AUTIT
Software DevelopmentGeorgia, United States2-10 Employees
Global manufacturing companies spend trillions of dollars annually on parts required to maintain their facilities and assets, as well as produce their products, creating very complex supply chains. However, the ERP systems they use are disconnected. Creating many disparate sources of data...and because suppliers provide the physical good, but not the digital footprint of these parts, manual process challenges are added to the mix. Collectively these issues make their master parts data nearly impossible to manage. These system-related problems leave organizations vulnerable to a subjective inventory management and procurement strategy rather than data-driven. This poor data management strategy leads to 10’s of millions of dollars in overstocked inventory that ties up working capital every year. Our software helps global manufacturing organizations to reduce inventory by an average of 30% while unifying a common deep learning solution for Operations, Procurement and Finance. The net result is greater reliability while saving millions of dollars. AUTITs software creates one global source of truth for parts across the enterprise, transforming his supply chain from Just in Case to truly Just in Time. Our neural AI merges and structures the hundreds of thousands of parts data records across divisions with 99% accuracy and 1000x the speed of a human, correcting the system related data management challenges at the core. We harmonize his master data with millions of transaction movements and decisions to predict inventory, all with a Six Sigma reliability. We are creating the intelligent digital supply chain, an anonymous usage and reliability knowledge base for maintenance parts that improves data quality and predictions to benefit our customer network. This knowledge transfer and digitization of parts is vital to support the transition toward Manufacturing 4.0 including additive manufacturing, IoT Integration and Blockchain.
1-888-653-2347 
support@leadiq.com 
