Full-Time
Posted on 9/9/2025
Real-time supply chain visibility and analytics
No salary listed
Chennai, Tamil Nadu, India
Hybrid
FourKites provides a data-driven platform for real-time visibility and predictive analytics across large, end-to-end supply chains. It ingests data from millions of global shipments daily and uses patented AI to turn that data into actionable insights, with Fin AI offering a natural language interface to spot optimization opportunities and automate tasks. Its platform links every point of the supply chain so teams share a single source of truth and can respond faster. Its goal is to help brands reduce risk, improve responsiveness, and optimize performance across their networks.
Company Size
501-1,000
Company Stage
Late Stage VC
Total Funding
$211.6M
Headquarters
Chicago, Illinois
Founded
2014
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Medical, dental, & vision
PTO
401k with company match
Annual wellness stipend
Ongoing learning & development opportunities
Where to start with autonomous AI in your Supply Chain: lessons from 3 live debates. Share: When you force supply chain leaders to pick a side, it turns out most of them already have. At Manifest 2026, FourKites staged three courtroom-style debates on the biggest questions in supply chain AI. Former executives argued assigned positions (harder than it sounds - you have to do the homework), cross-examined witnesses, and let the audience vote. In the first trial alone, 90% of the room voted that AI should act autonomously on routine decisions, not just advise. Ninety percent. In a room full of practitioners, not analysts. And yet most of their companies are still running manual exception management, still requiring human approval on routine decisions, still staffing teams to do work that AI agents are already handling at companies like Church & Dwight and US Cold Storage. The conviction is there. The deployment isn't. That tension ran through every session - but so did practical guidance on how to close it. The volume problem everyone acknowledges but few are solving. Brad Blizzard of Bridgestone Americas painted a picture of a company dealing with millions in annual waste from slow response times, siloed systems, and manual bottlenecks - and when asked if that company was using autonomous AI, he said they weren't sure where to start. He was arguing for the prosecution, the side that said AI should advise, not act. But his testimony landed differently next to companies already in motion. A Church & Dwight supply chain leader said in a video deposition that their AI agent Tracy saved 25 hours a week. US Cold Storage hit 96% accuracy on automated appointment scheduling across 600-plus shipments. Both sides agreed that you should start with high-volume, low-risk decisions with clear business rules like appointment scheduling, detention alerts, and document collection. These are the tasks where the decision logic is well understood, the financial exposure per decision is limited, and the frequency is high enough to prove value fast. Nobody argued for handing strategic customer exceptions to an AI on day one. The debate was about whether you earn governance through endless pilots or through controlled deployment with guardrails. Running a fifteenth pilot won't produce governance. That takes intentional work - sitting down with IT, operations, and end users to define the guardrails before you turn anything loose. The $13,000 decision that should cost $1,800. The second trial asked whether shipment tracking is enough. The defense argued it is - master what you have, don't chase complexity. Then James Glover of CHEP described a retailer with 250 SKUs on a delayed truck. Before orchestration, they'd air freight the entire load for $13,000 or do nothing and risk $50,000 in stockouts. With orchestration, the system identified that only 8 SKUs were critical. They moved those 8 for $1,800. As Luis Solana put it to the jury, that's $10,000 saved on a single exception. Even if only a fraction of your monthly exceptions carry that kind of cost, the savings add up fast. The jury voted 80-20 for orchestration. But the more useful thing here is the diagnostic. Say your team is regularly expediting entire shipments because nobody can quickly tell which SKUs are critical, that means that you're overpaying on every exception. Or a delayed truck triggers hours of cross-functional investigation before anyone can act. That's time and money spent assembling information, not making decisions. Either one is a sign that tracking alone has gone as far as it can go. The trade-off between control and time. The third trial - build your own AI or buy - was the only one that was close. The jury voted 56-44 to buy, and when someone asked about hybrid approaches, roughly half the room raised their hands. That's because this is the question where conviction meets budget, org charts, and IT roadmaps. The build side made a legitimate case for control, data ownership, and long-term flexibility. Their witness described a failed vendor implementation and a successful in-house rebuild. The buy side countered with a CPG company that spent 18 months building an internal control tower with adoption stuck at 30%. FourKites deployed prebuilt agents in 12 weeks and the company recovered millions in working capital in six months. Both sides, stepping out of their assigned roles, agreed on a practical framework: build what's core to your competitive advantage, buy what gets you speed on everything else. Say you're a retailer whose edge comes from how you run promotions - maybe you build an agent to optimize those workflows yourself. But if appointment scheduling and document collection are eating your team's time, buying a purpose-built solution gets you to value in weeks instead of quarters. The mistake most companies make is treating it as an all-or-nothing decision when it doesn't have to be. What's most important is deployment. Get that experience. Progress over perfection. - Bob Stewart, former SVP & Chief Supply Chain Officer NA, McDonald's So what's the holdup? The votes were decisive. The examples are real. Coca-Cola cut customer response times from a 90-minute SLA to seconds. Arrow Electronics is using an AI agent to collaborate with 1,800 suppliers in multiple languages. US Cold Storage automated dock scheduling with over 90% accuracy. Ninety percent of the room said act. The companies already acting are proving them right. The prosecution wants you to fear autonomous action because it could fail. I'm asking you to fear inaction because it's guaranteed to fail. - LeAnne Coulter, former VP Freight Management, Penske Logistics The only question left is what the other companies are waiting for. All four sessions are available to watch on demand. Join 30,000+ monthly readers and get exclusive ebooks, reports, and industry insights from FourKites every week.
FourKites has launched Loft, an AI orchestration platform that works across enterprise systems beyond supply chain applications. The platform features Sophie, an AI developer agent that transforms operational requirements into production-ready automations in days rather than months. Loft integrates with FourKites' Intelligent Network, which provides real-time data from over 500,000 trading partners and millions of daily supply chain events across ERP, ITSM, TMS, WMS and CRM systems. The platform introduces Agent Operating Procedures to record decision-making processes and preserve institutional knowledge. FourKites processes 3.2 million supply chain events daily across 176 countries. Custom agent development through Loft is now available to enterprise customers.
FourKites launches Loft: AI platform to orchestrate enterprise systems with real-world intelligence. Share: 2-9-26. Sophie, an AI developer agent, turns standard operating procedures into automated workflows that run across enterprise systems. It combines internal company data with external intelligence and records how decisions are made, so organizational knowledge can be reused and improved over time. LAS VEGAS - Feb. 9, 2026 - FourKites(R), the leader in AI-driven supply chain transformation, today announced Loft(TM), an AI orchestration platform that works across any enterprise system, not just supply chain. At the core of Loft is Sophie, an AI developer agent that enables FourKites to transform its customers' operational requirements, described in natural language, into production-ready automations in days, eliminating the months of engineering work and perpetual maintenance burden that plague traditional AI deployments. Unlike AI platforms that work exclusively with data inside an enterprise, Loft combines orchestration across internal systems with real-time external intelligence from the FourKites Intelligent Network - insights from 500,000+ trading partners and millions of daily supply chain events, spanning any ERP, ITSM, TMS, WMS, or CRM system. The enterprise AI problem: duct tape, silos, and perpetual engineering tax. "Most enterprise operations still run on fragmented systems held together by spreadsheets, shared inboxes, and email chains," said Josh Jewett, operating partner at NewRoad Capital Partners and former CIO of Dollar Tree and Family Dollar. "In that environment, critical decisions don't live in systems at all - they live in Slack threads and people's heads. When AI is layered on top of that fragmentation, it can observe problems but can't reliably act on them. That's why so many AI initiatives stall. The missing piece isn't just intelligence, it's a platform that turns decision logic into durable, reusable workflows that can actually run the business." The AI agent explosion promised to solve this. Instead, it created new confusion. Every vendor, from core systems to infrastructure providers to AI startups, pitches the same approach: AI built on internal data, using the same foundational models. The technology is commoditizing faster than anyone can differentiate. Market data confirms this challenge. According to McKinsey & Company, while 88% of organizations have deployed AI in some function, only 7% have successfully scaled it enterprise-wide. Gartner predicts that 40% of agentic AI projects will be abandoned by 2027 due to complexity and unclear returns. The real problem emerges after deployment. Managing model drift, evaluating new models, and improving performance creates a perpetual engineering burden. Deloitte reports that 70% of enterprises require more than 12 months to address these post-deployment challenges. Enterprises either build internal teams to maintain agents or become dependent on vendor engineering capacity - neither scales. Loft: orchestration built on external reality. Loft solves these challenges through three architectural innovations: Sophie, the AI Developer Agent: Customers describe operational requirements in natural language. Sophie evaluates whether existing workflows can be configured, whether building blocks can be combined, or whether custom code is needed, with FourKites engineers reviewing before deployment. What traditionally required months now happens in days. Sophie continues monitoring and improving performance over time, eliminating the maintenance tax entirely. Agent Operating Procedures (AOPs): When agents do real work, like fixing PO mismatches, handling supplier issues, balancing warehouse capacity, or routing approvals, Loft keeps a record of why decisions were made and who approved them. Instead of losing that reasoning in Slack or Teams threads, it's saved and can be reused the next time the same situation arises. External Intelligence Integration: Loft orchestrates across internal enterprise systems while simultaneously accessing external insights from the FourKites Intelligent Network. When an AI agent needs to decide whether to escalate a supplier delay, it knows the supplier's actual performance history across the network, sees real-time patterns from the supplier's other customers, understands precedents from similar situations, and has context that no internal system provides. "We didn't build AI features on top of legacy software. We built an AI-native system from the ground up," said Mathew Elenjickal, founder and CEO of FourKites. "When our AI agents do the work, we record how decisions were made - not just what happened, but the context, the prior cases that informed it, and who approved it. That reasoning doesn't live in your TMS or ERP. It's scattered across Slack threads, email chains, and people's heads. Until now." The data moat: why external intelligence matters. The answer to "what makes AI agents actually different?" is data. Specifically, the data that AI agents are trained on and have access to in real-time. "The real value starts with the network," said Charles Brennan, Senior Analyst at Nucleus Research. "FourKites' Intelligent Network provides the external, real-time data foundation that AI and automation depend on. Loft gives enterprises a practical way to operationalize that data by embedding it into governed, repeatable workflows that connect external supply chain conditions directly to internal systems and decisions." FourKites has proprietary data outside those four walls. Real-time performance across 500,000+ trading partners in 176 countries, including carriers, suppliers, manufacturers, and 3PLs. Three million daily events across the entire supply chain ecosystem. Intelligence about supplier performance, manufacturing disruptions, capacity constraints, and carrier reliability - patterns that don't exist in any internal system. Scaling workflow automations. Loft is home to FourKites' Digital Workforce - specialized agents like Tracy (logistics execution), Sam (supplier collaboration), and Alan (appointment scheduling) - that are already delivering measurable value at dozens of Fortune 500 firms. Sophie expands this foundation by enabling FourKites to deliver custom automations for any customer's operational needs across any system. Built on the FourKites Intelligent Control Tower's three pillars - network data, digital twins, and digital workforce - Loft pulls data from more than 200 TMS providers, ERP systems, and CRM platforms to power automations that span business functions and respond to conditions in real time. "We are moving enterprises from dashboards that merely track problems to systems that autonomously solve them," said Elenjickal. "The goal isn't to drop AI into existing silos. It's to capture the reasoning that lets those systems work together, and to preserve it so each decision makes the next one easier." Custom agent development through Loft is now available. For more information, visit https://www.fourkites.com/platform/loft/. About FourKites. FourKites, the leader in AI-driven supply chain transformation for global enterprises and pioneer of real-time visibility, turns supply chain data into automated action. FourKites Intelligent Control Tower(R) breaks down enterprise silos by creating a real-time digital twin of orders, shipments, inventory and assets. This comprehensive view, combined with AI-powered digital workers, enables companies to prevent disruptions, automate routine tasks and optimize performance across their supply chain. FourKites processes over 3.2 million supply chain events daily - from purchase orders to final delivery - helping 1,600-plus global brands prevent disruptions, make faster decisions and move from reactive tracking to proactive supply chain orchestration. For more information, visit www.fourkites.com. Join 30,000+ monthly readers and get exclusive ebooks, reports, and industry insights from FourKites every week. 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Why NSRMCA members are choosing TracxTMS for USPS contracting success. The National Star Route Mail Contractors Association (NSRMCA) represents transportation companies that contract with the United States Postal Service to move mail across the country. For NSRMCA members, having a transportation management system (TMS) that meets USPS requirements - while boosting operational efficiency - is vital to success. At TracxTMS, Tracx Systems Ltd. has seen firsthand how integrating with key logistics and USPS systems helps mail contractors streamline workflows, improve data accuracy, and stay compliant across every contract. If you're an NSRMCA member looking to modernize your USPS trucking operations, here's how advanced TMS integrations can make a meaningful difference. 1. Seamless integration with USPS EDI and CLEAR/ILE. TracxTMS provides direct EDI reporting to USPS - meaning your trip, route, and delivery data exchanges directly with USPS systems without manual intervention. This includes support for CLEAR (the USPS Integrated Logistics Ecosystem) and similar USPS frameworks, ensuring compliance and data accuracy while reducing the administrative burden on dispatchers and operations teams. * Reduces USPS reporting errors * Improves on-time delivery scores * Eliminates duplicate data entry Direct USPS communication and EDI automation are central to meeting USPS contract performance metrics and reducing turnaround time on reporting. 2. Real-Time visibility with FourKites. TracxTMS integrates with FourKites, a leading real-time visibility platform used by carriers and shippers to track assets and shipments. With FourKites feeds imported directly into the TMS, USPS contractors can: * See real-time GPS tracking of trucks and trailers * Predict ETAs based on live road conditions * Share visibility with customers and USPS partners This is especially helpful for NSRMCA members managing long-haul routes or contract tenders where visibility correlates directly with service scores and performance metrics. 3. Planning & execution optimization through Blue Yonder connectivity. TracxTMS also integrates with Blue Yonder systems - enabling data exchange that drives better planning and execution workflows. By incorporating Blue Yonder collaboration data into TracxTMS, USPS contractors benefit from: * Enhanced transportation planning insights * Coordination with broader supply-chain partners * Better load optimization and resource allocation This connectivity elevates USPS contract execution by bridging strategic planning tools with day-to-day dispatch and fleet management. 4. TracxTMS: built for mail contracting efficiency. As an all-in-one USPS TMS solution, TracxTMS supports USPS contracts, daily dispatch, driver routing, and advanced EDI workflows - all in one platform. * Integrations that match real industry workflows * Reduced compliance headaches * A platform designed to grow with complex postal contracts If your goal is to boost performance scores and free your team from manual administrative tasks, a connected TMS is a key part of that transformation. Have any question? Do not hesitate to contact Tracx Systems Ltd.. Tracx Systems Ltd. is a team of experts ready to talk to you. 1-844-838-7229. Talk to Tracx Systems Ltd.. Considering TracxTMS or want to learn more? Book a demonstration from its calendar. You can also give Tracx Systems Ltd. a call or send an email and Tracx Systems Ltd.'ll get back to you asap. Contact info.
FourKites launches Manufacturing Advisory Board. FourKites has announced its third Customer Advisory Board. On this occasion, it has brought together leaders from the manufacturing sector to create its Manufacturing Customer Advisory Board. The announcement follows the two advisory boards that it created last year. The first was the Food and Beverage Customer Advisory Board, and the second was the Consumer Packaged Goods Advisory Board. The Manufacturing Advisory Board will help FourKites influence and drive strategic product innovation for the manufacturing sector. It will also help to strengthen the relationship with key clients, those who have a seat at the table. The board will consist of eight supply chain leaders from manufacturing companies. The board will discuss product development, industry challenges and emerging opportunities with FourKites. Mathew Elenjickal, FourKites Founder and Chief Executive Officer, commented, "Manufacturing supply chains require precision and agility to support global production networks. By partnering with manufacturing executives who understand the demands of synchronizing raw materials, finished goods and complex logistics networks, we can build solutions that drive operational excellence." FourKites has appointed Brad Blizzard, former Vice President of Logistics and Product Delivery at Bridgestone Americas, to serve as chairperson of the Manufacturing Customer Advisory Board. Blizzard commented, "Manufacturing leaders need technology that adapts to their operational reality, whether managing just-in-time delivery for production lines or coordinating global distribution networks. This advisory board will help ensure FourKites continues developing capabilities that solve the real challenges manufacturers face every day." Who is on the new board? The board members have over 150 years of experience in the supply chains of manufacturing firms. FourKites hopes to provide strategic guidance for its product within the sector. They will help provide intelligence around emerging challenges and opportunities, market validation of requirements and use cases, best practices on implementation and adoption, and strategic direction through collaborative feedback. What isn't clear is the frequency of meetings. The members of the Manufacturing CAB include: * Brad Blizzard - Chairperson and former Bridgestone Americas, VP, Logistics and Product Delivery (retired) (US-based, with at least 15 years of experience in supply chain) * Bart Verbeke - First Solar, Head of Global Logistics (US-based, with at least 28 years of experience in supply chain) * Eric Zillig - HNI Corp., VP of Distribution & Logistics (US-based with at least 25 years of experience in supply chain) * Jeff Dudzik - Milwaukee Tool, VP, Supply Chain Transportation (US-based, with at least 23 years of experience in supply chain) * Kris Wilson - Ardagh, SVP, Global Chief Logistics Officer, (US-based, with at least 21 years of experience in supply chain) * Punit Menon - Medtronic, VP, Global Distribution, Logistics & Trade, (US-based, with at least 21 years of experience in supply chain) * Scott Campbell - LyondellBasell, VP, Global Supply Chain, (US-based, with at least 9 years of experience in supply chain) * Tom France - Trane Technologies, VP of Global Integrated Supply Chain, (US-based, with at least 18 years of experience in supply chain) What is perhaps disappointing about the makeup of this board is the lack of international members, with no representatives from Europe or Asia, who might shed light on regional-specific challenges and opportunities for Fourkites. FourKites listens and learns to drive innovation. As FourKites continues to create these boards, it is not the only source of information around product innovation. It reported that 90% of companies that actively use the FourKites app share new ideas on the IdeaExchange platform. FourKites has reviewed all of these requests and added 25% to the product roadmap, resulting in 250 new features. The Manufacturing CAB will no doubt now help FourKites prioritise some of these ideas and help identify those that could make the biggest difference to manufacturers. FourKites continues to drive innovation across its portfolio. Its most recent major innovation was the creation of the FourKites Intelligent Control Tower which now hosts several Agentic AI agents that will handle task across a multiple of functional areas. The agents already include: * Tracy helps supply chain workers track and trace, * Sam is a supply chain collaboration tool that helps onboard suppliers through that process, * Alan is a scheduling agent, * Polly, a Document Compliance Coordinator, * Cassie, AI-Powered Customer Service. Justin Carder, Logistics Operations Lead at First Solar, commented, "FourKites allows us to scale effortlessly to support increasing shipment volumes without proportional headcount increases. This scalability, combined with our improved cost metrics and working capital management, positions First Solar with significant competitive advantages." Enterprise times: What does this mean? FourKites continues to launch Customer Advisory Boards. These will provide FourKites with great insights over the coming months. However, should it have included representatives from outside of the United States? The makeup of the board may reflect its customer base; however, if it intends to expand its footprint faster outside of North America, its CABs should better represent the regions. If the issue is logistical, then it might want to consider a regional Customer Advisory Board, perhaps one for EMEA and one for APAC.