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.
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.
The Solution
We don't sell software and leave. We embed, co-create, and stay accountable to measurable outcomes.
Detailed time and motion study mapping tasks, volumes, KPIs, and friction points. Business case built before any demo.
CFO-ready ROI showing where you are vs best-in-class and the path to get there. Outcomes defined before deployment starts.
Phased rollout on the real platform, not a throwaway PoC. Continuous evaluation and reduced supervision as confidence grows.
POWERED BY AGENTFLEET
Every customer deployment leverages AgentFleet: AI agents that reduce manual effort, accelerate resolution, and deliver measurable outcomes from week one.
Learn about AgentFleet →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.