Jordan-based operator Umniah has awarded business support systems company Tecnotree a new multimillion-dollar deal.
With this project, Tecnotree says it aims to provide AI-embedded BSS customer engagement for the operator. The deal, implementing a full BSS stack along with the Tecnotree Sensa Intelligence platform, operationalises AI across business workflows.
Umniah’s aim is to upgrade its current customer relationship management (CRM) system with a new customer experience (CX) implementation, targeting improvements in net promoter score (NPS), reduction of churn and an increase in ARPU.
As part of the agreement, Tecnotree will deploy Sensa AI-embedded BSS applications streamlining the AI development life cycle and driving faster time to value across products.
The applications will include a dynamic bundle of product catalogues, digital self-care and customer management, and catalogue-driven order management. There will also be demand generation through omnichannel campaigns and configurable integration with leading social networks, lead and funnel management, and enterprise workforce management with business process orchestration. Other applications are business intelligence and analytics capabilities, enterprise and consumer service request management, partner management, E-Shop (marketplace) and B2B self-care portal.
Tecnotree says the solution will provide the operator with a unified solution with embedded intelligence for transformation across all applications that enables B2B2X cross-sell and up-sell capabilities.
Commenting on the new deal, Padma Ravichander, CEO of Tecnotree Corporation, explains: “Our digital BSS stack embedded with Tecnotree Sensa AIML capabilities will enable the customer to improve business agility and respond faster to market dynamics while humanising experiences and empowering customer journey life cycle with Sensa hyper-personalisation.”
He continues: “The transformation will also enable them to optimise operational costs, while significantly improving revenue monetisation capability with our AI/ML-based insights and recommendations.”
