Artificial Intelligence in Telecommunications 2025
Page 12 of 29 · WEF_Artificial_Intelligence_in_Telecommunications_2025.pdf
Sales and marketing
Value: drive business growth,
differentiate customer experience
Marketeers strive to reach the right person with
the right message at the right time, but limitations
around content creation and the diversification of
digital channels have, so far, made this impossible.
GenAI addresses these challenges by providing
the required channel and content sophistication.
While traditional AI-driven digital advertising
solutions already perform advanced customer
segmentation in B2C channels, combining
traditional AI and genAI allows for hyper-
personalized content and customer journeys.
These tools refine customer segmentation at a low cost, tailoring messages to individual needs
and maximizing the impact of every interaction.
Traditional AI and genAI enhance B2B lead
enrichment by analysing prospect attributes to
prioritize leads and recommend the most suitable
solutions or services, improving efficiency across
B2B sales teams.
In direct sales, genAI assistants can support sales
agents with insights via personalized sales scripts
and intelligent recommendations on the products
and pricing to better engage the customer.
These use cases rely on historic customer data,
which can perpetuate biases or prejudices across
sales actions or recommendations. To mitigate this,
businesses must introduce close data monitoring,
extensive testing and guardrails to protect consumers.
Driving sales with Telefonica’s Next Best Action AI Brain BOX 1
Telefonica’s Next Best Action AI Brain uses an
in-house Kernel platform to revolutionize customer
interactions with precise, contextually relevant
recommendations. It analyses both contextual
and non-contextual customer data, integrating
behavioural patterns and preferences to anticipate
needs. This allows for hyper-personalization of product, service or action offers, boosting
conversions and customer satisfaction. Initial
implementations have shown sales increases of
nearly 20% and conversion rates of around 30%.
The result is an enhanced customer experience,
increased loyalty, and superior ROI in commercial
and marketing efforts.
Product and services
Value: drive business growth,
differentiate customer experience
The shift from telco to techco hinges on the ability
to expand a service offering beyond connectivity to
offer personalized portfolios and configure network
QoS to meet expectations.
For connectivity-based services, real-time service
configuration powered by genAI can dynamically
adjust network settings or service configurations
to enhance the customer experience through a
unified central interface. For example, it can adjust
bandwidth allocations in real time to meet specific
needs, such as streaming or gaming services.
Traditional and generative AI can help SMB and
enterprise clients curate customized service
packages aligned with their business goals, adapting
these offerings to the company’s evolving needs.AI can support precise predictive customer
segmentation models, enabling real-
time customer management and product
development based on complex data sources.
Once segmentation personas are identified, AI
can refine pricing decisions through elasticity
models and propose need-based service bundles.
These outcomes must be tested to reduce bias
and discrimination.
As CSPs build their own AI assets and capabilities,
they can also capitalize on existing trusted customer
relationships and the convenience of a unified
bill to offer white-labelled versions of in-house
AI services, such as chatbots or security solutions.
These AI-enabled products and services can
be bundled into a comprehensive offering alongside
communications products where appropriate.
Within B2B, extensive opportunities exist for CSPs
to provide AI-related offerings across infrastructure,
AI capabilities and end-industry solutions. These are
detailed in Section 2.2. AI can support
precise predictive
customer
segmentation
models, enabling
real-time customer
management
and product
development.
12 Artificial Intelligence in Telecommunications
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