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Use cases in telecommunications | H2O.ai
Use cases
Telecommunications
Use Cases
Each part of a carrier has its own problems, data, and rules. Start with your department.
Telecommunications overview
22 use cases
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Documents
Engagement
Field
Finance
Fraud
IT
Marketing
Network
Documents
1 use case
Legal research and aid assistants
An AI knowledge assistant that finds the statutes, cases and guidance behind a legal question and answers with citations a lawyer or paralegal can check, giving information, not advice.
Engagement
8 use cases
Call summary and resolution
Generative AI reads or listens to every recorded customer call, writes a short summary of what happened, and flags whether the issue was resolved so your team can follow up first.
Content and product personalization for marketing
Predictive models score which message, image, offer and product each customer is most likely to respond to, so every channel shows content built for them.
Customer care agent and chat deflection
A customer care agent answers subscribers' billing, plan, device and outage questions in chat from your own care knowledge, with a source for every answer, and hands off the rest to a person.
Next best action and offer
Machine learning that ranks the one offer, message or channel most likely to move each customer forward, so marketing sends one relevant action per customer instead of one campaign for everyone.
Predicting the cause of a support call before it's asked
AI predicts the likely cause of a customer's phone, broadband or TV issue from support history and network data, so agents resolve more calls the first time.
Support-call classification
Fine-tuned small language models that read every customer-care transcript and assign it to the right category, so contact centers can route follow-ups and fix the causes of repeat calls at full volume.
Telecom churn prediction and retention
Telecom churn prediction scores every subscriber's risk of leaving, explains why, and triggers the retention action most likely to keep them, before the subscriber calls to cancel.
Telecom upsell and next best offer
AI that predicts which plan, device, add-on or loyalty offer each subscriber is most likely to accept, and when, so marketing, care and retail present one relevant offer instead of the same promotion to everyone.
Field
3 use cases
Field dispatch optimization
AI forecasts how many technicians each area needs and matches the right technician to each job, so dispatchers start the day from a data-built plan instead of a guess.
Predictive fleet maintenance
Vehicle, telematics and repair data predict which truck parts will fail, so a fleet shop replaces them before a breakdown strands a technician, servicing each vehicle on its own risk.
Route and fuel optimization
Route and fuel optimization decides which technician drives to which job, so your fleet covers the day's work with fewer miles and less fuel.
Finance
1 use case
Strategic insight summarizer
An AI assistant that reads annual reports, earnings releases and company websites, then returns a company's strategic priorities, key results and opportunities, with the source cited for each point.
Fraud
3 use cases
Application and account opening fraud
Application and account opening fraud detection scores each new application for stolen identities, synthetic identities and mule risk before the account opens, so only risky applicants reach your fraud analysts.
Scoring phone orders for fraud before the device ships
AI scores every phone order, upgrade and new line for fraud risk before the device ships, sending your fraud engine a score with reasons so you stop more fraud without turning good customers away.
Verifying identity documents at onboarding
An AI assistant reads the identity document an applicant uploads at onboarding, checks each field for gaps, expiry and tampering, and returns a verified or flagged result.
IT
3 use cases
IT knowledge assistant for runbooks and tickets
An IT knowledge assistant answers your engineers' questions from your own runbooks, tickets and postmortems, and cites the source behind every answer.
Sovereign AI coding assistant
A sovereign AI coding assistant runs an open coding agent against models and endpoints you control, so source code, prompts, and agent actions stay inside your network.
Text-to-SQL for enterprise data
Fine-tuning a small open model on your own schema so business users can ask a database a question in plain English and get accurate SQL back.
Marketing
6 use cases
Content and product personalization for marketing
Predictive models score which message, image, offer and product each customer is most likely to respond to, so every channel shows content built for them.
Lead scoring
AI lead scoring ranks every lead by how likely it is to become an opportunity and revenue, learning from the leads that converted and the ones that did not.
Next best action and offer
Machine learning that ranks the one offer, message or channel most likely to move each customer forward, so marketing sends one relevant action per customer instead of one campaign for everyone.
Smart segmentation
AI smart segmentation groups customers into small, well-defined microsegments by shared behavior and intent, so your marketers can target and explain who is most likely to respond to each message.
Telecom churn prediction and retention
Telecom churn prediction scores every subscriber's risk of leaving, explains why, and triggers the retention action most likely to keep them, before the subscriber calls to cancel.
Telecom upsell and next best offer
AI that predicts which plan, device, add-on or loyalty offer each subscriber is most likely to accept, and when, so marketing, care and retail present one relevant offer instead of the same promotion to everyone.
Network
1 use case
Network incident triage agents
A chain of agents that correlates network telemetry and alarms, opens the ticket, drafts remediation from your runbooks, and writes the post-incident summary.
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