Manufacturing and Logistics

There’s no doubt that the manufacturing sector is leading the way in the application of artificial intelligence technology. From significant cuts in unplanned downtime to better designed products, manufacturers are applying AI-powered analytics to data to improve efficiency, product quality and the safety of employees.

Advanced AI algorithms in the form of machine learning and neural networks formulate predictions regarding asset malfunction making smart predictive maintenance system. The use of AI algorithms to notify manufacturing teams of emerging production faults that are likely to cause product quality issues. By tending to these issues early on, a high level of quality can be maintained.

AI-powered systems hold the key to higher ROIs for manufacturing industries. Such systems enable the plant to function at optimum performance level. The manufacturing sector is a perfect fit for the application of artificial intelligence. From the design process and production floor, to the supply chain and administration, AI is destined to change the way we manufacture products and process materials forever.

Artificial Intelligence has transformed many warehousing operations that include inventory processes, data, and predicting demand for specific products, planning of logistics, and predicting the demand for particular products. Thus, the orders are handled more efficiently and logistic companies can re-route transit goods to warehouses where the demand is high. AI provides the supply chain with contextual intelligence which can be used by them to reduce the operating costs and manage inventory

Datanomial has created project-specific AI solutions in manufacturing segment that focus on Smart maintenance, helps in generative design and improving quality. You can rely on us for AI solutions that reduce the Downtime while controlling the defect and failure rate in production processes. In logistics sector, we can support you with customized solutions that minimize operational costs and transportation time.