For today’s service organisations, meeting and exceeding stringent requirements while delivering world class service is essential in order to stay competitive in the dynamic and global economy.
Some of the multifaceted challenges that service organisations face include compound part relations, demand prediction, multiple supply sources and complex supply chain flow. Accurate service parts forecasting is challenging when considering a mix of slow and fast-moving parts with sporadic demand.
CAD-IT’s Service Parts Management solution specifically addresses the challenges and opportunities of global service supply chains, enabling service organisations to maximise their local and global potential, delivering world class customer service while balancing and reducing costs.
With connected assets, service organisations can utilise data from the assets to forecast and plan spares demand to:
CAD-IT’s Connected SPM enables service organisations to increase forecast accuracy, reduce inventory investment and improve service levels and equipment availability.
With the constant threat of non-authorized parts, it is tough to maintain a competitive edge. Finding the optimal price point for every service part in your portfolio has never been more critical to your profit margins and revenues.
CAD-IT’s service parts pricing module is specifically designed for the unique complexities of pricing service parts
Considering a service parts management solution? Here are the top 5 questions to ask your service stakeholders.
Our SPM solution can can house complete product configurations, model probabilistic maintenance bills of material (BOMs), and direct the rebalancing of materials across global networks to achieve the highest availability.
All these are hosted on a single system ensuring that proposal development, contract negotiations, initial provisioning, forecasting, strategic planning and day-to-day tactical planning all have common data structures and modeling assumptions.
SPM enables your service organisation to optimise inventory globally, minimise excess or shortage conditions, analyze service supply chain performance, achieve service targets and manage network-wide considerations and constraints.
Advanced Parts Forecasting
Inventory Planning and Optimization
Robust Lifecycle Analysis
Innovative Scenario Modeling
Advanced Order Planning