Artificial Intelligence in Logistics

Unify fleet optimization, planning, management, and scheduling with the power of AI in logistics

Recent events, from the pandemic to extreme weather conditions, have shown how vulnerable supply chain logistics are to disruption. SparkCognition’s advanced AI in logistics solutions help you optimize your fleet schedules continuously, so you can rapidly process “what if” scenarios for better resiliency and profitability no matter how the world changes from day to day.

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What is AI in logistics?

Using AI in logistics allows companies to gain deeper insights from the data they already have to drive optimization, whether from automating critical tasks like demand forecasting or route-planning, or increasing utilization of resources across their fleet.

Logistics for shipping oil and gas by sea

Scheduling a fleet to load and discharge oil products requires precisely coordinating hundreds of complex, overlapping, and constantly shifting factors at once. AI in logistics automates scheduling and planning more reliably and much faster than manual processes.

Transform maritime shipping data into actionable insights

Maritime shipping operators already collect terabytes of data from their fleet. A comprehensive cognitive analytics platform allows them to validate their data, extracting actionable insights from structured and unstructured sources to help increase profit and operational efficiency.

Leveraging artificial intelligence to make supply chains more resilient

The complexity of responding to known and unknown circumstances in global supply chains makes it difficult to evaluate costs in today’s global shipping schedules.
AI can help predict and course-correct issues in real-time, with end-to-end visibility to make and execute more informed decisions.

Proven Value

“SparkCognition’s cognitive solutions and actionable insights into threat dynamics help companies act on warnings of impending failures, preventing unwarranted downtime. Bridging the gap between industry need and certified human capability, path-breaking cognitive analytics by SparkCognition is poised to become the industry standard.”

Mohena Srivastava
Analyst, Frost & Sullivan

    How can AI in logistics improve fleet utilization?

    Traditional fleet optimization methods are a poor match for the complex and dynamic nature of impacting parameters such as port and channel congestion, weather factors and demand fluctuations. Predicting these events—and their consequences—is difficult outside of a few days using static, historical-based modeling methods for planning and scheduling.


    SparkCognition’s first-of-its-kind intelligent maritime fleet optimization product uses patented knowledge representation technology to simulate and optimize continuous real-time scheduling, allowing you to significantly increase fleet utilization of time charter vessels and save millions monthly in operational cost reductions.

    Automate integration of all data sources, constraints, and rules

    SparkCognition’s advanced knowledge representation technology integrates data from customer sources and third-party portals (routes, trading, ports, vessel locators, etc.), to efficiently compute all factors impacting your fleet utilization plan.

    • Support your planning team in deciding time vs. spot chartering.
    • Enable traders and cargo operations personnel to respond to changing scenarios rapidly.
    • Aid your chartering team with deeper insights for negotiation.
    • Provide management with a better view of KPIs.
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    Respond in real time to rapidly evolving shipping conditions

    When rapidly evolving situations like supply chain logistics issues, weather conditions, or major global events interfere with carefully optimized fleet schedules, voyage costs can climb quickly if you don’t use a platform that can adjust to frequent changes.

    As a virtual mirror of your global fleet operations, SparkCognition Maritime Shipping Advisor lets you control the history, present state, and future simulations of your vessels and voyages through its comprehensive fleet dashboard—empowering you to continuously optimize your fleet schedules with the click of a button.

    Optimize fleet utilization and reduce shipping costs

    SparkCognition’s AI in logistics solution enables continuous observation of all domains and relevant parameters on a single pane of glass—automating the complex and tedious tasks inherent to maritime shipping while keeping the SME in control at all times.

    • View and manage vessels, shipments, and schedules for voyages, pick-ups, drop-offs, and products shipped.
    • Zoom in to see ports, vessels, berths, etc., including the relationships between them.
    • Change the plan via drag-and-drop UI and immediately observe the feasibility and impact of the modification.
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    How SparkCognition delivers increased fleet utilization for shipping oil by sea

    Based on any given set of cargoes and fleet of vessels, SparkCognition Maritime Shipping Advisor has proven that it can determine how to best optimize the fleet to schedule shipment of oil in a way that increases fleet utilization, reduces shipping costs, and maximizes business value.

    It is now possible to continuously optimize your fleet utilization and reduce costs—no matter what, when, or how often impacting changes occur.


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    Step 1: Encoding domain knowledge

    SparkCognition Maritime Shipping Advisor’s patented knowledge representation technology encodes our customer’s domain know-how and operational expertise into actionable digital knowledge.

    Step 2: Computing all impacting parameters

    Managing data from customer sources and third-party portals (routes, trading, ports, vessel locators, etc.), SparkCognition Maritime Shipping Advisor efficiently computes over 200 factors, such as vessel/terminal/product compatibility, bunkering requirements, vessel details, cleaning requirements, and possible vessel speeds.

    Step 3: Identifying optimal fleet schedules

    After identifying feasible assignments of routes and vessels to cargo using advanced computational techniques, it quickly evaluates the costs of each feasible assignment, optimizing the fleet schedule subject to all of the above business constraints.

    Case Studies: Learn more about AI in logistics

    Reducing shipping costs by $2M every two to three weeks using artificial intelligence in logistics

    Learn how we enabled the trading and shipping arm of one of the world’s largest oil and gas majors to simulate and optimize continuous scheduling with a few clicks across its fleet—resulting in 4-13% operational cost reductions month after month. Read our case study

    Realizing the value of data with AI in supply chain and logistics

    Find out how knowledge representation, machine learning, and natural language processing technology helps maritime shipping organizations assess real-time conditions and use actionable guidance to unlock efficiency gains across their fleet. Read our white paper

    Connect scheduling and operations with continuous fleet optimization

    Discover how we transform a highly manual, error-prone, and multi-dimensional fleet scheduling process into an automated operation, allowing you to refactor as needed for dynamic conditions like weather events, port delays, war risks, and maintenance needs. Read our case study