The Product Life Cycle Management Analytics app is developed to focus on different phases of a product’s life cycle and their status in a given time period. The solution seeks to assess various change requests created for different parts in a project. It also incorporates the prediction of change request count for future timelines.

Performs service management analysis across siloed functions to drive customer satisfaction and cost efficiency, and reduce revenue leakage

Warranty Analytics leading to next best actions at the business process level. Helps contain rising expenses related to warranty and improve the post-sale customer satisfaction.

Predicts problems in implementing preventive measures and maintenance or replacement to sustain performance, avoid downtime and reduce costly damage.

Identifies important influencers impacting software product, machines and accessories sales conversion from pipelines opportunities with the help of information which includes geographic, sales types, business units, sales amount etc.

Helps analyze, annotate and classify speech recordings containing customer calls, feedback or any other audio recordings. Enriches the output with NLP based sentiment analysis and topic classification.

Provides the analyst with an end-to-end understanding of the dispute causes - TAT, root causes etc. Eliminates unwanted delays in classification and quick turnaround of dispute resolution.

Helps predict probability of part failure in industrial machines in real-time and therefore reduces future part failures and warranty cost. Enhances customer satisfaction by proactively addressing quality concerns.

Enables the plant manager to analyze and estimate defective material coated on protective sheets used in roofs/walls for homes and industrial buildings. The predictive framework helps business to deploy methods to manage efficiency and reduce production cost.