Industries — Telecommunications

Unlocking Telecom Data

AI-Powered solutions for telecom optimization and growth

Telecommunication companies generate massive amounts of data on network usage, customer behavior, and billing information. Aishore can help them unlock the value of this data in several ways:

Predictive Maintenance for Network Optimization and Efficiency: AI can analyze network data to predict equipment failures before they happen. This allows for proactive maintenance, minimizing downtime and improving network reliability.
Enhanced Customer Experience: Chatbots and Virtual Assistants: AI-powered chatbots can handle routine customer inquiries, freeing up human agents for more complex issues and improving customer satisfaction
Customer Churn Reduction: AI can analyze customer data to identify churn risk and predict which customers are likely to leave. This allows for targeted retention campaigns to keep valuable customers.

Use Case

ML Powered customer satisfaction Insights

One of the most valuable aspects of Text Analysis is the ability it has to give you a holistic view of your customer and employee feedback

Lack of Context in Quantitative Metrics

Quantitative data like NPS and CSAT provides numbers but lacks the reasoning behind customer and employee behavior.

Understanding Feedback at Scale

Handling large volumes of open-text feedback requires tools like NLP and clustering to derive actionable insights efficiently.

Identifying the Root Cause of Issues

Pinpointing why performance metrics, like NPS, drop without qualitative insights is a significant challenge.

Limited Visibility into User Experience

Numerical data alone cannot fully explain issues such as customers finding a website difficult to use, requiring text analysis to uncover deeper insights.

Solution

We provided professional services to help our customer design the right system for their needs to reduce the manual efforts of reading millions of comments and summarizing them.

Open-text responses are the key to answering these business-critical questions, and NLP + Clustering helped us to do it at scale.

We built and integrated the tool + BI layer with the current data infrastructure on the Cloud to provide our customer with the reasons behind:

Why their customers and employees feel and act the way they do.

Why their NPS is falling this quarter.

Why their customers rating their website as difficult to use.

Telecommunications