In an industry where manufacturing floor productivity is king, getting an edge on speed, quality and safety can give you a leg over the competition. Skilled labor shortages pose a major concern, all of which can be addressed effectively using digitalization, and advanced analytics with AI and machine learning at the forefront.
Reduce safety risk and optimize performance with advanced robotics and sensors. With the advent of AI and ML, robots can be more effective, more adaptive and increase the overall efficiency of the manufacturing processes, saving humans from time consuming or even dangerous tasks.
Predict demand, optimize inventory levels and make sure the production organization stays lean yet responsive to market demand. Leverage data for machine learning to more accurately forecast demand, eliminating waste and resulting in significant cost savings.
Leverage computer vision technology to identify anomalies and detect defective parts throughout the production line. Not only can machine learning help your company produce overall higher quality products, but it can decrease defective products from being made causing considerable risk and associated costs.
Identify business opportunities by leveraging consumer data, market trends and demand forecasting. Utilize machine learning for innovation and stay on top of market trends. Reduce losses over failed products, and continue providing profitable and competitive products.
Predict signs of equipment failure well before they happen. Use machine learning models to automatically recognize, analyze, and monitor crucial system metrics throughout the manufacturing process. Devise advanced systems to alert operators prior to system failure, or even use automated responses without operator interaction so that imminent issues get handled, averting expensive unplanned downtime.
Improve demand forecast accuracy to determine a better pricing strategy. Leverage historical sales data to build advanced predictive price forecasting models. Enhance the decision making process with historical data to better predict future revenues. Use competitor pricing data to analyze and offer the best prices in the market. Lead the industry pricing strategy with machine learning.
