Compare AWS Supply Chain vs. Adexa

Reduce the risks of overstock and stock-outs to enhance customer satisfaction while simultaneously decreasing costs associated with excess inventory. Easily obtain visibility throughout your supply chain without the need for replatforming, hefty upfront licensing fees, or binding commitments. Leverage machine learning (ML) to make better-informed decisions in your supply chain by utilizing actionable insights powered by advanced analytics. Gain an understanding of the overall condition of your supply chain network, complemented by ML-driven insights regarding potential inventory issues, including both excessive stock and stock shortages. Rapidly deploy AWS Supply Chain utilizing ML models that can comprehend, extract, and convert diverse data sources into a cohesive data lake. Examine suggested actions that can help alleviate risks, and utilize integrated contextual collaboration features to expedite the agreement and implementation of decisions. Improve the accuracy of demand forecasts to minimize stock shortages, while also enhancing demand planning precision with ML models that progressively refine their predictions over time, leading to better inventory management. This comprehensive approach not only streamlines operations but also fosters a more responsive and resilient supply chain.

Accurate supply chain and demand planning hinge on a precise representation of your supply chain, commonly referred to as a digital twin. By utilizing precise models, businesses can confidently promise dependable delivery timelines and forecast financial outcomes with greater accuracy. This precision is achieved through an ongoing process of Sales and Operations Planning (S&OP) and Sales and Operations Execution (S&OE). The Adexa S&OP solution provides a robust platform that enhances visibility, predictability, and responsiveness throughout the supply chain while simultaneously reducing operational costs. It empowers organizations to forecast and optimize inventory levels at various stages of the supply chain, leading to shorter delivery times, higher order fulfillment rates, and the prevention of shortages in both capacity and materials. This system intelligently adjusts inventory levels according to customer service commitments, whether by customer segment, SKU, or product category. Additionally, the solution proactively detects and forecasts imbalances and potential capacity constraints by employing time-sensitive business rules that account for sourcing from multiple plants and suppliers with specific qualifications, ensuring a more resilient supply chain overall. Ultimately, this comprehensive approach to supply chain management not only enhances operational efficiency but also strengthens customer satisfaction.