
51 - 200 employees
Founded 2017
🤖 Artificial Intelligence
📦 Logistics
☁️ SaaS
💰 $30M Series B - Raft on 2023-07
Artificial Intelligence • Logistics • SaaS
Raft is an agentic AI platform for supply chain and logistics. It centralizes fragmented supply-chain data into a single source of truth, enables rules-driven workflows, and deploys customizable AI agents that autonomously execute shipment lifecycle tasks (e. g. , customs preparation, AP matching, ETA tracking) for freight forwarders, customs brokers, and trade finance teams. The company emphasizes secure, auditable automation integrated with TMS and operations systems and cites outcomes such as 20M+ tasks completed by AI agents, 5M+ shipments processed per year, and $150M+ savings delivered.
🔥 29 minutes ago
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51 - 200 employees
Founded 2017
🤖 Artificial Intelligence
📦 Logistics
☁️ SaaS
💰 $30M Series B - Raft on 2023-07
Artificial Intelligence • Logistics • SaaS
Raft is an agentic AI platform for supply chain and logistics. It centralizes fragmented supply-chain data into a single source of truth, enables rules-driven workflows, and deploys customizable AI agents that autonomously execute shipment lifecycle tasks (e. g. , customs preparation, AP matching, ETA tracking) for freight forwarders, customs brokers, and trade finance teams. The company emphasizes secure, auditable automation integrated with TMS and operations systems and cites outcomes such as 20M+ tasks completed by AI agents, 5M+ shipments processed per year, and $150M+ savings delivered.
• Proactively leverage data from existing sources to identify customer risks or opportunities for growth. • Track and analyze data to inform actionable insights to improve individual customer outcomes and escalate trends as needed. • Handle customer issues effectively without much support, demonstrating expertise in troubleshooting and navigating tools like Jira, HubSpot, and Gainsight. • Maintain historical data and ensure a seamless experience across all customer touchpoints. • Share customer challenges and successes with cross-functional teams, such as Product and Engineering. • Lean on AI for customer health scoring, usage pattern analysis, and proactive outreach recommendations. • Regularly communicate customer feedback to internal teams and participate in QA processes by identifying user experience gaps.
• Must have the legal right to work in Australia.
• The ability to build strong initial relationships with stakeholders in mid-market customer organizations. • A mindset to strive for enhancing the customer experience by identifying small improvements that can have a big impact. • The ability to handle challenging conversations professionally and with empathy, focusing on maintaining trust. • A collaborative spirit, actively participating in internal forums like standups or Slack and sharing knowledge with teammates.
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