Shipsy
Shipsy: Business Model Canvas
The nine-block Business Model Canvas, filled in only where a public source states it — empty blocks mean we haven't found a citable fact yet, not that the answer is zero.
Value Propositions
Shipsy positions itself as a shift from 'Systems of Record' (platforms that report) to 'Systems of Action' (platforms that decide) — enterprise TMS/WMS powered by AI agents that plan, execute, track and settle across the operation.
sourceShipsy's pitch is that 10x shipment volume doesn't require a 10x operations team, since AI agents absorb repeatable work while humans focus on exceptions and strategy.
sourceShipsy advertises a 23% average cost reduction across transportation spend, 20%+ driver productivity lift, 70% reduction in 'where is my order' contacts, and up to $27M in documented annual savings for a single operator.
sourceShipsy frames its engagement model as embedding with customers (diagnose, quantify ROI, then deploy and scale) rather than selling software and leaving, with phased rollout on the live platform instead of a throwaway pilot.
sourceFour named AI agents — Clara (voice-first customer experience), Astra (driver operations), Nexa (financial/settlement operations) and Vera (dispute resolution) — handle specific operational functions with governance, RBAC and audit trails.
sourceCustomer Segments
National postal operators processing tens of millions of parcels, alongside courier/express networks, are named as a core segment on Shipsy's own customers page.
sourceFreight forwarding companies managing multi-modal, cross-border shipments are listed as a target industry on Shipsy's site.
sourceRetail and quick-commerce/grocery operators use Shipsy for last-mile and delivery orchestration; Shipsy lists Retail and Quick Commerce as target industries.
sourceGlobal FMCG brands running complex multi-modal supply chains, plus automotive and process manufacturing companies, are named as target industries.
sourceNamed enterprise customers include The Coca-Cola Company, Heineken, Aramex, Nippon Express and Decathlon, spanning Europe, the UK, Australia, the Middle East, the Americas and India.
sourceShipsy states it serves 250+ enterprise customers across 30+ countries, processing 5 billion+ shipments annually through 240+ carrier integrations.
sourceCustomer Relationships
Shipsy describes its relationship model as: "We don't sell software and leave. We embed, co-create, and stay accountable to measurable outcomes," via a Diagnose → Quantify → Deploy & Scale process.
sourceShipsy's FAQ states ongoing support includes dedicated customer success managers, 24/7 technical support, quarterly business reviews, and continuous platform optimisation.
sourceShipsy reported enterprise net revenue retention of 158% and said average new enterprise contract values rose more than fourfold, from around $71,000 to nearly $300,000, indicating a relationship model built around land-and-expand.
sourceChannels
Shipsy's site drives visitors to 'Request a Demo,' and describes a sales motion that starts with a time-and-motion diagnostic study and a CFO-ready ROI case before any deployment.
sourceShipsy publishes on-camera, unscripted customer video testimonials (e.g. Teleport, Maldives Post, GMG, Wellness Forever) and written case studies/insights content as a trust-building channel.
sourceShipsy runs invite-only executive events, e.g. a 'Limitless CXO Roundtable' in Johannesburg (5 August 2026) on agentic AI in logistics.
sourceShipsy's website references a partner program for resellers and integrators as part of its go-to-market alongside direct sales.
sourceShipsy promotes its inclusion in the Gartner Magic Quadrant for TMS (3rd consecutive year) as a credibility/visibility channel on its homepage.
sourceKey Activities
Continuous development of AgentFleet's AI agents (Clara, Astra, Nexa, Vera) and the underlying TMS/WMS platform, including pre-launch testing of agents against 500+ simulated conversations scored by an LLM-as-judge before go-live.
sourceShipsy runs a structured onboarding motion: a time-and-motion diagnostic study, a CFO-ready ROI case, then phased deployment and scaling on the live platform; most enterprise deployments go live within 8–12 weeks.
sourceShipsy operates infrastructure processing 5 billion+ shipments annually across 30+ countries for 250+ enterprise customers.
sourceKey Resources
A fleet of purpose-built AI agents — Clara, Astra, Nexa, Vera — that Shipsy describes as its core AI workforce, each handling a distinct operational role (CX, driver ops, financial ops, disputes).
sourceShipsy's transportation and warehouse management platform integrates with 240+ carrier partners and has processed 5 billion+ shipments annually, per its own site.
sourceShipsy states it has been recognised in the Gartner Magic Quadrant for TMS for three consecutive years, which it uses as a key market-credibility asset.
sourceKey Partnerships
Shipsy's cap table includes DTDC Express (2016 stake purchase), Sequoia Capital India's Surge and Info Edge (Series A and continuing Series B investors), and Series B co-leads A91 Partners and Z3 Partners.
sourceAramex signed a Master Services Agreement with Shipsy in April 2025 to power Aramex Same Day Delivery and trial Shipsy's Workforce and Territory Optimization solution — an example of a customer relationship structured as a deeper technology partnership.
sourceShipsy's platform integrates with 240+ carrier partners as part of its Multi-Carrier Management offering.
sourceRevenue Streams
Shipsy monetizes its TMS/WMS platform and AgentFleet AI agents via enterprise contracts; the company crossed $25 million in Annual Recurring Revenue (ARR) as of the May 2026 announcement, more than doubling in just over a year.
sourceShipsy reported enterprise net revenue retention of 158% and said average new contract values increased more than fourfold, from around $71,000 to nearly $300,000, indicating growing revenue per account over time.
sourceCost Structure
Shipsy's legal entity Llama Logisol Private Limited reported total expenses of ₹85.8 Cr against revenue of ₹60.5 Cr in FY24 (FY23-24), resulting in a net loss of ₹19.9 Cr and a -32.9% net profit margin, consistent with continued investment in R&D and go-to-market ahead of profitability.
sourceIn a 2016 profile, Shipsy's founders indicated the company was generating revenue but prioritising R&D spending ahead of profits, with a 25-person team at the time including engineers from IIT Madras and Delhi.
sourceFAQs on Shipsy
What is Shipsy's business model?
Shipsy's core value proposition centers on AI that runs logistics, not just reports on it, Scale that decouples from headcount, Measurable cost and productivity outcomes, Outcomes-as-a-service accountability.
How does Shipsy make money?
Shipsy's cited revenue streams include Enterprise SaaS subscription revenue, Expansion revenue from existing accounts.