Scorpa's Tech @ Sea

Rippey AI: Revolutionizing Maritime Logistics with Conversational AI Automation

4–6 minutes

Image Credit: rippey.ai

Maritime logistics operators face critical bottlenecks in responding to quote inquiries, processing voyage documents, and coordinating shipments often relying on slow, error-prone manual systems. Without automation, back-office teams are frequently overwhelmed, leading to inconsistent service levels and operational delays that ripple across the entire supply chain.

Rippey AI (formerly RPA Labs) was founded in 2019 in Louisville, Colorado to address recurring inefficiencies in logistics workflows especially those driven by manual document processing, email-based quote handling, and back-office operations. 

In maritime logistics, freight forwarders and ship management teams are inundated with repetitive inquiry emails, voyage documentation, and data re-entry. Response turnaround can extend to multiple days with one Rippey-posed study finding only ~31% of freight forwarders responded to quote requests, averaging 50 hours per reply. Improving response speed and accuracy is particularly critical for maritime operations, where delays incur financial penalties, weaken client trust, and impair crew and cargo scheduling. Rippey AI was founded in 2019 by Matt Motsick, who serves as CEO. With a background in robotic process and logistics automation, Motsick has led the company from an RPA-based startup into a full-stack AI automation firm

Rippey AI (formerly RPA Labs), raised approximately $3.59 million in a Seed round on August 30, 2023, according to filings. Data from PitchBook estimates that Rippey AI has raised a total of around $4.79 million across multiple financing rounds. Lead and notable early investors include Counterpart Ventures, Global eTrade Services, LFX Venture Partners, PSA Unboxed, as well as Bluewater Companies, among others.

Rippey AI’s platform helps freight forwarders, carriers, NVOCCs, and maritime shipping companies by automating:

  • Document processing: splitting, extracting, indexing bills of lading, customs papers, shipping documents, reducing manual burden by up to 80%.
  • Email/chat response automation : handling quote requests, booking confirmations, tracking inquiries; high-volume responses in under 30 seconds, versus hours or days.

The platform enables operations teams to redirect effort from repetitive tasks to strategic decision-making, improving turnaround, crew planning, charter scheduling, and customer service.

Image Credit: uikreative.com

Rippey AI’s technology operates through an integrated AI platform that combines natural language processing (NLP), machine learning (ML), robotic process automation (RPA), and optical character recognition (OCR) to streamline logistics workflows particularly in maritime and freight forwarding operations. 

When an email or document (e.g., a quote request or a bill of lading) is received, the system identifies the intent using NLP, extracts key variables like container size, location, and timing, and then automatically generates a response or action such as quoting a shipment rate or filing documentation. This automation occurs in real-time, enabling seafarers, logistics teams, and shipping companies to respond to clients within seconds rather than hours. The platform is deployed as a cloud-based SaaS, easily integrating with transportation management systems (TMS), customer relationship management (CRM), and enterprise resource planning (ERP) tools, making it accessible and configurable even for non-technical users in maritime organizations.

Rippey AI has demonstrated its impact in use cases across the maritime and logistics sectors, particularly in automating customer-facing operations such as quote generation, booking confirmations, and document processing. In one study cited by SDC Executive, Rippey AI reduced average freight quote response times from over 50 hours to under 30 seconds, dramatically increasing customer satisfaction and conversion rates. A notable case involved a partnership with Primus Solutions, where Rippey AI was integrated into their TMS to automate routine communication and accelerate workflows for freight forwarders and carriers. Another significant use case is Rippey AI’s collaboration with PayCargo to automate invoice processing and payment execution, helping maritime and logistics companies streamline their financial operations. These deployments underscore Rippey AI’s ability to eliminate manual bottlenecks, reduce errors, and scale operations without increasing overhead.

Industry Partnerships

Rippey AI has established strategic partnerships with industry-leading players like Primus Solutions and PayCargo to deliver transformative automation in maritime logistics. In February 2025, Primus Solutions integrated Rippey’s AI-driven ML and analytics into its TMS platform, enabling its 3PL and freight forwarding clients to shrink email response and booking times from 24–48 hours down to under a minute, boosting efficiency and conversion rates. Earlier, in March 2024, Rippey collaborated with PayCargo to unify invoice automation and payment processing connecting automated invoice generation with seamless transaction execution across freight stakeholders like carriers, ports, and customs brokers. Through PayCargo’s network of over 130,000 logistics businesses and integration with 50+ systems, the partnership extends Rippey’s AI-powered reach into financial operations for logistics providers.

Rippey AI stands at the forefront of transforming maritime logistics through intelligent automation. By addressing long-standing inefficiencies in document processing, quote handling, and customer communication, the platform empowers shipping companies, freight forwarders, and maritime operators to operate with greater speed, accuracy, and scalability. With cutting-edge technology that integrates NLP, ML, OCR, and RPA, Rippey AI enables real-time automation of critical workflows, significantly reducing operational delays and enhancing client service. Its growing list of strategic partners such as Primus Solutions and PayCargo demonstrates strong industry validation, while its multi-million-dollar funding underscores investor confidence in its long-term value. As maritime operations increasingly demand digital efficiency and responsiveness, Rippey AI presents itself as a vital enabler of smarter, faster, and more agile shipping logistics.

References

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