dotData Transforms
Manufacturing with AI

By extracting signals from the relationship between raw materials, processes, and product performance, manufacturers can increase product quality and streamline production. This approach is also applied in materials informatics, where dotData helps predict physical properties from sample data, aiding the discovery of new compounds. In the consumer goods sector, manufacturers leverage data on consumer behavior and preferences to accelerate product development, reducing time and costs.

dotData transforms supply chain management (SCM) by optimizing demand, pricing, and inventory forecasts. dotData has helped manufacturers reduce inventory by discovering signals from sales history and market trends to improve accuracy in forecasting. A chemical manufacturer enhanced its procurement process by analyzing raw material demand and prices, while a metal manufacturer optimized production volumes and inventory by forecasting steel product demand. dotData’s AI-driven approach automates and accelerates the creation of multiple time series forecast models, allowing manufacturers to quickly adapt to changing market conditions, reduce overstock or stockouts, and lower shipping costs through supply chain optimization.

A manufacturer used dotData to analyze the relationship between plant operating conditions and product quality, identifying the optimal conditions for producing high-quality products with lower power consumption. This led to improvements in both production efficiency and cost-effectiveness. Additionally, in factory automation, dotData’s AI automates the control of manufacturing actuators, further enhancing process efficiency. This automation helps maintain consistent product quality while reducing costs and increasing overall operational efficiency.

dotData’s AI helps improve customer experience from product development to aftermarket services. B2B2C businesses, like automobile and consumer goods manufacturers, use insights from consumer data and collaboration with wholesalers to understand customer needs better and create more personalized products. Additionally, manufacturers analyze product defects and customer feedback to enhance product quality and service, boosting customer satisfaction and brand loyalty.