# Locus Global ROI Simulation Platform ## Know your logistics today. See what it becomes with Locus. Locus’ logistics ROI calculator is a 3-minute simulation that helps enterprise teams understand where logistics costs are leaking, what Locus can save, and how a managed-service operating model can change the business case. The calculator is designed for large-scale logistics operations across retail, grocery, CPG/FMCG, 3PL, last-mile, fulfillment, and multi-node distribution networks. **Simulation coverage includes:** - 1,000+ enterprise deployment benchmarks - Regional benchmarks across North America, Europe, and Asia - Direct Locus deployment modeling - Managed-service economics for shipper-to-operator models - Route, fleet, labor, OTIF, and growth impact analysis --- # The Cost of Not Knowing ## Your logistics spend has a story. Most teams never read it. Fleet underutilization, manual planning, missed OTIF targets, and transportation drift quietly drain margin. But most logistics teams struggle to quantify the exact leakage. The Locus calculator turns your current logistics setup into a business case grounded in deployment benchmarks across North America, Europe, and Asia. ### Fleet and routes Empty miles, low utilization, and poor route density mean vehicles are paid for but underused. ### Planning labor Manual dispatch, spreadsheet-based planning, and constant mid-day replanning consume hours that could be automated. ### Fulfillment and OTIF Missed delivery promises create redeliveries, retailer fines, customer churn, and operational inefficiency. ### Transportation drift Freight spend can rise without clear drivers when costs sit outside the planning lens. --- # How the Simulation Works ## The calculator builds a logistics ROI model from your operating profile. The simulation captures your region, industry, scale, fleet mix, planning maturity, outsourcing structure, current systems, and preferred modeling scope. ### 1. Region Regional selection sets currency, distance units, benchmarks, and regulatory context. Supported regions: - **North America** — USD, miles - **Europe** — EUR, kilometers - **Asia** — USD, kilometers ### 2. Industry Industry selection shapes assumptions for cost per shipment, OTIF expectations, fleet type, and route complexity. Supported profiles include: - **Retail, including grocery** — store replenishment, direct store delivery, and direct delivery - **CPG / FMCG** — manufacturers and distributors running warehouse delivery or DSD routes - **Other industries** — including manufacturing, 3PL, pharma, automotive, home services, and other custom logistics operations ### 3. Business scale The calculator uses shipment volume, delivery stops, annual revenue, and city or delivery-zone coverage to estimate the magnitude of savings. ### 4. Fleet composition Owned, dedicated, and contracted fleet mix determines which optimization levers apply and how large the savings opportunity may be. A high contracted-fleet mix can indicate carrier-management inefficiency and a stronger managed-service opportunity. ### 5. Planning maturity The calculator adjusts ROI based on how routes are planned today: - **Manual planning** — Excel, WhatsApp, phone calls, high planner dependency, and limited visibility - **Semi-automated planning** — some TMS or WMS usage, but manual decisions still dominate - **Automated but fragmented planning** — system-driven routing that remains disconnected across nodes Manual planning teams typically see the largest uplift because there is more room to automate, optimize, and reduce planning workload. ### 6. Technology and operations structure The simulation factors in whether logistics planning and dispatch execution are handled in-house, partially outsourced, or fully outsourced. It also accounts for existing systems such as: - WMS - TMS - ERP - OMS - DMS - Manual-only operations ### 7. Simulation scope The calculator can model one or both operating scenarios. #### Locus ROI — Direct Deployment A standard Locus implementation focused on route optimization, fleet utilization, OTIF improvement, and automation while the shipper keeps its own team. #### Shipper-to-Operator Model A managed-service model where an SI or logistics operations partner takes over planning, dispatch, carrier management, and control tower operations using Locus. This model combines lower-cost offshore staffing with Locus automation to reduce the headcount and cost required to run the operation. #### Side-by-Side Comparison The calculator can compare direct deployment against a full managed-service model to show the incremental value of the SI or managed-service relationship. ### 8. Assumption review Before running the simulation, users can review and adjust benchmarked assumptions such as freight spend, cost per shipment, planning effort, and operational inputs. The simulation uses the values entered or confirmed by the user. --- # What the Results Show ## From leakage to a number you can defend. The calculator quantifies hard savings and operational improvements by comparing current logistics performance with the expected impact of Locus. Results include: - **Annual leakage by cost driver** — empty running, idle capacity, failed deliveries, missed consolidation, and manual planning - **Savings across three scenarios** — conservative, most likely, and aggressive rollouts - **Route, fleet, and labor impact** from AI-driven dispatch and dynamic rerouting - **Managed-service economics** compared with in-house operations - **Growth scenario modeling** showing how the savings gap widens as volume scales Manual planning teams see the largest uplift, with typical efficiency gains of **10–25%** and **15–40% labor reduction** on planning workflows. --- # Where Money Is Leaking ## The simulator identifies measurable cost leakage across logistics operations. The leakage model is based on the user’s inputs and regional benchmarks. It highlights the biggest near-term opportunities for improvement, including: - Underutilized fleet capacity - Empty miles and inefficient routes - Low route density - Missed OTIF targets - Redeliveries and service failures - Manual planning labor - Poor consolidation - Rising transportation costs without clear operational drivers --- # What Locus Changes ## The ROI model connects savings to real Locus capabilities. The calculator models the impact of Locus across deployment scenarios, including conservative, most-likely, and aggressive adoption curves. Expected improvements are tied to capabilities such as AI route optimization, fleet utilization, dynamic dispatch, carrier orchestration, visibility, and control tower analytics. --- # Managed-Service Economics ## Full managed service adds staffing leverage to platform savings. In the shipper-to-operator model, a managed-service partner runs logistics operations on Locus, including: - Planning - Dispatch - Carrier management - Control tower operations - Execution monitoring Savings come from two sources: 1. **Lower-cost offshore staffing** 2. **Automation that reduces the number of people required to run the operation** As logistics volume grows, the gap between unmanaged operations, Locus-enabled operations, and managed-service operations becomes wider. --- # The Platform Behind the Simulation ## Every savings line ties to a Locus capability. The same platform behind the calculator supports enterprise logistics orchestration across dispatch, fleet, carrier, hub, and visibility workflows. Locus reports: - **$320M+** in cost savings delivered - **1.5B+** deliveries optimized - **360+** brands across 30+ countries - **17M+ kg** greenhouse gas emissions reduced ### Dispatch Planning AI route optimization across 180+ variables to reduce empty miles and improve OTIF. ### Fleet and Capacity Optimization of owned and contracted fleet utilization, route density, and capacity allocation. ### Delivery Orchestration Carrier selection, 3PL mix optimization, and transportation cost control across the network. ### Hub Operations Synchronized dock, yard, warehousing, and fulfillment handoffs for faster execution. ### Managed Service A shipper-to-operator model that combines offshore staffing arbitrage with Locus platform automation. ### Visibility and Analytics OTIF tracking, leakage identification, growth modeling, and operational control tower visibility. Locus is API-first and integrates with systems such as TMS, WMS, ERP, and OMS. --- # Enterprise Proof Points > “We use Locus for real-time tracking of delivery shipments. This provides us transport visibility, helping us manage trucks more closely and proactively detect the possible issue and update delivery status to customers. In addition, the E-POD management solution saves us a lot of time and effort, as all information is stored on the Locus platform. We are glad to be working with Team Locus.” **Ly Trung Kien** · Group Logistics Manager, Nestle > “Locus has elevated our logistics operations to new heights of performance and productivity. Their advanced parcel sorting technology, combined with geocoding and route allocation, has transformed our order processing, resulting in faster order cycle times and 95% route mapping accuracy.” **Juster Correia** · General Manager, Operations, Blue Dart --- # Frequently Asked Questions ## What is a logistics ROI calculator? A logistics ROI calculator estimates returns from route optimization, fleet utilization, and reduced planning costs using regional logistics benchmarks. ## How does the Locus logistics cost calculator work? Users select a region, complete an 8-step operating-profile form, enter a work email, and view the simulation results on the page. Benchmarks pre-fill key metrics, and assumptions can be adjusted. ## Which regions does the calculator support? The calculator supports: - North America — USD, miles - Europe — EUR, kilometers - Asia — USD, kilometers Benchmarks, currency, and distance units update based on the selected region. ## Is the logistics ROI calculator free? Yes. The simulation can be run for free. Users enter a work email to view results. ## What do I see after running the simulation? The results dashboard shows current logistics performance, where money is leaking, what changes with Locus, how growth affects the savings gap, and recommended next steps. ## What logistics cost savings and efficiency gains can I expect? Results depend on planning maturity, fleet mix, and operating profile. Manual planning teams tend to see the highest uplift. Typical ranges cited by Locus include: - **10–25%** process efficiency improvement - **15–40%** labor reduction on planning workflows ## How does the calculator use fleet utilization and related metrics? The calculator benchmarks fleet utilization rate, empty running, OTIF, planning hours, and stops per route. ## How accurate are the results? Accuracy depends on the quality of the inputs. Users can refine assumptions such as annual logistics spend, transportation costs, and planning hours before running the simulation. ## What costs should be considered beyond the calculator output? The dashboard shows operational savings. A complete finance case may also include total cost of ownership, payback period, NPV, and IRR. ## What is the difference between hard and soft logistics ROI benefits? Hard benefits include measurable savings in transportation, labor, and errors. Soft benefits include improved fulfillment, visibility, customer satisfaction, and service reliability. ## Is the calculator suitable for 3PL, last-mile, and fulfillment operations? Yes. It supports retail, CPG/FMCG, 3PL, last-mile, fulfillment, and multi-node logistics operations. Custom benchmarks are available for other industries. ## Can this help build a route optimization business case? Yes. The calculator provides projections for route optimization, fleet utilization, labor impact, and managed-service economics that can support a leadership business case. ## How does the calculator relate to the Locus platform? The calculator models savings from Locus capabilities across dispatch planning, fleet management, delivery orchestration, hub operations, managed service, and visibility analytics."