Global industries are switching to AI for streamlining operations, reducing operational costs, and providing better value to their customers. From backend management and supply chain to marketing and sales, AI is overtaking all key operations.

The aftermarket operations are no different. Without AI, OEMs face bottlenecks in operations like managing spare parts catalog, service manuals, warranty claims, and coordinating with dealer networks. AI-led automation removes these bottlenecks and keeps efficiency to the maximum.

Intellinet Systems, a trusted software provider in the aftermarket industry, has developed a complete AI ecosystem. All of the solutions in their ecosystem are under constant improvement to help OEMs provide state-of-the-art AI tech.

Core Components of an AI-Powered Aftermarket Ecosystem

The Intellinet Systems ecosystem is organized into several solutions, each designed to address the key requirements of an OEM.

1. Smart Parts Cataloging

Part misidentification and wrong part ordering mean added logistics and reverse logistics for OEMs. It keeps the service technician engaged, increases equipment breakdown time, and often leads to customer frustrations.

Intelli Catalog helps OEMs manage, distribute, and update spare parts catalogs in real-time. It comes with best-in-the-industry part highlighting and hotspotting features to remove all part misidentification issues. Its other features include multiple search options (VIN/Serial number, model, figure) and an AI-powered voice and visual search. Technicians can simply point their smartphone at the equipment to find the replacement part in the catalog.

2. Intelligent Demand Forecasting and Inventory Management

Restocking inventory levels in a huge dealer network requires a proactive approach. The larger the network, the more alert an OEM needs to stay for future requirements. Intelli Forecast monitors historical data, along with external factors such as demand fluctuations, weather conditions, regional sales, or part breakdown reports from dealers. It helps OEMs prevent understocking to maintain high customer satisfaction levels, and even overstocking to save on huge logistics and reverse logistics costs.

3. Predictive Maintenance and Service Optimization

With the help of IoT-enabled devices, OEMs can ameliorate their predictive maintenance. IoT devices analyse real-time data for equipment health monitoring purposes and raise an alert before the breaks down, so that OEMs can provide resolution in time.

Likewise, with the help of Intelli Manual, OEMs can offer better aftermarket services to their customers. Intelli Manual helps OEMs create interactive service documentation that can be accessed with the help of voice and chat. Service technicians don’t need to browse through bulky manuals and can quickly access the information required to repair the equipment. Moreover, Intelli Manual can also generate AI summaries to speed up repair.

4.  Automated Warranty Claims Processing

AI-based warranty claims processing not only speeds up the process but adds precision to it, with limited scope for warranty fraud. Each year, OEMs have to spend 3-10% of their warranty budget on fraudulent claims, which can be easily resolved with the help of an AI-based warranty management system like Intelli Warranty.

Intelli Warranty automates the claims process and puts tabs on factors like warranty claim history, date of purchase, proximity to warranty end date, cost of claim, labour costs, inventory data, dealership history, and more to prevent warranty fraud.

5. AI-Powered Customer Service and Technical Support

68% of consumers are willing to pay more for products and services if the brand provides a better customer experience. Without AI, the customer service experience is costly, hectic, and tedious. After integrating an AI-powered system, OEMs can witness a reduction in labour costs, improve accuracy in answers, and provide both voice and chat customer support options. AI can also access real-time customer ticket updates and share them with customers. 

Some AI-customer service solutions even allow customer support teams to take over a conversation and provide specialized information to customers.

6. Personalization in Marketing and Pricing

The entire aftermarket strategy relies on providing and optimizing hyperlocal experiences. AI takes personalization and localization to the next level. It can help OEMs figure out better pricing strategies for their diverse target regions, while local dealers can offer personalized discounts. OEMs can figure out geo-specific consumer preferences faster and also optimize their communication channels for the same.

Conclusion

The aftermarket is revolutionizing. To provide better value, it needs to switch to AI fast, and random business tools won’t help. OEMs need a dedicated AI-powered ecosystem to undergo a complete digital transformation that is relevant for modern times and the future.

That’s exactly where the Intellinet Systems AI ecosystem fits in. Their solutions provide end-to-end support for aftermarket operations, and the company is still investing thousands of hours in research and development to make sure that OEMs get the best solutions to dominate the market. For becoming future-ready, investing in such an AI ecosystem is absolutely necessary.

Ready to transform your aftermarket operations with a complete AI ecosystem? Book a free demo today and see how Intellinet Systems can future-proof your aftermarket workflows.