Quincus

Quincus provides a B2B software-as-a-service (SaaS) platform designed to address complexities within the global supply chain and logistics industry. The company was established in 2014 by Jonathan E. Savoir and Katherina-Olivia Lacey. Savoir, who serves as CEO, has a background in engineering, economics, and data science, having studied at institutions like Imperial College London and INSEAD. His experience includes mentoring AI/ML startups and a stint at Salesforce, which fueled his interest in applying technology to logistics challenges. Lacey, the Chief Product Officer, previously worked in a B2B manufacturing business where she experienced firsthand the delivery inefficiencies that Quincus now aims to solve. Her background also includes digital marketing and an MBA.

The company's business model is centered on offering configurable and modular enterprise SaaS solutions that help logistics providers, e-commerce firms, airlines, and freight companies digitize and automate their operations. Quincus generates revenue through its platform which provides a single source for real-time data, enabling clients to manage their entire supply chain ecosystem. The platform is designed to integrate with clients' existing systems, such as ERP and WMS, via open APIs. Key milestones include moving its headquarters to Singapore in 2016, launching its core GeoEngine and LogisticsEngine products in 2017, and closing a Series B funding round in 2021 that pushed its valuation over $100 million. The company processes over 70 million shipments monthly and analyzes more than 1.4 quadrillion data points to optimize logistics.

The Quincus platform offers a suite of features that provide end-to-end visibility and control over the supply chain. Its technology uses machine learning and artificial intelligence to offer multi-mile optimization, real-time tracking, and automated data sharing. Specific capabilities include a route optimization engine that aims to reduce fuel consumption, an address geocoding feature for improved accuracy, and a multi-modal engine to plan routes across different transportation types, considering factors like cost, time, and environmental impact. The platform serves a diverse client base, from postal services looking to digitize operations to food and beverage distributors needing to manage perishable goods and cargo airlines requiring visibility across disconnected networks. Case studies show clients have achieved significant operational improvements, such as a 25% increase in stops per driver and a 51% improvement in address accuracy.

Keywords: supply chain management SaaS, logistics technology, freight transportation management, AI in logistics, machine learning optimization, real-time shipment visibility, route optimization software, multi-modal logistics, supply chain automation, e-commerce logistics, airline cargo software, fleet management solutions, enterprise logistics platform, address geocoding, supply chain data analytics, logistics digitalization, last-mile delivery optimization, first-mile logistics, logistics operating system, supply chain resilience, transportation management system