SUPPLY CHAIN

Drive Resilience, Visibility, and Predictability Across Your Operations

In today’s fast-paced global economy, supply chains are no longer linear — they’re intelligent ecosystems. At Neomlytics, we bring the power of AI, Machine Learning, and Predictive Analytics to optimize every link in your supply chain. From demand forecasting to real-time inventory insights, our solutions deliver the agility modern enterprises need.

With shifting consumer behaviors, supply disruptions, and rising sustainability mandates, legacy systems fall short. Our intelligent supply chain solutions turn real-time data into proactive decisions — driving efficiency, adaptability, and end-to-end visibility across global networks.

What Neom Offer

    Demand Forecasting

    Use time-series models and external signals (weather, market trends, promotions) to improve forecast accuracy and reduce demand variability.


    Inventory Optimization

    Balance inventory across warehouses and regions using predictive analytics to meet service-level goals with minimal overhead.


    Supplier Risk Management

    Mitigate supplier risk with automated risk scoring, geo-political event alerts, and financial health indicators to ensure continuity.


    Logistics Intelligence

    Optimize delivery routes, fleet capacity, and resource allocation with real-time data and AI-driven decision support.


    Production Planning

    Integrate predictive demand signals with production scheduling to optimize resource allocation, reduce downtime, and meet delivery timelines.


    Sustainability & ESG Monitoring

    Track and minimize carbon emissions across transportation and storage, helping you stay aligned with ESG compliance and reporting goals.

Why Neomlytics?

Our Stats

📉 Up to 30% reduction in inventory holding costs

📈 20 – 40% improvement in forecast accuracy

🕒 50% faster response to supply chain disruptions

🌿 Enhanced sustainability and ESG performance through optimized logistics

Unlock rich experiences with user-centric designs

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