eLogii vs Onfleet: Key Differences Explained

Which platform was built for which problem

Feature-by-feature

Three views of the same comparison: capabilities, scale and developer / commercial. Skim whichever is most relevant.

Capabilities

Scale & constraints

Developer & commercial

Sources: eLogii API documentation, Onfleet developer hub and public pricing pages, G2 segment data. Verified May 2026.

Route optimization and scheduling

Both platforms produce optimized routes. The architectural difference is what the engines were designed to optimize for.

Onfleet's routing

Onfleet's auto-dispatch optimizes the assignment of tasks to workers within a team, returning a sequence and ETA for each route. It's fast, simple to invoke (one POST to /api/v2/teams/{teamId}/dispatch), and well-suited for last-mile delivery operations. Two practical considerations, both documented in Onfleet's public materials:

• Route optimization supports up to 2,000 tasks per optimization run.
• Team Auto-Dispatch is available on Scale plans and above.

For local and metropolitan delivery operations, these capabilities are often sufficient. Organizations managing multi-region distribution, recurring service schedules, or complex operational constraints may require additional planning capabilities such as multi-day optimization, recurring route templates, skills-based assignment, and re-optimization workflows.

eLogii's routing

eLogii's optimization engine is exposed across five distinct endpoints that handle different planning modes: a single data set, one or more specific dates, existing routes (re-optimization), a date range, and recurring patterns with varying intervals (weekly, biweekly, monthly). No documented distance constraint. Optimization considers skills, capabilities, vehicle capacity, SLA windows, business rules and time constraints simultaneously, with configurable objectives: minimize miles, balance workload, maximize jobs per day, hit time windows, or any weighted combination.

For field service, the meaningful difference is that eLogii models recurring cadences natively. Planned preventative maintenance contracts, weekly compliance visits, monthly grocery routes, biweekly pest treatments. Dedicated entities (routes, task template groups, route template groups), not workarounds.

Dynamic re-optimization

Both platforms can re-route mid-day. Onfleet re-runs auto-dispatch on the affected team. eLogii re-optimizes per your configured rules. For example, "reroute a no-access visit into the nearest engineer with the right skills, but don't move any jobs with customer-confirmed ETAs in the next 90 minutes." This rule-based approach is the practical difference at scale: planners stop chasing individual events one at a time.

When the dispatch desk is the bottleneck

A planner running 20 drivers in Onfleet can manage exceptions in the dashboard. At 200 vehicles across a region the dispatch desk itself starts to limit the operation. eLogii's visibility and analytics surface is built for that load.

• Map-native reassignment. Drag a job from one route to another on the map. ETAs recalculate for both routes immediately. No popup, no form, no separate dispatch screen.
• Map selection modes. Ctrl-drag for rectangle, Alt-drag for freehand, multi-click for polygon. Select a hundred stops in a zone and assign in one action.
• Bulk actions on hundreds of jobs. Reassign, reschedule, update status, cancel. When weather shuts a depot or a region's coverage changes mid-morning, planners don't go job-by-job.
• Live ETAs. Every non-finished task on every active route updates as traffic shifts, jobs are added or removed, or routes re-optimize. Not just the next stop.
• Late-task filter with variance. One view of every job completed after the window: predicted ETA, actual completion, lateness in minutes. Repeat offenders surface without a spreadsheet.
• Capacity dashboards. Which teams, drivers and vehicles have headroom and which are over-scheduled, with the same data feeding the optimizer for load balancing.
• Filter presets. Save "North West Gas Safe team", "Today's reactive jobs" or "Routes over 90% utilization" and recall in one click.
• Route timeline. Switch from map to a Gantt-style timeline. Every route's progress against plan, utilization, stop count and cumulative length on one screen.
• Geofencing with auto-arrive. Detects arrival when GPS enters a configurable radius. Two enforcement modes: block status changes outside the geofence, or prompt with audit logging.

None of this is exposed in Onfleet's dashboard or API. At 30 drivers in a metro it isn't needed. At regional or national scale it is how planners take the next 10× of volume without doubling the headcount.

Customer communications and experience

Both vendors send SMS and email with live ETAs, run branded tracking pages and capture POD. Where they pull apart:

• Multi-brand tracking pages. Run three brands from one dispatch desk, each with its own logo, colors and layout. Onfleet is single-brand.
• Embedded tracking content. Drop NPS surveys, safety briefings, access codes or treatment instructions onto the tracking page so customers see them in the same place they check ETA.
• Slot booking co-pilot. Customers only see slots that fit current routes. Cuts failed visits by 35% on real customer data.
• B2B portal. Each large account gets a scoped login to view jobs, pull proof PDFs, reschedule within configurable rules or bulk-import tasks by CSV. Customer-driven reschedules handle around 70% of the volume without coordinator involvement.

For metro on-demand work (cannabis, restaurant, courier) the basic Onfleet tracking link does the job. For B2B distribution or planned field service, these are usually where the planner-hour and call-center savings come from.

Field execution and mobile experience

Onfleet's driver app is one of its strongest assets. Drivers consistently rate it highly, and the onboarding flow is simple. Most teams have drivers operational within a day. For straightforward delivery workflows (pick up, drive, drop, confirm) it's hard to beat.

eLogii's mobile app covers the same ground (turn-by-turn navigation, job details, real-time status updates, photo capture, barcode scanning, signature POD) and adds the workflow layer field service requires:

• Co-piloted workflows. Guided sequences for engineers who need to follow specific procedures on site, especially in regulated industries (gas safety, electrical compliance, pharmaceutical).
• Configurable POD. Pick which artefacts are mandatory for which job type. A pest control treatment needs a different proof package than a parcel drop.

Onfleet's data model exposes Workers, Tasks, Recipients, Destinations, Teams, Hubs and Webhooks. No Forms entity. Teams that need custom paperwork on Onfleet typically build it externally and call the API to attach references. Workable for one form, painful at scale.

API, integrations and developer experience

Both vendors expose REST APIs with JSON, webhooks and SDKs. The architectural difference is what the API was designed to do: Onfleet's API is a clean delivery-task interface; eLogii's API is the surface of the platform.

Where eLogii's API differentiates

• 50+ REST endpoints across Tasks, Routes, Drivers, Vehicles, Depots, Customers, Zones, Forms, Schedules and Optimization. Full reference.
• Bulk operations. Endpoints like POST /tasks/createOrUpdateMany handle hundreds of tasks per call, built for high-volume ingest from upstream systems (ERP, FSM, order entry).
• Optimization callable via the API. Trigger optimization on a dataset, re-optimize after cancellations, lock specific routes so the engine respects planner intent, manually reorder stops. Most competitors expose only an "auto-dispatch" endpoint; eLogii exposes the planner controls themselves.
• 7 webhook event types, including Driver/Task Tracking Update with live GPS stream and Route ETAs Update as conditions change. No polling, no cron jobs, no stale data.
• Sandbox environment with full API parity at api-sandbox.elogii.com. Integration partners can build and test against a real eLogii without touching production.
• Custom fields end-to-end. Define a custom field once; it flows through the driver app, webhooks and reporting without being trapped as opaque metadata.
• Granular task operations. POD retrieval, cancel, return, reattempt, move-date are dedicated endpoints, not custom logic the integrator has to model.
• Pre-built connectors to Simpro and Samsara, plus SAP, Oracle NetSuite, MS Dynamics 365, Sage, Acumatica, IFS, Infor, ServiceTitan, Salesforce Field Service, ServiceMax, ServiceNow, Joblogic and others via the REST API.

Onfleet API

• Base URL: https://onfleet.com/api/v2; HTTP Basic authentication.
• Core resources include Tasks, Workers, Recipients, Destinations, Teams, Hubs, Containers, and Webhooks.
• Route optimization and Auto-Dispatch capabilities are available via API, with Auto-Dispatch available on Scale plans and above.
• Route optimization supports up to 2,000 tasks per optimization run.
• Per-task creation; no Forms entity; teams that need a custom paperwork model it externally and attach references.
• Common integrations include Shopify, Square, Leafly, Flowhub, GrocerKey, and other delivery ecosystem partners.

For developers, the practical difference is data model richness. If your integration needs to express "this customer has these depots, this vehicle has these capabilities, this driver has these skills and these schedule exceptions, this job is a recurring task in this template group with these custom forms," eLogii models each of those concepts directly. On Onfleet, you model most of that in metadata fields on Tasks and Workers, which works for simple drops but trades structure for flexibility at scale.

Pricing

The right comparison is at the scale you actually operate at. For our typical buyer (50+ in the field, 10,000+ jobs/month or equivalent), the apples-to-apples lookup is eLogii's starting plan vs Onfleet's Enterprise plan.

Onfleet pricing (2026)

Pricing per Onfleet's published plans as of 2026. SMS messaging and voice telephony are billed separately based on usage. Free 14-day trial available.

eLogii pricing

eLogii pricing starts from $3,000/month and is tailored to the operation: number of people in the field, jobs per day, planning team size, and which modules are required. Customers typically report 3–4× return on investment within 6 months.

What this means at your scale

• Onfleet's task-based pricing compounds with growth. A team running 15,000 tasks/month (modest at distribution scale) is firmly in Enterprise plus add-ons, before SMS.
• eLogii is a platform fee, operationally banded by field staff, drivers, jobs and modules. It steps across bands rather than tracking transactional volume, so the bill is meaningfully more predictable than per-task pricing as your jobs scale.
• SMS notifications, multi-region operations, and advanced optimization are included in eLogii's pricing rather than billed separately.

When to pick each platform

Switching from Onfleet to eLogii

Most teams switch in 2–4 weeks. The data models map cleanly:

Frequently asked questions

Is eLogii an alternative to Onfleet?

Yes. eLogii is one of the most-cited alternatives to Onfleet for operations that have outgrown last-mile-only software. The two platforms overlap on driver app, route optimization and proof of delivery, but eLogii is built for field service and distribution operations at 50–2,000+ in the field, with native support for recurring schedules, configurable forms, multi-depot routing and SLA-driven planning that Onfleet does not natively cover.

What's the main difference between eLogii and Onfleet?

Onfleet is a last-mile delivery management platform optimized for on-demand deliveries within a city or metro area. eLogii is a route optimization and dynamic scheduling platform designed for field service, logistics, and distribution operations, where jobs may involve skills, service durations, SLAs, recurring schedules, and custom on-site workflows. While Onfleet focuses on delivery execution and route dispatching, eLogii provides a broader planning model that supports multi-depot operations, recurring services, skills-based assignment, custom forms, and complex scheduling requirements. Onfleet supports up to 2,000 tasks per route optimization run, while eLogii is designed for organizations managing large-scale, multi-region operations with more advanced planning and optimization needs.

How does pricing compare?

Onfleet's published plans start at roughly $619/mo for 2,500 tasks (Launch), $1,349/mo for 5,000 tasks (Scale) and $3,099/mo for 10,000+ tasks (Enterprise), with SMS and voice telephony billed separately. eLogii starts from $3,000/mo with custom pricing based on scale, complexity, and required modules. At higher volumes (particularly when SMS notifications, multi-region, or advanced optimization are required), eLogii is frequently more cost-effective on a per-job basis.

Can eLogii replace Onfleet?

Yes. eLogii covers every core Onfleet capability (driver mobile app, real-time tracking, optimized routes, proof of delivery, customer notifications, branded tracking pages, REST API and webhooks) and adds dynamic scheduling, configurable digital forms, multi-day and recurring optimization, skills-based assignment, and full data export to BI tools. Most teams migrate within 2–4 weeks with technical support from eLogii.

Which is better for field service?

eLogii is built for field service. It supports planned preventative maintenance, reactive callouts, recurring jobs on configurable cadences, skills and certifications matching, custom on-site forms, SLA windows and time constraints, and dynamic re-optimization when conditions change mid-day. Onfleet was not designed around these concepts.

Does Onfleet have custom forms like eLogii?

Onfleet's public API exposes Tasks, Workers, Recipients, Destinations, Teams, Hubs and Webhooks. It does not expose a Forms entity. eLogii's API includes dedicated Forms and Form Submissions endpoints, allowing teams to design unlimited custom digital forms (risk assessments, inspection checklists, compliance paperwork, conditional service steps) and pull structured submissions back via API or webhook.