Kleptika’s use-cases:

Artificial Intelligence for telecoms: customer satisfaction, predictive troubleshooting of equipment, and BI analytics.

Telecommunications is one of the fastest-growing industries, and also the one using artificial intelligence and machine learning in many areas.

Hyper Automation of workflow dramatically improves customer experience by delivering predictive and self-care troubleshooting of remote devices such as routers, IPTV, cable terminals, etc., while drastically reducing workload on front-end and support agents.

Deep Neural Network and Robotic Automation speed the customers’ management processes, combined with mobile interfaces delivering efficient self-service capabilities.

On another hand, understanding customers’ lifestyle and mobility make behavioral intelligence a key data provider to stay ahead of the competition by providing the right service and the right product to the right segment.

At the backend, Robotic Process Automation brings efficiency and accuracy to higher levels in the huge volumes of transactions.

That is why Kleptika can define with you the most effective journey to transform your business.

Bulb Cempresso hyper-automation workflow

Hyper automation workflow

  • Low-code / No-code workflow design.
  • Predictive, self-care, and assisted troubleshooting of remote devices.
  • Omnichannel customer experience through phone, web, app, chatbot, and social media.
  • Machine learning analytics.
  • Integration to all backend systems, ERP, CRM, etc.
Moonoia DocBrain Deep Neural Network DNN document processing

Ai / DNN
Deep Neural Network

  • customers management (onboarding, updating, cancelling)
  • anti-fraud documents analysis
  • technical reports digitalization
  • bulk invoices processing
  • GDPR
Sentiance behavioral Intelligence

Behavioral Intelligence
Lifestyle – Mobility

  • customers’ lifestyle profiling: better product strategy, better CX and UX, predictive communication
  • mobility behavior monitoring: anticipate customers’ needs
  • anti-fraud
  • social care
Robotic Automation RPA RDA

Robotic Automation

  • reconciliation of data between systems
  • customer services (registration, cancellation, renewal)
  • frontend and backend processes automation

Insights and related articles

85% of customer interactions should be handled without a human agent by end of 2020.

79% of telecom CMOs plan to boost customer experience with AI.

19% of telecom companies will adopt AI within by 2023.