Logistics Software Buyer's Guide for Supply Chain Teams

How to choose the right logistics platform without overbuying, under-implementing, or getting trapped in a demo-driven decision.

Updated 2026-09-09 · 18 min read

Who This Guide Is For

You need this guide if you are any of the following:

  • VP of Supply Chain / Logistics
  • You’re accountable for freight cost, service levels, carrier performance, and exception handling.
  • Your pain: too many systems, too little visibility, and no clean way to connect planning with execution.
  • You care about whether a tool actually reduces expedites, detention, and manual work—not whether the dashboard looks pretty.
  • Director of Transportation / TMS Owner
  • You run planning, tendering, routing, freight audit, and shipment visibility.
  • Your pain: fragmented mode coverage, weak carrier connectivity, and exceptions that still need human babysitting.
  • You need a system that fits your freight profile, not a generic “digital supply chain” pitch.
  • Head of Logistics for a 3PL or 4PL
  • You manage customer-specific rules, billing, multi-client workflows, and carrier coordination.
  • Your pain: margin leakage, invoice disputes, and constant configuration requests from customers.
  • You need a platform that can scale operations without turning your team into a custom development shop.
  • Supply Chain Systems / Transformation Leader
  • You’re responsible for systems selection, integration, and process redesign.
  • Your pain: vendor overlap, integration debt, and implementations that drag on for months because master data is a mess.
  • You need a grounded view of what belongs in TMS vs visibility vs trade compliance vs warehouse adjacent tooling.

You should not read this guide if:

  • You only need a basic label-printing tool for a small parcel operation.
  • You are shopping for a warehouse management system first, and logistics is secondary.
  • You want a single “best” vendor regardless of freight complexity, geography, or operating model.
  • You are not prepared to spend time on data cleanup, carrier mapping, and process standardization.

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What Logistics Software Does

Logistics software is the system layer that helps you plan, execute, monitor, settle, and improve movement of goods. In practice, it usually spans transportation management, shipment visibility, freight audit, route optimization, trade compliance, yard coordination, and sometimes 3PL billing or fulfillment network management.

If you buy the wrong thing, you end up with:

  • A visibility tool that can’t change execution decisions
  • A TMS that can’t handle your lanes or modes
  • A trade platform that doesn’t talk to your ERP
  • A “network” platform that only gives you dashboards and more alerts

Before vs. After

AreaBefore Logistics SoftwareAfter Logistics Software
Load planningManual spreadsheets, tribal knowledge, repeated reworkAutomated optimization by mode, cost, service, and constraints
Carrier tenderingEmail, phone calls, EDI gaps, slow responsesRules-based tendering with fallback logic and carrier scoring
Shipment visibilityReactive “where is it?” calls from customers and opsReal-time milestones, predictive ETAs, exception alerts
Freight audit and paymentInvoice disputes, duplicate charges, missed accessorialsAutomated matching, rate validation, faster approvals
Trade complianceCustoms forms, HTS checks, and document chasing in different systemsCentralized trade rules, document workflows, filing automation
Yard and dock coordinationCongestion, missed appointments, detention riskSlot booking, yard visibility, arrival sequencing
Network performanceLagging monthly KPIs, no root-cause insightLane, carrier, and mode analytics tied to actual outcomes
Customer communicationStatus emails built by peopleAutomated visibility sharing and exception notifications

The business case, in dollars

A mid-market shipper spending $12 million annually on freight does not need a miracle to justify software.

A realistic savings stack looks like this:

  • 2% freight cost reduction from better routing, consolidation, and carrier selection = $240,000
  • 1% fewer expedited shipments through better ETA prediction and exception handling = $120,000
  • Freight audit leakage recovery of 0.5% = $60,000
  • Labor savings of 1.5 FTE from automation of tendering, tracking, and reconciliation = roughly $120,000–$180,000
  • Detention/demurrage reduction from better appointment and yard management = $50,000–$150,000

That’s $590,000 to $750,000 per year in value on a $12 million freight base.

The catch: these savings only happen if the system is actually adopted and connected to your operational data. A flashy platform with poor master data and weak integrations will not deliver the math above.

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Market Landscape 2026

The logistics software market in 2026 is not one market. It is a stack of adjacent categories that buyers often confuse:

  • Transportation Management Systems (TMS)
  • Real-time visibility and decision intelligence
  • Trade compliance and global trade management
  • Yard, dock, and terminal execution
  • 3PL billing, fulfillment, and network management
  • Ocean booking and international coordination
  • AI copilots and agentic automation layers

That distinction matters because most failed software selections come from buying the wrong category first.

What changed in 2026

1) AI is now expected, but most “AI” is still shallow

Every vendor says “AI-powered.” In reality, there are three levels:

  • Level 1: AI as marketing
  • Chat-like summaries, alert prioritization, and generic recommendations
  • Level 2: AI for automation
  • Exception triage, predictive ETAs, route suggestions, invoice matching
  • Level 3: AI for operational decisioning
  • Recommending tender actions, dynamic slotting, proactive disruption handling, carrier substitutions

Most products in the directory sit in Level 1 or 2. Very few can consistently act at Level 3 without heavy rules design and process maturity.

Newer AI-oriented entries such as Datagrid’s AI Agents for Driver Settlement and Pay Calculation and Augie by Augment point to the next wave: software that does not just report status, but executes repetitive logistics work.

Buyers should be skeptical of AI claims unless the vendor can show:

  • Exact workflows automated
  • Human-in-the-loop controls
  • Measurable cycle-time improvement
  • Error-rate reduction over at least 90 days

2) Visibility is becoming decision intelligence

Platforms like project44, Blu, and the visibility-adjacent modules from broader suites are moving beyond tracking into:

  • Predictive ETAs
  • Delay root-cause analysis
  • Network exception management
  • Dock and yard coordination
  • Emissions and tariff intelligence

This is good, but it also creates overlap. Buyers often purchase a visibility platform when what they actually need is:

  • Better transportation execution
  • Better carrier compliance
  • Better appointment scheduling
  • Better freight settlement

Visibility is valuable. It is not a substitute for operational control.

3) TMS suites are consolidating, but not converging

The enterprise TMS market remains dominated by a few serious players:

  • SAP Transportation Management
  • Oracle Transportation Management
  • Manhattan Active TMS
  • Blue Yonder Transportation Management
  • MercuryGate TMS
  • Trimble TMW
  • Descartes TMS
  • Softeon Transportation Management System
  • Oracle Logistics Cloud
  • MercuryGate International (TMS)

These platforms all claim broad mode coverage, optimization, and visibility. The difference is not feature checkboxes. It is:

  • How deep optimization goes
  • How configurable the workflow layer is
  • How well the product handles your actual freight mix
  • How much implementation work is required

Enterprise buyers should avoid choosing on logo familiarity alone. SAP and Oracle are strong when you already live inside their ecosystems, but they are not automatically the best answer for every operation.

4) Trade and compliance tooling remains highly specialized

Cross-border operations are still a pain point, which explains why products like:

  • Oracle Global Trade Management
  • Blu Global Trade Management
  • iCustoms ICS2 Module
  • iCustoms iENS Module
  • iCustoms Document Workflow Automation
  • Descartes Datamyne
  • Kinaxis Tariff Response Solution
  • project44 Tariff Tracker

exist as a separate cluster.

Buyers with international freight often make the mistake of assuming their TMS will handle all compliance needs. It usually won’t.

If your business depends on customs filing, sanctions screening, or import/export documentation, buy trade compliance first, not “nice-to-have” trade features inside a TMS.

5) 3PL economics matter more than feature depth for some buyers

Products like:

  • Softeon 3PL Billing
  • Deposco 3PL Billing
  • Extensiv Network Manager
  • Extensiv Fulfillment Marketplace
  • Extensiv Integration Manager
  • Extensiv Small Parcel Suite
  • Powered By: ShipBob
  • Shopify Fulfillment
  • Shopify Shipping

serve a very different buyer. These tools are often less about perfect transportation optimization and more about:

  • Multi-client billing accuracy
  • Carrier and channel integration
  • Fulfillment scalability
  • Parcel cost control
  • Client onboarding speed

A 3PL does not need the same thing as a global manufacturer. Too many vendors pretend otherwise.

How the landscape is structured

CategoryTypical BuyersRepresentative ProductsWhat to Watch
Enterprise TMSLarge shippers, manufacturers, global distributorsSAP TM, Oracle TMS, Manhattan Active TMS, Blue Yonder TMSImplementation complexity, optimization quality, ERP fit
Mid-market TMSGrowing shippers, brokers, 3PLsMercuryGate, Trimble TMW, Descartes TMS, Softeon TMSScalability, usability, mode coverage
Visibility / control towerShippers needing real-time shipment intelligenceproject44, Blu, traceCORE, Connection CenterSignal quality, exception noise, actionability
Trade complianceImporters/exporters, regulated industriesOracle GTM, Blu GTM, iCustoms modules, Datamyne, Kinaxis Tariff ResponseRegulatory coverage, filing automation, audit trails
Yard / dock / terminalHigh-volume DCs and terminalsproject44 Yard Visibility, Yard Management, Slot BookingAdoption at gate, appointment discipline
3PL billing / fulfillment3PLs, e-commerce fulfillment operatorsSofteon, Deposco, Extensiv, ShipBobBilling accuracy, integrations, client separation
Ocean booking and networksInternational freight teamsINTTRA by E2open, Blu Ocean Shipping Index, Supply Network DiscoveryCarrier coverage, booking workflow quality
AI automation layersOps teams trying to reduce manual workDatagrid, Augie, Tariff Response, Disruption NavigatorWhether the AI actually executes or only suggests

Short version: what the market is doing

  • Enterprise suites are still best when you need end-to-end process control.
  • Visibility platforms are best when your biggest problem is not knowing what’s happening.
  • Specialists are best when a niche problem is costing real money.
  • AI layers are useful when your processes are already clean enough to automate.

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The 8 Things That Matter Most

1) Fit to your freight complexity — 18%

Why it’s critical: A TMS that works for parcel and domestic TL may fail badly in ocean, intermodal, cross-border, or multi-leg networks.

What to evaluate:

  • Modes supported
  • Multi-leg shipment handling
  • Region/country coverage
  • Carrier collaboration depth
  • Exception workflows

What good looks like:

  • Handles your top 80% of freight types without custom work
  • Supports your real business rules, not just demo scenarios
  • Can model split shipments, transloads, and international legs

Red flag: The vendor says “we support all modes” but only demos one domestic truckload flow.

Ask the vendor:

  • Show us your handling of our hardest shipment type, not the average one.
  • What percentage of your customers use the same mode mix we do?
  • What requires customization versus configuration?

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2) Execution automation — 15%

Why it’s critical: The best systems reduce manual touches per shipment. If people still have to babysit every load, ROI collapses.

What to evaluate:

  • Tender automation
  • Exception handling
  • Auto-routing rules
  • Freight audit workflows
  • Document generation

What good looks like:

  • 30–50% reduction in manual shipment touches in the first year
  • Clear exception routing rules
  • Strong fallback logic when a carrier rejects a load

Red flag: Every exception requires human intervention and no one can explain the fallback logic.

Ask the vendor:

  • Which steps can be fully automated today?
  • What is the measurable reduction in labor for existing customers?
  • How are exception escalations handled?

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3) Visibility quality and ETA accuracy — 12%

Why it’s critical: Visibility is only useful if it changes action. Bad ETAs create more noise, not better service.

What to evaluate:

  • Tracking coverage by mode
  • ETA prediction logic
  • Milestone capture accuracy
  • Customer communication features
  • Event enrichment and root-cause analysis

What good looks like:

  • Near-real-time updates on your highest-value lanes
  • ETA accuracy improves materially versus baseline
  • Alerts are actionable, not spammy

Red flag: Hundreds of alerts, but no one can tell which ones matter.

Ask the vendor:

  • What is your measured ETA accuracy by mode?
  • How do you reduce false positives?
  • How do users act on alerts inside the platform?

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4) Integration depth — 12%

Why it’s critical: Logistics software without clean ERP, WMS, carrier, and data integrations becomes a swivel-chair tool.

What to evaluate:

  • ERP integration
  • WMS integration
  • EDI/API coverage
  • Carrier connectivity
  • Master data synchronization

What good looks like:

  • Standard connectors for major enterprise systems
  • API documentation that an internal team can actually use
  • Integration monitoring and retry logic

Red flag: The vendor calls CSV uploads an “integration strategy.”

Ask the vendor:

  • Show us your standard integrations to our core systems.
  • What breaks most often in live integrations?
  • How do you monitor failed transactions?

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5) Optimization quality — 12%

Why it’s critical: Planning logic determines whether you save freight spend or merely digitize bad decisions.

What to evaluate:

  • Load consolidation
  • Route optimization
  • Carrier selection
  • Constraint-based planning
  • Re-optimization after disruption

What good looks like:

  • Transparent logic behind recommendations
  • Configurable business constraints
  • Measurable savings versus current baseline

Red flag: Optimization outputs are opaque or impossible to explain to planners.

Ask the vendor:

  • What constraints can be modeled natively?
  • How do you prove optimization savings?
  • Can planners override recommendations and preserve auditability?

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6) Cost transparency and ROI — 11%

Why it’s critical: Many logistics platforms look affordable until implementation, integration, and support are added.

What to evaluate:

  • License model
  • Transaction fees
  • Implementation fees
  • Support costs
  • Add-on module pricing

What good looks like:

  • Clear pricing boundaries
  • Predictable annual cost growth
  • A defensible ROI model tied to freight or labor savings

Red flag: “Contact us” pricing with vague usage metrics and no hard caps.

Ask the vendor:

  • What drives cost up after year one?
  • Which features are included versus add-on?
  • What does a typical 3-year TCO look like?

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7) Implementation realism — 15%

Why it’s critical: Most projects fail in implementation, not selection.

What to evaluate:

  • Required data cleanup
  • Configuration effort
  • Change management
  • Training demands
  • Go-live sequencing

What good looks like:

  • Clear timeline by business unit or geography
  • Dedicated implementation resources
  • A realistic cutover plan

Red flag: The vendor promises a “12-week implementation” for a complex global network.

Ask the vendor:

  • What does a difficult implementation look like?
  • What are the top three causes of delay?
  • What prep work is required before kickoff?

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8) Support and product maturity — 5%

Why it’s critical: A logistics platform is operational software. If support is weak, your operation feels it immediately.

What to evaluate:

  • SLA response times
  • Named support resources
  • Product release cadence
  • Customer success quality
  • Referenceability in your segment

What good looks like:

  • Fast escalation for shipment-critical issues
  • Strong documentation
  • Regular product updates that do not break workflows

Red flag: Support is outsourced, generic, or clearly overwhelmed.

Ask the vendor:

  • Who owns support after go-live?
  • How often do you ship breaking changes?
  • Can we speak with customers similar to us?

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Use-Case Matching: Which Type of Buyer Are You?

1) Growth-stage shipper or brand

Typical profile:

  • Fast-growing e-commerce or omnichannel business
  • Freight spend rising faster than headcount
  • Team is small; manual work is exploding

What matters most:

  • Fast implementation
  • Shipping and fulfillment integration
  • Basic visibility
  • Label generation, rate shopping, and exception handling

Prioritize:

  • Shopify Shipping
  • Shopify Fulfillment
  • Extensiv Small Parcel Suite
  • Extensiv Integration Manager
  • project44 for higher-volume visibility needs

Avoid:

  • Heavy enterprise TMS suites unless your complexity genuinely demands it
  • Overbuying global trade modules you will not use

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2) Enterprise shipper with complex multi-mode freight

Typical profile:

  • Global manufacturer, retailer, or distributor
  • Multiple ERPs, WMSs, and carrier networks
  • High freight spend and many exception points

What matters most:

  • End-to-end planning and execution
  • Multi-mode optimization
  • ERP/WMS integration
  • Freight settlement
  • Trade compliance

Prioritize:

  • SAP Transportation Management
  • Oracle Transportation Management
  • Manhattan Active TMS
  • Blue Yonder Transportation Management
  • MercuryGate TMS
  • Oracle Global Trade Management
  • Oracle Logistics Cloud

Avoid:

  • Buying visibility-only tools first and expecting them to solve operational control
  • Choosing based on vendor reputation alone

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3) 3PL, broker, or freight-forwarding operator

Typical profile:

  • Customer-specific pricing, billing, and service requirements
  • Margin pressure
  • Need to manage multiple clients cleanly

What matters most:

  • Multi-client configuration
  • Billing accuracy
  • Exception handling
  • Carrier collaboration
  • Order-to-cash automation

Prioritize:

  • MercuryGate TMS
  • Trimble TMW
  • Softeon Transportation Management System
  • Softeon 3PL Billing
  • Deposco 3PL Billing
  • INTTRA by E2open if ocean-heavy
  • Extensiv Network Manager for fulfillment-led businesses

Avoid:

  • Consumer-like shipping tools
  • Platforms that cannot isolate customer rules and billing logic cleanly

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4) Regulated or cross-border logistics organization

Typical profile:

  • Import/export complexity
  • Customs documentation burden
  • Need for defensible compliance

What matters most:

  • Trade content
  • Automated filing
  • Audit trails
  • Regulatory change management

Prioritize:

  • Oracle Global Trade Management
  • Blu Global Trade Management
  • iCustoms ICS2 Module
  • iCustoms iENS Module
  • iCustoms Document Workflow Automation
  • Descartes Datamyne
  • Kinaxis Tariff Response Solution
  • project44 Tariff Tracker

Avoid:

  • Assuming a TMS can handle customs rules by itself
  • Tools with weak auditability or stale regulatory content

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Vendor Evaluation Questions

Features

  • Which transportation modes do you support natively?
  • Can you demonstrate our top three shipment scenarios end to end?
  • How do you handle split shipments, partial tender acceptance, and re-tendering?
  • What optimization logic is configurable without custom code?
  • How do you manage carrier rate agreements and accessorials?
  • Can users override automated recommendations with an audit trail?
  • What visibility events are captured automatically versus manually?
  • Do you support freight audit, payment, and dispute workflows?
  • How do you handle yard, dock, or appointment scheduling if needed?
  • What parts of the workflow are AI-assisted today?

Integration

  • Which ERP, WMS, and order management systems do you integrate with out of the box?
  • Do you support API, EDI, and batch integration simultaneously?
  • How do you monitor failed integrations and retries?
  • Can you integrate with our carrier base without custom mapping for every carrier?
  • What data must be mastered in your system versus sourced from ours?

Security

  • What certifications do you maintain today?
  • Do you support SSO, SAML, and role-based access control?
  • How are shipment, customer, and rate data segregated in multi-tenant setups?
  • How long do you retain logs and audit history?
  • Do you support data residency requirements for our operating regions?

Pricing

  • What exactly is included in the base subscription?
  • What drives pricing up over time?
  • Are transaction fees charged per shipment, lane, user, location, or module?
  • What are the implementation, training, and support costs?
  • Are visibility, optimization, and compliance modules separate SKUs?
  • What is the typical three-year total cost of ownership?

Implementation

  • What is the typical implementation timeline for a company of our size?
  • What data cleanup is required before kickoff?
  • What are the top three reasons implementations fail?
  • How many internal resources do we need to commit?
  • Will we have a named implementation lead and post-go-live support owner?
  • Can you share a recent implementation similar to ours?

Support and Operations

  • What are your SLA response times by issue severity?
  • How often do you release updates, and how are they tested?
  • What does the escalation path look like if a shipment-critical workflow fails?

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Common Mistakes to Avoid

Mistake #1: Buying visibility when you need execution

If your core problem is bad planning, missed tenders, or freight leakage, visibility alone will not fix it.

Consequence: more alerts, same bad process.

Do this instead: Define whether your primary gap is decision-making or shipment execution before looking at vendors.

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Mistake #2: Choosing based on demo polish

A clean demo often hides brutal reality: data setup, exception handling, and integration complexity.

Consequence: a beautiful pilot that fails in production.

Do this instead: Demand a demo of your messy shipment types, not the vendor’s ideal scenario.

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Mistake #3: Ignoring master data quality

Bad locations, lanes, rates, and carrier records will wreck even the best platform.

Consequence: failed automations and planner distrust.

Do this instead: Budget 2–4 weeks for data cleanup before serious configuration starts.

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Mistake #4: Underestimating change management

Logistics users often distrust automation if it changes how they work without explaining why.

Consequence: shadow systems and spreadsheet workarounds.

Do this instead: Train by role, not by module. Show users what changes in their daily workflow.

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Mistake #5: Overbuying enterprise software for a simple operation

If your freight profile is mostly parcel or domestic and your team is small, a heavyweight TMS can become expensive bureaucracy.

Consequence: six-figure software with low adoption.

Do this instead: Match the tool to the operating model. Do not buy for future complexity you may never have.

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Mistake #6: Assuming trade compliance is “included”

Many systems mention trade compliance but do not provide the regulatory depth needed for real import/export work.

Consequence: manual filings and compliance risk.

Do this instead: Validate filing coverage, content updates, audit trails, and country-specific support.

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Mistake #7: Not pressure-testing support

You will not care about support during a demo. You will care at 2 a.m. when a shipment workflow breaks.

Consequence: operational disruption and frustrated users.

Do this instead: Ask for support SLAs, escalation paths, and customer references with similar complexity.

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Mistake #8: Letting “AI” replace process design

AI can accelerate bad processes just as easily as good ones.

Consequence: faster mistakes, harder-to-debug workflows.

Do this instead: Stabilize your process first, then automate.

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Evaluation Timeline & Process

6-week evaluation plan

WeekGoalKey ActivitiesOutput
1Define scopeIdentify freight types, geographies, user groups, and must-have workflowsRequirements brief
2Clean dataReview locations, carriers, rate tables, modes, and customer recordsData readiness checklist
3Market scanShortlist 5–7 vendors by use case fitLonglist to shortlist
4RFP/demoRun structured demos using your real scenariosDemo scorecards
5Reference checksSpeak with customers in similar industries and sizeReference findings
6Commercial reviewCompare pricing, implementation, and 3-year TCOFinal recommendation

Weighted evaluation matrix template

CriteriaWeightScore (1-5)Weighted Score
Freight complexity fit18%
Execution automation15%
Implementation realism15%
Visibility and ETA quality12%
Integration depth12%
Optimization quality12%
Cost transparency / TCO11%
Support and product maturity5%
Total100%

Scoring rule:

  • 5 = excellent fit
  • 4 = strong fit
  • 3 = acceptable with gaps
  • 2 = risky
  • 1 = unacceptable

Important: Do not let a single shiny feature outweigh poor implementation fit. A vendor should not win because it has one impressive dashboard.

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Implementation Reality Check

Typical implementation timelines

Company SizeTypical TimelineWhat Usually Slows It Down
SMB6–12 weeksBad data, weak process discipline, limited internal IT help
Mid-market3–6 monthsERP/WMS integration, carrier mapping, change management
Enterprise6–18 monthsMulti-region rollout, testing, governance, legacy system dependencies

Key success factors

  • Clean master data
  • Clear process ownership
  • Dedicated internal project lead
  • Executive sponsor who actually clears blockers
  • Realistic phased rollout
  • Test plans that include exception scenarios
  • Training by role and region

What vendors won’t tell you

  • The first implementation usually reveals more process problems than software problems.
  • Your team will spend more time on exceptions and edge cases than on happy paths.
  • Integration is rarely the hardest part; data governance is.
  • A “configuration-only” project often becomes a custom build when your rules are undocumented.
  • Users will reject automation if it makes them feel blind or powerless.

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Red Flags — When to Walk Away

Red FlagWhy It's a Problem
Vendor cannot demo your actual shipment complexityThe product likely cannot handle your real operations
Pricing is vague and tied to undefined usage metricsYou will get surprised by cost growth after go-live
No clear implementation timeline by customer sizeThey either lack experience or are hiding complexity
Weak or nonexistent API/EDI documentationIntegration will become expensive and brittle
“AI” is only described in marketing termsThere is likely no measurable automation value
No customer references in your industry or freight profileFit risk is too high
Carrier or trade content is not updated frequentlyCompliance and execution accuracy will suffer
Support model is generic or outsourced without escalation pathsOperational issues will linger too long
Platform needs heavy custom code for standard workflowsMaintenance costs and upgrade risk will rise
The vendor minimizes data cleanup requirementsYour project will stall once real data hits the system

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How This Guide Was Created

This guide was created using a vendor-neutral review framework focused on:

  • Product category fit
  • Buyer use-case alignment
  • Feature depth versus implementation burden
  • Operational and commercial risk

Review date: 2026-09-09 Update frequency: Quarterly, with interim updates when major product or market changes occur.

Independence disclaimer: commercial.ai is an independent software directory. This guide is intended to educate buyers and does not represent vendor-sponsored rankings, paid placement, or preferred-provider endorsement.

Logistics solutions in the catalogue (51)

  • AI Agents for Driver Settlement and Pay Calculation by Datagrid — Automate driver settlement and pay calculation with AI agents integrating telematics, ELDs, and payroll.
  • AI Disruption Navigator by project44 — Predict, prepare, and prevent supply chain crises by identifying global disruptions and their impact.
  • Augie by Augment — AI teammate for logistics: Automate planning, tracking, and exception handling.
  • Blue Yonder Transportation Management by Blue Yonder — Optimize transportation, reduce costs, and improve service with advanced planning and execution.
  • Canada Post Shipping Method by Woo — Get real-time domestic and international shipping rates from Canada Post for your WooCommerce store.
  • Connected Solutions by PwC — Patented IoT platform to accelerate productivity and increase efficiencies for operational improvement.
  • Connection Center by project44 — Enhance supply chain integration and data exchange with a collaborative connectivity infrastructure.
  • Corcentric Fleet Solutions by Corcentric — End-to-end lifecycle management for the fleet industry.
  • Deposco 3PL Billing by Deposco — Automate and optimize billing for third-party logistics (3PL) services.
  • Descartes Datamyne by Descartes — Unlock global trade insights with the world's largest import/export data platform for supply chain optimization.
  • Descartes Routing, Mobile & Telematics by Descartes — Comprehensive fleet and mobile resource management for optimized routing, dispatch, tracking, and compliance.
  • Digital Track and Trace Systems by traceCORE — Digital Track and Trace for enhanced tax compliance and combating illicit trade across the supply chain.
  • Document Workflow Automation by iCustoms — Automate customs documentation and logistics workflows with AI to save time and resources.
  • Emissions by project44 — Measure and mitigate global supply chain emissions across all transportation modes.
  • Extensiv Network Manager by Extensiv — Build and manage collaborative 4PL networks with intelligent order routing for 3PLs.
  • Extensiv Small Parcel Suite by Extensiv — Accelerate and optimize ecommerce order fulfillment for 3PLs with automated rate-shopping.
  • FourKites by FourKites — Real-time freight visibility plus an AI Inventory Twin digital twin.
  • Global Trade Management by E2open — Streamline cross-border trade, minimize risk, and ensure compliance with global regulations.
  • ICS2 Module by iCustoms — Streamline ICS2 compliance with AI-powered Entry Summary Declarations.
  • iENS Module by iCustoms — Streamline UK Entry Summary Declarations with AI-powered compliance.
  • INTTRA by E2open by E2open — Streamline ocean freight booking, tracking, and carrier collaboration.
  • Lanesurf by Lanesurf — Voice AI for freight brokers to book shipments with vetted carriers at best prices.
  • Logistics as a Service (LaaS) by E2open — Fully staffed logistics team leveraging advanced TM technology and a Global Trade Network for optimized operations.
  • Manhattan Active TMS by Manhattan Associates — Optimize logistics and supply chain operations with intelligent, cloud-native TMS.
  • Manhattan Active Transportation Management (TMS) by Manhattan Associates — Optimize logistics and freight operations with a cloud-native TMS.
  • MercuryGate International (TMS) by High — Multimodal TMS for optimized transportation and execution, part of Körber Supply Chain.
  • MercuryGate TMS by Mercury — Optimize, automate, and execute global freight across all modes with intelligent transportation management.
  • Ocean Shipping Index by E2open — Real-time insights into ocean shipping trends and supply chain movements.
  • Oracle Cloud Infrastructure (OCI) by Oracle — Optimize global freight, streamline logistics, and enhance supply chain efficiency with Oracle Transportation Management.
  • Oracle Global Trade Management by Oracle — Automate and streamline global trade compliance and logistics for unparalleled visibility and control.
  • Oracle Logistics Cloud by Oracle — Modern logistics and trade management for transportation, global trade, and distribution.
  • Oracle Transportation Management by Oracle — Optimize global logistics, reduce costs, and enhance service with intelligent transportation management.
  • Powered By: ShipBob by ShipBob — White-labeled fulfillment technology and logistics infrastructure for other 3PLs.
  • project44 by project44 — The AI-powered Decision Intelligence Platform for confident supply chain decisions and autonomous logistics.
  • Sales Order Collaboration by E2open — Automate order-to-cash and streamline workflows for end-to-end sales order visibility and efficiency.
  • SAP Transportation Management by SAP — Optimize global transportation, reduce costs, and enhance supply chain resilience.
  • Shopify Fulfillment by Shopify — Outsource fulfillment and returns with Shopify's trusted 3PL partner network.
  • Shopify Shipping by Shopify — Manage shipping, create labels, and save on rates directly from your Shopify store.
  • Slot Booking by project44 — Optimize facility operations by managing and scheduling appointment slots efficiently.
  • Smart Conveying Solutions by Boton — Green and intelligent conveying solutions for industrial bulk material handling.
  • Softeon 3PL Billing by Softeon — Accurate 3PL billing for storage, services, and logistics, ensuring precise revenue capture.
  • Softeon Transportation Management System (TMS) by Softeon — Optimize the planning and execution of goods movement across your supply chain.
  • Softeon Yard Management by Softeon — Manages and optimizes the movement of trailers and inventory within a facility's yard.
  • Supply Network Discovery by E2open — Discover sub-tier suppliers to meet compliance and strengthen supply assurance.
  • Tariff Response Solution by Kinaxis — Intelligent supply chain planning to adapt to tariffs and trade changes.
  • Tariff Tracker by project44 — Stay informed about daily tariff changes and their impact on global trade.
  • Transportation Management (TMS) by E2open — Plan, execute, and track multimode shipments across various transportation modes.
  • Trimble Earthworks by Trimble — Precision machine control for excavators and dozers, boosting construction productivity.
  • Trimble TMW by Trimble — Optimize transportation operations, reduce costs, and gain real-time visibility with an AI-powered TMS.
  • Yard Management by project44 — Optimize yard operations with real-time visibility, automated workflows, and reduced truck detention.
  • Yard Visibility by project44 — Gain real-time visibility into yard operations and asset movements.

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