Freightos Ltd (CRGO)
The founding of Freightos Ltd (CRGO) reflects a specific inefficiency that persisted in global commerce despite decades of containerization and digitalization: the international shipping-container market remained opaque, fragmented, and negotiated bilaterally between shippers and freight forwarders with no transparent price discovery mechanism. When Freightos was founded in Israel in 2011, a company seeking to ship containers from Shanghai to Rotterdam negotiated rates with multiple freight forwarders, each quoting different prices based on their own capacity, relationships, and booking rhythms. There was no market-wide view of available capacity or fair pricing; no mechanism for a shipper to efficiently match its shipment needs with available supply. Freightos identified this inefficiency and built a technology platform to create what the ocean freight market had never possessed: a real-time, transparent, algorithmic pricing system that revealed true supply and demand. What began as a pricing transparency tool evolved into a software-as-a-service platform fundamentally reshaping how international freight is bought and sold.
Freightos’ founding moment captures a paradox about the digital transformation of supply chains. By 2011, most manufacturing had shifted to Asia, and containers moved in the billions annually across oceans and rail networks. Yet the mechanisms for pricing and allocating those containers remained largely unchanged from the 1970s: phone calls, spreadsheets, email negotiations, long-standing shipper-forwarder relationships that perpetuated information asymmetry and locked in pricing power.
The Pricing Opacity Problem
International ocean freight pricing operates in layers of intermediation that obscure true cost. A shipper (a manufacturer or exporter) typically does not deal directly with a shipping line. Instead, it contracts with a freight forwarder or non-vessel-operating common carrier (NVOCC), who in turn contracts with shipping lines for container space. Each intermediary takes margin, and each layer reduces information flowing back to the shipper about what price would be paid for the same shipment through a different route or at a different time.
This opacity created pricing power for intermediaries. A freight forwarder with long-standing relationships at a shipping line could offer its customers rates that reflected the forwarder’s volume discounts and relationship leverage, not necessarily transparent market rates. A shipper attempting to optimize costs faced substantial search and transaction costs to discover alternatives.
Freightos’ insight was that this market structure was a problem waiting for a technology solution. If the company could aggregate shipping capacity and shipper demand into a single platform, pricing could be discovered algorithmically. A shipper could specify a lane (origin and destination port), container type, and desired departure date, and the system would display available options and prices in real time.
The Digital Freight Marketplace Model
Freightos built a two-sided marketplace connecting shippers and freight providers. On one side, shippers post shipment requirements (weight, container type, port pair, urgency). On the other side, shipping lines, NVOCCs, and freight forwarders post available capacity and prices. The platform’s algorithm matches supply and demand, providing both sides with price discovery and execution.
This model creates several advantages over traditional bilateral negotiation. First, pricing becomes transparent and competitive: multiple providers compete to win shipments, driving rates toward marginal cost rather than toward whatever forwarder margin the shipper happened to accept. Second, execution becomes faster: a shipper can book and confirm a shipment in minutes rather than days of email and negotiation. Third, the platform generates data about pricing patterns, which the company could monetize through analytics and premium features.
The business model itself is software-as-a-service (SaaS): Freightos collects transaction fees from bookings facilitated through its platform, and premium subscription fees from shippers and forwarders who pay for enhanced features, analytics, and integration with back-end systems. This creates recurring revenue and exposure to transaction volumes in global trade.
Network Effects and Market Power
Freightos’ value to users increases as the platform’s user base grows. A shipper finds more competition among freight providers on a platform with many providers; a provider finds more shipment opportunities on a platform with many shippers. This creates network effects: the largest platform attracts the most participants, which attracts more participants, which makes the platform more valuable.
These network effects, if strong enough, confer durable competitive advantage. A startup trying to compete with Freightos by building a new freight marketplace must simultaneously convince shippers and freight providers to switch to a platform with fewer participants. This switching cost is formidable and grows as Freightos’ user base expands.
However, network effects in freight markets are tempered by the reality that freight forwarders and shipping lines are sophisticated operators with existing systems, relationships, and integration points. A platform only captures transactions if it can integrate seamlessly with existing enterprise systems and provide superior execution and pricing relative to traditional channels. Perfect technology is necessary but not sufficient; the platform must also overcome incumbents’ entrenched positions and switching costs.
The Shipper Dependency and the Integration Challenge
Freightos’ growth depends on shipper adoption. A shipper that sees real cost savings through price discovery and faster booking has incentive to use the platform. Shippers range from small exporters making occasional shipments to multinational manufacturers shipping continuously.
Large shippers present a particular challenge: they often have established freight procurement relationships, volume discounts, and back-end integration with their enterprise resource planning (ERP) systems. Convincing a large shipper to shift some or all of its shipments to a new platform requires demonstrating tangible savings and seamless integration. This requires a longer sales cycle and customer-success team focused on integration and optimization.
Smaller shippers, conversely, may lack the sophistication to use a digital platform effectively, preferring to rely on a trusted freight forwarder even at higher cost. Freightos’ initial market penetration likely came from mid-market shippers: large enough to value cost optimization and capable of using digital tools, but not so large as to have secured the most favorable rates through traditional negotiation.
Global Trade and Currency Exposure
Freightos’ business is inherently global: shipping lanes connect ports across continents, and pricing is negotiated in multiple currencies. The company’s own reporting currency is likely the US dollar, but shipments may be priced in euros, yuan, or other currencies. This creates foreign-exchange exposure on both revenue and operating costs.
Additionally, Freightos’ earnings-per-share and free-cash-flow fluctuate with global trade volumes. When international commerce slows—due to recessions, trade barriers, or supply chain disruptions—demand for container shipping declines, transaction volumes on the platform fall, and company revenue contracts. The company has zero control over these macro cycles; it can only ensure its platform captures the maximum share of whatever trade occurs.
The Continuing Innovation
Freightos’ origin as a price-discovery platform for ocean freight has expanded to include land transport, air freight, and integration with ancillary services (customs clearance, insurance, documentation). Each expansion replicates the same logic: identify an information asymmetry or inefficiency in freight pricing, build a platform to reveal true supply and demand, and capture transaction-based revenue.
The company’s competitive moat rests on network effects and data: as more participants use the platform, pricing data becomes richer, analytics become more sophisticated, and the platform becomes more valuable. Yet this moat requires continuous investment in features, integrations, and market expansion to remain defensible against new entrants or incumbent disruption.