The yardstick for AI in logistics and supply chain - calibrated for your sub-segment and your stack.

How we test, score, and publish

Yardstick Research is an independent software research and consulting agency for B2B AI tools. We test the tools ourselves, score them on outcomes that matter, and publish the results. Methodology in plain sight, so any operating committee or board can check our work. For asset-based carriers, LTL and parcel operators, 3PLs and freight brokers, freight forwarders, warehouse operators, last-mile operations, and shipper-side logistics teams, we weight Data Readiness and Team & Workflow heavily because in logistics the integration spine (Transportation Management System, Warehouse Management System, real-time visibility, ERP, EDI versus API channels) decides what AI you can actually deploy, and the operations team that owns the workflow decides whether it sticks. Here's how that actually happens:

1. 01

   We evaluate every logistics vendor on this list using public information and free-tier hands-on.

   Our researchers evaluate each vendor on the list using a defensible mix of inputs: vendor documentation and pricing pages, free-tier or trial-seat hands-on where the vendor offers one, video walkthroughs, third-party reviews (G2, Capterra, Gartner Peer Insights), published carrier and shipper case studies, practitioner discussion (LinkedIn, FreightWaves, Journal of Commerce, Manifest coverage), and recent funding and news coverage. Where we can sign up and exercise the product directly, we do, and grade the output against a sample workflow: in the logistics case, a lane-pricing pass through a tool like Greenscreens.ai or DAT iQ, a predictive estimated-time-of-arrival exception cycle through Project44 or FourKites, a freight-bill audit run through Cass, US Bank, nVision, AFS, or Trax, or a warehouse labor-planning model. We do not pay for paid tiers and we do not run a held-out network-optimization benchmark through every tool. Both are cost-prohibitive at the scale this guide covers.

   Every claim in a tear-sheet is labelled MEASURED (free-tier hands-on observation, or output graded against a sample workflow), ESTIMATED (cost-per-seat efficiency derived from the vendor's pricing page and feature limits), or CITED (vendor-published or third-party benchmark, with the source linked).

2. 02

   We score on outcomes buyers care about, with weights we publish.

   Vendor decks sell features. Logistics operators actually buy outcomes: cost per mile, per load, and per package that drops materially, on-time-in-full that lifts, driver turnover that bends, and a stack that survives SOC 2, C-TPAT / AEO, TSA IACSP, FMCSA CSA, FSMA traceability, and GDP-pharma review. We score five dimensions: Strategy & Use Cases, Data Readiness, Tool Stack, Team & Workflow, and Budget & Procurement. Industry benchmarks for mature logistics operators sit at 55 / 50 / 45 / 55 / 55 percent of each dimension's maximum. The dimensions and benchmarks are public so your board can defend the pick, and so vendors can't quietly negotiate them. The audit also captures your operating baselines (on-time-in-full rate, cost-per-mile, cost-per-package, cost-per-pallet, and driver turnover) and fans return-on-investment scenarios out per selected baseline.

3. 03

   We publish. Vendors check facts. Affiliate links are disclosed.

   Every vendor receives their scored tear-sheet seven days before publication and can flag factual errors (wrong pricing tier, misquoted feature, integration listed as native that's actually via a third party). Rankings can't be appealed; only factual corrections are accepted. Where the guide links to a vendor's product, that link may earn us a commission. Disclosed on every page where the link appears. Vendors do not pay for inclusion, placement, or ranking.