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A recent report named ‘modernizing service systems’ as the biggest obstacle to delivering effective help desk services. It is why cumbersome and time-consuming manual classification systems are hardly being leveraged to resolve support tickets. They have been replaced by AI and ML-powered technologies - making it easy to streamline and speed up service management.
No matter how many issues, queries, and requests are raised, AI-driven automated ticketing analysis eliminates the need to hire more resources while ensuring that your agents are not burdened with a huge volume of repetitive support tickets.
IT consumerization is changing user expectations – so, modernizing your ticketing management system with AI and ML ticketing solution is only half the job done. Moreover, each enterprise comes with its unique set of applications and data sources. There are no ‘one size fits all’ approaches to overcome the challenges of AI-led service management that can even disrupt business growth - if left unchecked.
With Oracle E-Business Suite, you can enhance application functionality, mobility, and UI modernization to create operational efficiency and deliver great user experiences. No matter your technology environment, your CRM, ERP, and SCM systems can be securely automated with a streamlined reporting process. You also get a golden record of data to improve your service-related decision-making.
Free up resources and lower support costs by eliminating the chance of unchecked tickets.
Measure metrics like average cost per request and continuously improve resolution time.
Get actionable insights to improve resource utilization and rewrite ticket SLAs
Aspire offers support and maintenance services that take care of tax updates, regulatory updates, break/fixes, and general inquiry support across your technology application stack. We follow a unique methodology called the Wave-Based Approach for an effortless transition. Before initiating our primary support, we simultaneously enable knowledge transfer and shadow support for close to 3 weeks. This makes sure you get clear gating criteria for maximum transparency.
Aspire AI Service Optimizer takes advantage of all the ticket data extracted from multiple Oracle-led enterprise systems and applications. It passes this data from the big data layer and into the machine learning layer to build predictive models. Enterprises will be able to predict with remarkable accuracy ticket profiling, ticket assignment and reassignment efficiency, ticket volume management, and trend analysis of cost and ROI.
AI-Powered Ticket Segmentation
Analyze and segment historical tickets while predicting the probability of a new ticket being assigned to a given segment
Prediction of Resolution Time
Apply intelligent analytics based on previous TAT and other insights to predict the exact time taken for ticket handling and resolution
Prediction of Average Service Request Cost
Predict the cost and ROI by using past ticket management and tracking data for average cost per ticket or through a rule-based system
AI-Powered Ticket Segmentation
Prediction of Resolution Time
Prediction of Average Service Request Cost
Analyze and segment historical tickets while predicting the probability of a new ticket being assigned to a given segment
Apply intelligent analytics based on previous TAT and other insights to predict the exact time taken for ticket handling and resolution
Predict the cost and ROI by using past ticket management and tracking data for average cost per ticket or through a rule-based system
50% Increase in service improvement within defined SLAs
33% reduction in velocity of tickets
48% reduction in resolution time of tickets
60% reduction in engineering and help desk resource overheads
What’s your challenge in business applications?
Let’s work together to solve it.