Decklar

Roambee is now Decklar!

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Meeting 53 Supply Chain Leaders Across 4 Continents in 12 Months: The Inspiration Behind Building Decklar

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    Introduction

    Across fifty-three conversations with chief supply chain officers from Fortune 500 and Global 2000 companies around the world in the last twelve months, one message kept surfacing repeatedly: supply chains are undergoing a major mindset shift. What began as Roambee has evolved into Decklar, shaped by these discussions and the growing need for a new class of supply chain technology. 

    Across industries—from chemicals to pharmaceuticals to CPG—the feedback was consistent. Traditional systems of record are no longer enough. Enterprises are moving toward a system of action, where real-time decisions, outcomes, and automation replace dashboards and static reporting. 

    In this article and video, Sanjay Sharma, CEO of Decklar, shares what inspired the creation of Decklar and why Decision AI is becoming central to modern supply chain execution. 

    Watch the Video

    The Shift From Systems of Record to Systems of Action

    Across every executive conversation, one pattern emerged: supply chains are transitioning from systems that store data to systems that drive decisions. ERPs, warehouse systems, yard systems, and other tools may continue to play a role, but enterprises now expect intelligence, actionability, and outcomes—not just visibility. 

    Customers want AI that enhances their operations without reducing manpower. They want automation where it matters, integration across fragmented systems, and insights that generate value quickly. The demand spans forecasting, replenishment planning, procurement, goods receipt, and more—areas where traditional systems of record only partially deliver. 

    Beyond Dashboards: The Need for Decision-Driven Outcomes

    One of the strongest signals from executives was that the era of dashboards and static reports is ending. Leaders want platforms that generate decisions and business outcomes across all shipment types—sensor-tracked cargo, courier shipments, multimodal moves, and multi-stop deliveries. 

    Visibility is no longer the finish line. The question becomes: What should the operation do next with that visibility? 

    Enterprises want decisions, foresight, and automation built directly from the data they already have. 

    Procurement’s New Mandate: ROI as the Central Filter for Supply Chain AI

    Executives emphasized that future technology decisions will revolve around ROI. Procurement teams want modernization, automation, and faster outcomes—but not at rising total cost. The request was clear: “Decklar, can you make us cost-neutral?” 

    Organizations are ready to invest in new technology only if AI can generate measurable efficiencies and risk reduction that offset the investment. 

    How AI Is Reshaping Features and Functionality in Supply Chains

    Traditional platforms are built around fixed features and standardized modules. AI is flattening this model. Instead of predefined functionality, enterprises want features created on the fly—tailored to their industry, workflows, and processes. 

    Proof of delivery means something different in pharmaceuticals versus chemicals versus food and beverage. With AI, those differences can be modeled and delivered rapidly. Decklar’s agentic platform reflects this shift, enabling tailored processes that mirror each customer’s operational reality. 

    Data Depth and Context: The New Frontier

    AI is enabling deep integration of diverse data sources: port data, vessel data, weather, traffic, sensor insights, vessel systems, and broader supply chain risk indicators. Data depth is becoming central to operational intelligence. 

    But the real value comes from context—how AI prepares and shapes that data for specific roles: 

    • a warehouse operator 
    • a forecasting planner 
    • a chief supply chain officer 

    Each persona needs information differently. AI must translate data into context, behavior, and decision modes tailored to the user. 

    The Right Level of Automation Through Decision AI

    Decision AI is most effective when automation complements human expertise. Many enterprises run control towers that depend on human monitoring and interpretation. 

    AI’s sweet spot is automating targeted portions of these workflows—reducing noise, highlighting what matters, guiding actions, and improving response speed. This balance between automated intelligence and human oversight defines the future of supply chain decision-making. 

    Why Decklar Was Built

    Decklar was created at a pivotal moment when supply chains began demanding outcomes, speed, personalization, and measurable ROI from their technology. Enterprises want actionable intelligence, automated processes, and decision-ready insights built on real-time data. 

    The inspiration behind Decklar is clear: 
    To build a system of action that modernizes supply chain operations without compromising the human expertise that drives them. 

    See Decklar in Action

    Request a personalized demo to see how real-time visibility and Decision AI power faster, smarter supply chain decisions.

    Sanjay Sharma, Chairman & CEO, Decklar

    Sanjay Sharma is a strategic thought leader with an impressive 17+ years of entrepreneurial experience building technology startups from the ground up. As CEO of Decklar, he is responsible for leading the company’s vision, driving its worldwide business growth, and increasing Decklar's value. Sanjay has successfully co-founded and led two successful Silicon Valley technology startups - KeyTone Technologies, which was acquired by Global Asset Tracking Ltd and Plexus Technologies, which became an ICICI Ventures portfolio company. He has also been a part of the engineering teams at EMC, Schlumberger, and NASA. Sanjay has a Bachelor's Degree in Electronics Engineering from the University of Bombay, and a Master of Science in Electrical Engineering from South Dakota State University.

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