Disruptions have forced manufacturers to pivot from Just in Time to “just in case.” Manufacturers work closely with partners to better understand threats and opportunities and plan for the worst. But staying close to a larger and more diversified supply base adds complexity and risk. Manufacturers are left building up safety stock or expediting material, crushing profits. To drive transformation that delivers ROI, manufacturers need to be able to connect data across their technology and process silos, analyze that data to develop insights, and then drive action from those insights. Many manufacturers invest heavily in collecting and analyzing but miss the action step. The companies leading the digital manufacturing revolution are tuned into the right data and use it to drive their ongoing operations.   Check out this webinar with our friends from ServiceNow to learn: · Why supply chain innovation could become the biggest competitive differentiator between success and failure in the future · Managing supply chain exceptions in the time of disruption · How to manage large complex supplier logistics and customer ecosystems      

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 Still, many continue to rely on an outdated and error-prone patchwork of spreadsheets and manual data inputs, often leading to supply shortfalls, mislabeled products and overstocking of products that are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.