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Saudia Cargo becomes first carrier to roll out cargo.one AI workers for sales operations

Saudia Cargo deployed cargo.one's AI sales workers to handle inbound quotes. The system cuts turnaround time by 68% with 89% first-attempt accuracy.

1 min read
Sales

Saudia Cargo has become the first carrier to deploy cargo.one's latest AI sales workers at scale, handling inbound requests for quotations 24/7 and cutting quote turnaround time by 68%. The AI-generated responses achieve 89% accuracy on the first attempt, allowing the airline's sales teams to shift their energy toward specialist shipments and customer-facing activities that drive revenue.

How the AI workers operate

The workers run on cargo.one's AI-native operating system, built specifically for logistics sales workflows. They respond to RFQs within seconds, eliminating the manual back-and-forth that slows down booking pipelines. Because the system is tuned to the carrier's own standards and processes, quotes require minimal human review before reaching the customer.

Sales strategy meets automation

Turhan Özen, chief commercial officer of Saudia Cargo, described the rollout as "an important addition to Saudia Cargo's digital transformation and sales strategy" that equips teams with "reliable industry-specific AI workers, engineered to our exact standards and processes." He said the carrier expects sharper efficiency, improved customer experiences, and stronger competitive standing as a result.

cargo.one founder and co-CEO Moritz Claussen said that "when built on the best data foundation, AI workers contribute huge value" to a carrier's sales operation. He added that customers like Saudia Cargo are reaping the benefits of logistics-specific AI investments, gaining "massive efficiency gains and improved execution."

Why this matters for sales

For sales professionals, cargo.one's AI workers are a concrete example of AI Agents & Automation taking over repetitive quotation tasks. Instead of spending hours on standard RFQs, reps can focus on complex negotiations, relationship management, and high-margin specialist cargo - the work that directly influences win rates and deal size. This shift underscores how AI for Sales is moving from experimental pilots to operational reality, changing the day-to-day rhythm of commercial teams.

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