Enrique Alvarez

As logistics leaders look to future-proof their operations, they face a complex landscape filled with critical decisions ranging from navigating supply chain volatility and shifting customer expectations to evaluating fast-changing automation technologies. Successfully planning, designing and implementing large-scale automation solutions requires specialized expertise that many organizations don’t have in-house. This white paper from Bastian Solutions is designed to help you understand how the right consulting partner can make a meaningful difference in the success of your automation initiatives. It outlines the strategic role integration consultants play in optimizing distribution operations and provides practical guidance on how to assess their capabilities—so you can confidently choose a partner that aligns with your goals and complexity.   Why download this guide? Find the right partner – Learn how to evaluate and choose a consulting partner that fits your goals and complexity. Go beyond the tech – Understand why process-focused strategies, not just automation, drive real results. Know what OEMs and traditional consultants miss – See the value of objective, end-to-end expertise that prioritizes your full operation. Leverage data & design – Explore how advanced analytics and simulation tools lead to smarter decisions. Follow a proven roadmap – Use a four-phase framework to confidently…

Special Guest Blog Post written by Chris Cunnane with InterSystems   Demand sensing and demand forecasting are both crucial aspects of optimizing supply chains, but they do have slightly different functions in their approach and focus. Demand sensing uses real-time data and analytics to identify and respond to immediate demand fluctuations, while demand forecasting uses historical data to predict future demand over a longer period (months or years). Different methods, such as statistical modeling and machine learning, are used to enhance the accuracy and adaptability of these processes. Both areas are crucial for companies when it comes to projecting sales, managing inventory, and coordinating replenishment. In the end, the goal is to accurately predict customer demand by using predictive models to forecast future demand. InterSystems surveyed 450 senior supply chain practitioners and stakeholders to examine key supply chain technology challenges, trends, and decision-making strategies across five key use cases: fulfillment optimization; demand sensing and forecasting; supply chain orchestration; production planning optimization; and environmental, social, and governance (ESG). This blog focuses on demand sensing and forecasting.   Current State of Demand Sensing and Forecasting According to the survey results, when asked how they currently forecast demand, 36% of respondents indicated that…