Xeligence for Telecommunications and New Media

Historically, telecommunications companies have been at the forefront of customer strategies across sales, service, and marketing. This in tandem with significant investments in CRM and customer focussed analytics has meant that telecommunications companies have strived to enable customer strategies and offers at every point of customer interaction.

In practice however most communications companies struggle to implement and utilise analytical capabilities at the most critical point – the real time relationship with its customers. In addition customer service organisations continue to struggle with communicating the ever widening set of calling plans, pricing options, retention offers and marketing programs to customers.

Telecommunications companies need a proactive solution that can predict and “operationalize” best offers for customers at every touchpoint . The same proactive solution must be able to implement segmentation schemes, retention plans, provide workforce allocation, next best call routing and many other applications, easily and swiftly.

Xeligence provides all the necessary pieces in aiding telecommunications companies to:

  • Increase ARPU by giving frontline staff real time fact based decisions on product offers
  • Reducing customer churn by rescuing deteriorating relationships before customers churn and taking automatic action.
  • Provide consistency and more targeted marketing communications across all channels
  • And much more…

Have a look at our Product Sheet for Telecommunications and New Media or Contact Us to learn more.

Want to Know More?
  • Why Xeligence?

      Compresses model building and deployment time from weeks to hours

      Has self learning and self training models – optimises, self manages, and recalibrates models with the arrival of new data and attributes

      The solution is “Delivered integrated” not just “Can be” integrated

  • Xeligence Features

    • Cross Functional Analytical Platform & Industry Solution Sets
    • Rapidly Integrates with Enterprise Applications
    • Deployable as a Real –Time Recommendation Engine
    • Self Training Data Mining Models: Eliminates the need for Statistician Assistance
    • Compresses the time and cost to build predictive models

  • Resources

    Customer Success
    Industries
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