OUR CUSTOMERS
150+ Global Customers across 30+ countries, from national postal operators processing 74 million parcels to global FMCG brands running complex multi-modal supply chains.
Our customers, in their own words
The Problem
Every customer came to Shipsy because dashboards and reports weren't enough. They needed systems that execute: reducing costs, improving productivity, and delighting customers.
Not a pilot that works but can't scale. Enterprise operations need a platform proven at 5Bn+ shipments annually across 30+ countries.
Not AI that suggests. Not AI that recommends. AI agents that observe, decide, and execute, with governance and audit trails.
From vendors that promise → to a partner that delivers.
How We Work
Not license-and-leave. We embed, co-create and stay accountable to outcomes.
A time-and-motion study maps your tasks, volumes, KPIs and friction points — so we target the work that matters.
A CXO-ready ROI model, quantified before any commitment is made.
First agent live in 2–3 weeks — a close-room pilot on the real platform, not a throwaway PoC.
Forward Deployed Engineers embed inside your operation — co-creating, not handing over a manual.
30-day measurable results, continuous evaluation, and Outcomes-as-a-Service accountability.
Proven Results
FAQ
National postal operators, global courier networks, FMCG/CPG brands, retailers, freight forwarders, automotive companies, and quick commerce operators, all at enterprise scale.
Most enterprise deployments are live within 8–12 weeks. We use a phased approach starting with a pilot and scaling based on proven results.
Dedicated customer success managers, 24/7 technical support, quarterly business reviews, and continuous platform optimisation based on your evolving requirements.
Typical results include 10–23% cost per shipment reduction, 15–20% driver productivity improvement, and 40–50% reduction in manual settlement effort, with outcomes quantified before deployment.
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.