Powering aftermarket support with an Equipment 360 view: Optimize, streamline, and excel
In our recent Unlock insights, predict challenges and resolve issues with an equipment 360-view, we discussed the transformative impact that a 360-view of equipment can have, by using AI to connect the dots between various disparate data streams—such as parts inventories, maintenance records, and operational data.
We now explore how creating a unified view of parts inventories, maintenance histories, and performance data can elevate aftermarket support. By adopting an Equipment 360 approach to aftermarket services, companies can ensure efficient order fulfillment, minimize returns, unlock new revenue possibilities, and improve customer satisfaction.
Aftermarket support challenges
Over years of working with OEMs across the manufacturing spectrum to build and deploy specialized, equipment-focused AI solutions, we’ve seen and learned from recurring challenges and trends affecting aftermarket organizations:
Inventory management
Legacy inventory management systems are not designed to handle the diverse data streams and advanced modeling required for predictive analytics. This inefficiency can result in stockouts causing repair delays and equipment downtime, while holding too much stock ties up capital and occupies space unnecessarily, burdening resources.
Warranty and claims cost management
Managing a multi-step process involving warranty providers, OEMs, and distributors presents several challenges. Inefficient claim processing, where manual processes slow down verification and approval, increases administrative costs, and reduces customer satisfaction. The lack of data integration complicates decisions on approvals and subsequent actions.
Controlling the cost of parts returns
Parts returns and exchange processes can significantly erode profit margins by increasing operational expenses due to high transportation costs, restocking fees, and potential losses from product obsolescence.
Missed sales opportunities
Fragmented customer and equipment data and systems, prevent a complete view of customer usage patterns. This makes it challenging to deliver tailored solutions to the right customers at the right times, resulting in poorly matched recommendations and missed upsell and cross-sell revenue opportunities.
See clearly, act decisively with a 360-degree equipment view
Creating an AI-powered 360-degree view of inventory, parts, claims, and service data delivers a unified, transparent view that helps cut through complexity by providing predictive intelligence and automated actions that can transform traditionally reactive tasks into a strategic, proactive advantage. With an equipment 360 view, aftermarket support challenges outlined above can be turned into opportunities to reduce costs, drive incremental revenue, and optimize performance:
Predictive, proactive inventory management
- Creating a 360 view combines past equipment usage and maintenance records to accurately predict future maintenance needs and demand patterns. This enables precision forecasting of inventory levels, minimizes excess stock and associated costs, and reduces the risk of stockouts.
- With new insights into inventory and part usage, organizations can manage procurement efficiently. Identifying parts that are low in stock or have high failure rates allows for prioritized and timely purchases, maintaining the availability of crucial parts and reducing equipment downtime.
Streamline cost per claim
- Connecting the dots between historical service issues and records, claims, and parts data enables seamless assessment, validation, and auto-approval of claims. Additionally, excessive claims or those requiring an exception can be immediately identified and routed for further review and approval, reducing administrative overhead and speeding up service delivery.
- Real-time evaluation of equipment usage metrics, service histories, and market parts pricing informs claim eligibility and detects potential fraud, ensuring a fair and efficient resolution process.
Prevent returns preemptively
- Creating a unified view of issue analysis, service history, and part records allows AI models to deliver highly accurate predictions of the parts needed to fix an issue, proactively reducing the number of mistaken orders, returns and associated costs.
- Discover and predict all the associated parts needed to resolve an issue, for example, a gasket or other fittings that must be replaced along with a main part to fix the issue first time, delivering both increased efficiency and better customer service.
Personalize customer offerings
- The ability to connect customer usage patterns, equipment and purchase histories enables tailored sales offers such as suggesting accessories or upgrades.
- Equipment performance data and maintenance history can be used to forecast future customer needs and preferences, like preventive maintenance contracts or recommended replacements for aging or obsolete machinery.
Create your unified view with Equipment 360
Today, 85% of service organizations are considering or have already budgeted for investments in AI.1
Bruviti’s specialized Equipment AI is the engine that powers an Equipment 360 view. Built for seamless integration with your existing IT infrastructure, it is embedded directly into your environment, giving you full control and ownership. It operates securely within your firewall, ensuring that sensitive data stays within the organization. The Equipment AI is designed from the ground up to be deployed within 5-7 weeks, allowing your team to focus more on leveraging insights instead of managing data logistics.
Contact us and discover how Equipment 360 can transform your aftermarket capabilities—schedule a live demo to witness these benefits in action.