Recognized in the 2026 Gartner® Magic Quadrant™ for TMSNiche Player · 3rd consecutive yearRecognized in the 2026 Gartner® Magic Quadrant™ for TMSNiche Player · 3rd consecutive yearPOST & PARCEL CARRIERS
Parcel volumes are growing but margins aren't. The gap is in every manual depot process, every WISMO call, every failed first attempt. Shipsy closes every one of them and opens new revenue lines you couldn't run before.
THE CHALLENGE
The gap is in every manual depot process, every WISMO call, every failed first attempt — quietly widening between growth and margin.
END-TO-END COVERAGE
First mile to last — planning, execution, finance and control, unified on one AI-native platform.
REDUCE COST-TO-SERVE
From route planning to settlement, every manual, friction-filled process replaced with intelligent automation that acts, not just reports.
POWERED BY AGENTFLEET
Purpose-built agents that take real work off your teams — bounded autonomy, governance and auditability built in. Humans step in only on exception.
Guides drivers, sequences stops and captures proof of delivery across the last mile.
UNLOCK NEW REVENUE
A structured path to scale — capture demand, expand segments, then launch new bets. Each tier compounds on the same operational backbone.
PROVEN AT SCALE
Customer Spotlight
The operators running their businesses on Shipsy — on camera, unscripted.
Scaling SEA’s largest air-logistics network with AI.
See it in action
Case Study
FAQ
Shipsy attacks cost at every layer: AI-driven zoning and route optimisation reduce distance and time, guided loading cuts depot dwell time by up to 60%, sharp predict windows reduce failed attempts by 15–20%, and autonomous settlements eliminate manual invoice processing. The combined effect is measurable cost-to-serve reduction across the entire delivery chain.
Microcluster routing generates AI baseline clusters from historical delivery patterns, then captures driver-preferred areas, parking spots, and access points through in-app validation. New drivers inherit this knowledge from day one, cutting onboarding time by 45–50% and reducing reliance on individual driver memory.
CT Agent continuously monitors operations, detects delays and exceptions, and orchestrates resolution by prioritising alerts, triggering workflows across agents (CX Agent for support, Ops Agent for drivers, Finance Agent for settlements), and escalating to human supervisors when needed. It reduces problem resolution time by 65%.
Yes. The platform enables premium same-day delivery, PUDO/locker networks, cross-border expansion, IoT-powered specialised services (cold chain, pharma), and dark-store fulfilment, each as a new revenue line running on the same operational backbone.
Shipsy integrates with scan-sort systems, HHT devices, and existing TMS/ERP platforms via API. The depot sorter app links load-balanced zones with cage metadata and loading groups. No changes to physical depot layout required.
A leading express operator in Eastern Europe achieved $37M in annual savings across 300+ drivers and 300M shipments, with delivery window adherence going from 30% to 90%+. Working hour savings of 6–7% were realised across 175M+ stops at a national scale.
Logistics is too critical for reactive systems. The world’s leading enterprises are amplifying their teams with AI that acts, so their people can focus on what matters most.