Deterministic & reproducible
Order-independent. The same stops always yield the same plan — diff-able, auditable, SLA-ready.
iRoutify plans up to 20 million stops in minutes — one provably optimal, crossing-free route, identical on every run. Not a time budget. Not per driver.
Heuristic apps answer in seconds with approximate routes; OR-grade solvers run for hours or a fixed time budget. iRoutify returns the optimal answer in linearithmic time.
Per-seat planners cap around 1,000 stops and are split by hand beyond that. iRoutify solves the whole network — up to 20M stops — as one problem.
Metaheuristics drift run-to-run, so plans can't be audited or diffed. iRoutify is deterministic and order-independent: same input, same plan, always.
The properties enterprises actually procure on — reproducibility, guaranteed quality, web-scale throughput, data residency — are the defaults, not the roadmap.
Order-independent. The same stops always yield the same plan — diff-able, auditable, SLA-ready.
Routes are provably free of self-crossings — the "spaghetti" artifact that erodes driver trust and inflates miles is gone.
O(n log n) scaling — ~20 million stops in ~6–8 minutes on 8 cores, seconds on typical fleets. Built for live intraday re-planning.
Run it inside your own cloud or on-prem — data stays in-jurisdiction, with no hosted quota — or consume it as managed Azure SaaS.
Balance one job across N vehicles or pack routes into time budgets in a single call — no external splitter, balanced across vehicles.
Priced flat, not per driver — growth never inflates the bill. An open REST API drops the engine straight into your stack, OEM-ready.
Per-seat SaaS, hosted VRP APIs, and captive in-house engines each solve part of the problem. iRoutify is the one engine that is optimal, web-scale, deterministic, and yours to run.
| Per-seat SaaS | Hosted VRP API | In-house engine | iRoutify | |
|---|---|---|---|---|
| Max practical scale | ~1,000 stops / plan | 2,000 orders · 100 routes / job | Web-scale | 20M stops / job |
| Solve behavior | Approximate, time-budgeted | Async job, ~4-hour window | Varies; proprietary | Optimal in O(n log n) |
| Determinism | — not guaranteed | — not documented | ? undisclosed | ✓ guaranteed |
| Crossing-free routes | — | — | — | ✓ guaranteed |
| Pricing | Per driver / month | Metered per route / credit | $100M+ & a decade to build | Flat-rate |
| Deployment | Vendor cloud | Vendor cloud | Captive, never licensed | Self-host · any cloud · SaaS |
| Time to value | Fast, but capped | Fast, but metered | Years | Integrate in weeks |
Competitor figures are drawn from vendors' own public pricing, docs and limits pages (e.g. hosted-VRP caps of 2,000 orders / 100 routes per job; per-seat planners capping around 1,000 stops). Comparison for evaluation only; trademarks belong to their owners.
Delivery, courier, grocery, inspection and service fleets that have outgrown per-seat planners and need whole-network routes, daily.
Embed a deterministic, web-scale optimization core behind your own UX via REST — the tier your roadmap points to, without building it.
Organizations that can't ship routing data to a vendor cloud — run the whole engine inside your own perimeter, in-jurisdiction.
Open the live app, drop in your stops, and watch one optimal, crossing-free route come back — in seconds.