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Ops EfficiencyFounded 2013 · 13 yrs

FarEye

AI-powered delivery management platform built for enterprise-scale last-mile operations.

By FarEye · 4.0/5 Value-Position score (estimate)

Positioning guardrails

Best for

  • Enterprise last-mile and field delivery operations in grocery, big & bulky and e-commerce
  • 3PLs and carrier networks orchestrating DSP, gig-worker and partner-carrier ecosystems
  • Logistics teams replacing manual planning with dynamic routing, cross-docking and capacity planning
  • Brands wanting branded tracking, delivery scheduling and multiple delivery options at checkout
  • Operations teams tracking scope 1-3 emissions and running green-fleet (EV) routing

Ideal size: 500+ employees people · Enterprise with a dedicated logistics/operations team

Not for

  • Small businesses wanting self-serve sign-up or a published price list
  • Teams needing a lightweight point solution with no implementation effort
  • Companies with no existing delivery, fleet or carrier operation

Value metrics scorecard

Time-to-Value

3-6 months (enterprise rollout)

~90 days to first production value

Total Cost of Ownership

On request

Quote-based enterprise pricing; no public price list, buyers are routed to 'Book a meeting'

Implementation Friction

4/5

Engineering + admin effort required

Value-Position score

4.0

out of 5 · model estimate

Full cost breakdown

Mandatory implementation fee

None

Seat tiers

Not published

Add-on costs

  • None

Company & support

Who is behind FarEye, and how your team gets help once it is live.

Company

Founded
2013 · 13 yrs in business
Headquarters
Not recorded

How you get support

We haven’t recorded support channels for FarEye yet. Nothing here means unverified — not absent.

Market position

Where FarEye sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.

Quadrant view

Typical annual cost × Time-to-value

$0/yr$1/yr80d85d90d100d120dAnnual TCO ← betterDays to value better →Quick & CheapQuick & PriceySlow & CheapSlow & PriceyFarEyeFourKitesManhattan Active WMBlue YonderOnitShipHawk

The lines cross at the median of the solutions shown, so about half sit on each side of each line. A dashed ring marks an outlier pinned to the edge; hover for its value.

FarEye is outlined. Click any dot to open its dossier.

Companies on the chart 6 / 10

  • FarEye
  • FourKites
  • Manhattan Active WM
  • Blue Yonder
  • Onit
  • ShipHawk
Add or change companies

Up to 10 companies including FarEye. Listed closest first.

Stack fit signal

Compatibility with standard B2B ecosystems.

MCPNot supported

No supported MCP path today, so it cannot be driven from an AI client.

SalesforceNot supported
AWSNot supported
SnowflakeNot supported
HubSpotNot supported
Google WorkspaceNot supported
Microsoft 365Not supported
SAPNot supported
SlackNot supported

AI & MCP readiness

What FarEye ships in AI, and what it asks of your ecosystem.

We haven’t recorded AI capabilities for FarEye yet. Nothing here means unverified — not absent.

Compliance attestations

SOC 2 — not listedISO 27001 — not listedGDPR — not listedHIPAA — not listedFedRAMP — not listedCMMC — not listedISO 42001 — not listedIAPP AIGP* — not listed

* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.

Bottom line

FarEye is an enterprise last-mile delivery management platform covering dynamic route planning, capacity planning, delivery scheduling, branded tracking, multi-location fulfillment, sustainability (scope 1-3 emissions, green-fleet routing) and operational analytics. Founded in 2013 and backed by $150M in funding, it reports 150+ customers across 30+ countries, with published case studies in grocery, e-commerce, big & bulky, 3PL/carrier and healthcare logistics. Pricing is quote-based with no public list price.

Frequently asked questions

What exactly does FarEye do?

FarEye is a last-mile delivery management platform for enterprise operations. Its stated capabilities are fleet efficiency (dynamic routing, cross-docking, capacity planning), delivery experience (delivery options at checkout, branded tracking, hyper-personalisation), a flexible delivery network (gig workers, DSP/carrier ecosystem, same-day and hyperlocal options), fulfillment from multiple locations, sustainability tracking of scope 1-3 emissions with green-fleet routing, and analytics on operational data.

Is FarEye's pricing published?

No. The available FarEye pages contain no price list, seat tiers or plan comparison; every commercial call to action is 'Book a meeting' or 'Let's talk to our experts'. Buyers should expect quote-based enterprise pricing and should ask for implementation and integration scope in the same conversation.

What compliance certifications does FarEye hold?

FarEye's security page states that protection of customer, partner and employee data is critically important and lists an information security policy, a business continuity plan, an enterprise support plan and partner portal terms. It does not name any certification such as SOC 2, ISO 27001, HIPAA or FedRAMP, so certification status must be confirmed directly with the vendor before contract.

Does FarEye use AI, and how is customer data handled for AI?

FarEye markets itself as an 'AI-powered delivery management platform' and tags an 'AI Route' topic in its resource library, but the pages reviewed do not document specific AI features, which model providers are used, whether models are vendor-supplied or bring-your-own, or whether customer data is used for model training. Treat all AI data-handling claims as unverified and request written terms.

How long does implementation take?

FarEye does not publish an implementation timeline. It is an enterprise platform that connects to order, carrier and telematics systems, and the site's enterprise support plan language implies a vendor-assisted rollout. Plan for a multi-month program and require a defined pilot scope and success criteria in the contract.

Which industries does FarEye target?

Its published case studies concentrate on logistics and 3PL/courier networks, retail (grocery, e-commerce, big & bulky), healthcare and pharma distribution, and manufacturers delivering large goods direct to consumers. There is no evidence of targeting education, government or professional services.