Manufacturers understand the importance of precise data management to assure that sufficient materials are available in order to avoid costly production downtime. Still, many continue to rely on an outdated and error-prone patchwork of spreadsheets and manual data inputs, often leading to supply shortfalls, mislabeled products and overstocking of products that are no longer needed. This webinar will demonstrate how artificial intelligence (AI) replaces disconnected data silos with a digitized network footprint of all goods, services and logistics throughout the supply chain so that every decision is visible across the entire organization. AI’s machine learning capabilities remove materials guesswork by continually updating and interpreting market and customer trends to drive highly accurate predictive inventory analyses for indirect MRO, direct goods and even finished products. The webinar will also explain how complete digitization of data improves operational efficiency by harmonizing real-time, continually updated data across all departments and users, streamlining inventory management for speedy access to individual product stocks and available quantities.

After a year of supplier shortages, demand fluctuations, increased operating costs, and liquidity pinches, supply chain leaders face a crossroads — either maintain the status quo and hope for the best, or reevaluate their business model to ensure they can weather the next storm. For many innovative business professionals, this means embracing new ways of thinking and capitalizing on process improvement and automation to realize real results on their balance sheet.