and team management. - Driver app with navigation, completion steps, and POD capture. - Customer tracking with ETA notifications and delivery feedback. #### Onfleet Pros - Transparent tiered pricing makes procurement straightforward. - Fast to implement and onboard for teams that need operational standardization quickly. #### Onfleet Cons - If your operations span multiple nodes or require orchestration across fleet types, validate how the platform handles cross-node decision-making. - Deep customization requirements may push you into enterprise tiers with a heavier implementation motion. #### Onfleet Pricing Public tiered pricing available on the [Onfleet pricing page](https://onfleet.com/pricing/) . ### 4. Tookan Tookan — a task-based delivery management and dispatch platform Tookan takes a task-management approach to delivery operations. It is flexible enough to model different job types, agent roles, and completion workflows, which makes it a practical choice for operations that do not fit neatly into route-based delivery models. #### Tookan Is Ideal For Task-heavy delivery environments where flexibility in how jobs and agents are modeled matters more than deep route optimization. Also a reasonable starting point for smaller teams that want quick setup and public pricing tiers. #### Tookan Key Features - Task-based dispatch with configurable workflow steps and completion requirements. - Driver and customer-facing apps with real-time tracking. - Add-ons for route optimization and booking forms, available on higher plans. #### Tookan Pros - Flexible enough to model non-standard delivery workflows. - Public pricing tiers and relatively quick setup reduce procurement friction. #### Tookan Cons - Some advanced capabilities are plan-gated or add-on based. Map your requirements carefully before assuming they are included. - Multi-region, exception-heavy operations may hit scaling limits worth validating before committing. #### Tookan Pricing Public tiered pricing available on the [Tookan pricing page](https://jungleworks.com/tookan/pricing/) . ### 5. ShipStation ShipStation — a shipping operations platform for label management, rate shopping, and carrier workflows ShipStation does one thing well: shipping operations. Label creation, carrier rate shopping, tracking across channels, and returns management are its core. It belongs on this list because many retailers conflate “shipping software” with “delivery software,” and the distinction matters for how you structure your stack. #### ShipStation Is Ideal For Retailers whose primary bottleneck is in shipping workflow: managing multiple carriers, printing labels efficiently, and handling returns at volume. If the problem is last-mile route execution and dispatch, ShipStation does not address that layer. #### ShipStation Key Features - Label creation and carrier rate shopping across major carriers. - Multi-channel order import and shipping workflow automation. - Tracking and returns management tied to shipping operations. #### ShipStation Pros - Clear tiered pricing and fast onboarding for shipping teams. - Strong fit if carrier management and shipping cost reduction are the immediate priorities. #### ShipStation Cons - Not a last-mile execution platform. You will still need routing, dispatch, and exception management on top of it. - Does not orchestrate multi-fleet or mixed-carrier last-mile operations. #### ShipStation Pricing Public tiered pricing starting at $9.99/month, with higher tiers for greater shipment volume. ### 6. Pepperi Pepperi — a B2B commerce and field sales execution platform that improves fulfillment readiness upstream Pepperi addresses the delivery problem from a different angle: it fixes what happens before the order reaches your fulfillment team. Its focus is B2B order capture, field sales execution, buyer-specific pricing, and omnichannel ordering workflows. If inaccurate orders or slow order-to-fulfillment cycles are degrading delivery performance, the root cause may be upstream. #### Pepperi Is Ideal For B2B retailers and distributors where field sales accuracy and order quality directly affect downstream fulfillment and delivery scheduling. Not a last-mile execution platform, but a meaningful upstream fix if order data quality is a recurring problem. #### Pepperi Key Features - B2B ordering workflows with buyer-specific catalogs and pricing structures. - Field sales execution tooling for reps managing accounts in the field. - Omnichannel ordering capabilities that consolidate multiple sales channels into a single operational view. #### Pepperi Pros - Modular pricing means you can align spend to the specific capabilities you need. - Strong fit when order accuracy and upstream data quality are the root cause of delivery failures. #### Pepperi Cons - Not a last-mile delivery orchestration platform. Pairing it with a dedicated execution layer is necessary if dispatch and routing are also gaps. #### Pepperi Pricing Request-based and modular. Details available on the [Pepperi pricing page](https://www.pepperi.com/pricing/) . ## Important Aspects to Consider When Choosing a Retail Delivery Software Tool in 2026 A few checks that are easy to skip and expensive to ignore. ### Know where your variability actually enters If most of your disruptions happen after dispatch, you need execution-first orchestration. If they happen upstream in order data or carrier allocation, fix those layers first and choose your software accordingly. ### Route optimization and delivery outcomes are not the same thing A platform can improve route efficiency while on-time performance worsens, if it cannot handle exceptions and re-optimization in real time. Ask for outcome metrics, not route score metrics, in your demo. ### Validate integration ownership before you sign Most platforms integrate cleanly in a pilot. The question is who maintains those integrations when your OMS updates or a carrier changes its API. If the answer is “your engineering team,” budget for it. ### Test the driver experience in your hardest lanes Driver app compliance drives data quality. If your drivers skip proof-of-delivery steps or close out orders inaccurately, your analytics become noise. Run the driver app pilot in the routes with the highest exception rates, not the cleanest ones. ### Ask outcome questions in demos, not feature questions Show me how the system handles a late store-ready time. Show me what happens when a driver drops off mid-shift. Show me how an exception is triaged, assigned, and escalated. Feature walkthroughs are not a proxy for operational fit. ## Revamp Your Retail Delivery Capabilities with Locus For straightforward operations, a dispatch-first tool can cover a lot of ground efficiently. For shipping-heavy workflows, a dedicated shipping operations platform may be the right first investment. But for enterprise retail delivery with mixed fleets, multiple nodes, and daily exception volume, the deciding factor is how well the platform holds up when the plan breaks. That is the environment Locus was built for. If your goals are fewer exceptions per 100 stops, lower cost per successful delivery, and SLA stability across a complex network, the fastest path forward is a demo scoped to your actual lanes, constraints, and exception patterns. [Schedule a demo with Locus](https://locus.sh/schedule-demo/) . ## Frequently Asked Questions (FAQs) 1. How do I evaluate retail delivery software if I have a mixed fleet of owned drivers and 3PLs? Look for platforms that can allocate work across fleet types using the same constraint logic, not just manage them as separate buckets. Ask specifically how the platform handles a mid-day reallocation from a failed captive driver to a 3PL without manual dispatching. 2. Is a free trial a reliable way to evaluate enterprise delivery software? For dispatch-and-track tools, yes. For orchestration platforms, no. The value of orchestration shows up at volume and under exception conditions that a free trial rarely replicates. A scoped demo with your real routes and constraints gives you a more accurate picture of fit than a sandbox trial. 3. What is the realistic implementation timeline for a platform like Locus? It varies by network complexity, integration scope, and data readiness. Simple deployments can go live in weeks. Multi-region, multi-fleet implementations with deep ERP and WMS integrations typically run over several months. The scoping conversation is where this gets defined, which is why a demo-based evaluation matters more than a free trial for this category. 4. Can I use ShipStation and Locus together? Yes. ShipStation manages shipping workflows upstream, while Locus handles last-mile dispatch, routing, and exception management. They solve different layers of the problem and can coexist in a well-structured tech stack. 5. How do I make a business case internally for replacing an existing dispatch tool? Quantify exception volume and the manual hours spent resolving them each week. Attach a cost to SLA failures using your actual redelivery costs and customer satisfaction data. Then model what a 20-25% reduction in exceptions and cost per stop would mean at your current scale. That is a more credible internal case than a feature comparison. 6. What is the best last-mile delivery software for enterprise retail chains? The right platform depends on whether the chain runs store replenishment and customer fulfillment on shared capacity. Chains running both need a system that holds two opposed objectives at once, consolidation for replenishment and promise adherence for customer orders, rather than one tuned for a single flow. Locus is built for this case, modeling 250+ real-world constraints simultaneously across 1,000+ pre-integrated carriers and owned, third-party and gig fleets. MEET THE AUTHOR Team Locus Written by the Locus Solutions Team—logistics technology experts helping enterprise fleets scale with confidence and precision. ### Related Tags: [Delivery](https://locus.sh/blogs/tagged/delivery/) [Delivery Management Software](https://locus.sh/blogs/tagged/delivery-management-software/) [Retail](https://locus.sh/blogs/tagged/retail/) [https://locus.sh/blogs/carrier-integration-software/](https://locus.sh/blogs/carrier-integration-software/) #### [General](https://locus.sh/blogs/category/general/) ## [7 Best Carrier Integration Software Platforms for Enterprise Logistics (2026)](https://locus.sh/blogs/carrier-integration-software/) [Team Locus](https://locus.sh/blogs/author/team-locus/) Sep 7, 2026 Compare 7 carrier integration software platforms built for enterprise logistics. Covers API vs EDI, multi-carrier governance, SLA monitoring, and onboarding speed. [Read more](https://locus.sh/blogs/carrier-integration-software/) [https://locus.sh/blogs/tms-vendor-sla-soc2-support-verification-2026/](https://locus.sh/blogs/tms-vendor-sla-soc2-support-verification-2026/) #### [General](https://locus.sh/blogs/category/general/) ## [Enterprise SLAs, SOC 2 and 24/7 Support: How to Verify TMS Vendor Claims](https://locus.sh/blogs/tms-vendor-sla-soc2-support-verification-2026/) [Ishan Bhattacharya](https://locus.sh/blogs/author/ishan_locus/) Sep 7, 2026 A certification is a scoped, time-bounded opinion, not a company property. What SOC 2, SOC 3 and ISO 27001 actually attest, and the five questions that verify each claim. [Read more](https://locus.sh/blogs/tms-vendor-sla-soc2-support-verification-2026/) ## Best Last-Mile Delivery Software for Enterprise Retail Chains in 2026 - Share - [Print](javascript:window.print()) - [Download](#) - [Schedule a Demo](https://locus.sh/schedule-demo/) ### Is your team spending more time on fixing logistics plan than running the operation? - Agentic transportation management from order intake to freight settlement - Route optimization built on 250+ real-world constraints - AI-driven dispatch with automatic execution handling 20%Cost Reduction 66%Faster Planning Cycles [Schedule a demo](/schedule-demo/) Insights Worth Your Time #### [General](https://locus.sh/blogs/category/general/) ## [Locus 2026 US Consumer Survey: Generative AI isn’t Just Changing How Consumers Shop, it’s Breaking the Demand Patterns US Retail Was Built On](https://locus.sh/blogs/generative-ai-shopping-effect-retail-fulfillment-operations-locus-q2-2026-consumer-survey/) [Ishan Bhattacharya](https://locus.sh/blogs/author/ishan_locus/) May 29, 2026 #### [General](https://locus.sh/blogs/category/general/) ## [Embedded vs Bolted-On AI: The Architecture Question European Logistics Buyers Are Asking](https://locus.sh/blogs/embedded-vs-bolted-on-ai-european-logistics-platform-architecture-business-benefits/) [Aseem Sinha](https://locus.sh/blogs/author/aseem_locus/) May 21, 2026 #### [General](https://locus.sh/blogs/category/general/) ## [Hybrid Fleet Management: How Owned, 3PL, Gig, ICE, and EV Capacity Actually Operate at Most Enterprises](https://locus.sh/blogs/three-workforce-fleet-reality-owned-3pl-gig-drivers/) [Aseem Sinha](https://locus.sh/blogs/author/aseem_locus/) May 7, 2026 #### [General](https://locus.sh/blogs/category/general/) ## [US Returns Hit $850 Billion in 2025: Why US Retailers Are Restructuring Reverse Logistics in 2026](https://locus.sh/blogs/850-billion-us-returns-ai-routing-reverse-logistics-2026/) [Ishan Bhattacharya](https://locus.sh/blogs/author/ishan_locus/) May 7, 2026