Quantum Control, a leading ERP solution for MRO in the Aerospace Industry, integrated with Celonis Process Mining, the leading Cloud Process Mining solution, offers Game-Changing capabilities to drive your success. STX Consulting offers Rapid Discovery process mining solutions to enable your team to quickly visualize and identify process issues, act on and resolve those issues. Drive elite levels of customer satisfaction and efficiency.
STX Consulting leverages off-the-shelf integration between Celonis Process Mining and Quantum Control ERP to extend the platform.
Identify, Analyze and Resolve the challenges to drive improved TAT and Customer Satisfaction. Gain unparalleled visibility into your process. Improve your dialogue with your customers by easily communicating the status of their orders or automate sharing customer order status.
Analyze and identify Recurring Part Shortages, Better Lead Times, Substitute Part Options and Supplier Performance, to drive reduced costs and better cycle times (TAT).
Improve inventory management by easily identifying and reducing aged inventory and inventory valuations. Prioritized Part Numbers and their attributes such as stockline and storage location, quantity, last time touched and carrying costs are at your fingertips or delivered into your inbox.
Use Celonis to streamline day to day activities in your Quantum Control system. Celonis provides an intuitive User Interface for your Analyses so your user productivity goes up. Stranded Work Orders, Part Shortages, Waiting on Customer Approvals,... are all Events that can be easily systematically managed, freeing up your team to spend time on higher value add activities.
Improve your customer relations by being in a position to share visibility into their orders and proactively manage order related issues, resulting in increased orders and confidence.
Easily benchmark data comparing performance of plants, work cells, customers, part numbers, costs, prices, components and other meaningful data and identify and adopt best practices across processes.
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