Pallet, a fast-growing startup, hosted a 'Pancakes & Pajamas' morning event that turned into a perfect window into the company's culture. Head of Talent Grace Turner used the LinkedIn post to celebrate the team's light-hearted spirit and to announce an ambitious hiring sprint: 30 new hires in 6 weeks. The post and its comment thread feature playful banter from team members Ankur Gupta (who invented a 'fake statistic' that good breakfast boosts output) and Bradley Callahan (whose blueberry pancakes achieved 'culinary innovation'), painting a portrait of a team that works hard and doesn't take itself too seriously.
Sushanth Raman, founder and CEO of San Francisco-based supply chain AI company Pallet, delivers a conference keynote tackling the central paradox of the enterprise AI boom: despite a projected $2.5 trillion in AI spending in 2026, an MIT study finds 95% of enterprise AI pilots fail. Raman argues the failures stem not from weak frontier models but from messy real-world deployments, uncaptured tribal knowledge, legacy integrations, and poor change management. He offers a three-part framework for evaluating AI vendors, explains why building in-house is harder than it looks, and presents three case studies (Lineage, Prism Logistics, and Mallory Alexander) where Pallet drove millions in savings and 99%+ accuracy on tasks like customs filing.
On May 14, 2026, logistics AI company Pallet launched Pallet Forge, an 'agent factory' that compresses the build-and-deploy cycle for production-grade logistics AI agents from roughly six months to six weeks. Authored by co-founder and CEO Sushanth Raman, the announcement frames Forge as Pallet's answer to the industry's pilot-to-production gap — citing the MIT finding that only 5% of enterprise GenAI pilots generate measurable P&L impact. Forge works by connecting to a customer's systems (TMS, WMS, ERP, EDI, email, and legacy AS400), encoding operational rules and carrier preferences inferred from historical data instead of hand-written SOPs, and running thousands of simulations to tune agent accuracy automatically. Early proof points include Everest Transportation running on 20,000+ customer-specific encoded memories and Eassons Transport Group hitting 98% touchless processing after going live in 40 days — with subsequent customers onboarded in as little as 48 hours.
On this episode of TPM Today, JOC senior technology editor Eric Johnson interviews Sushanth Raman, founder and CEO of Pallet, an AI-agent company built for the logistics industry. Raman explains why an oft-cited MIT study found that 95% of enterprise AI projects fail — arguing the root cause is missing 'tribal knowledge' and organizational context rather than flashy technology. He details how Pallet captures the undocumented business rules inside freight forwarders, 3PLs and shippers to automate document processing, container tracking, ISFs, billing and air-freight procurement, and lays out how operators should vet AI vendors. The pair also discuss the 'AWSification' of logistics labor, real EBITDA impact, and why, despite the hype, the industry is still very early in AI adoption.
Sushanth Raman is the co-founder and CEO of Pallet, a San Francisco-based AI company building an autonomous workforce for the logistics industry. Drawing on family roots in food distribution and stints at Microsoft, Google, and Retool, he founded Pallet in 2022 with fellow Retool engineer Andrew Spencer. The company has raised $50M total — including a $27M Series B led by General Catalyst in May 2025 — and its CoPallet platform automates the manual back-office operations (order entry, quoting, portal updates, shipment tracking) that still consume billions of dollars annually in a $12 trillion global logistics market.