catalogONE for accelerating the digital transformation
Intelligence inside
To address the request for AI-based recommendations and optimizations, CatalogONE includes a recommendation engine along with predictive analytics and dashboards. It makes contextual recommendations for optimizing offers and avoiding promotion cannibalization, and reduces the new offer ideation cycle time.
With intelligence inside, CatalogONE sends alerts and notifications to relevant stakeholders during offer creation and management processes to help users ensure that the offering or campaign is optimally configured, targeted, and priced for maximum profitability.
Denise, a marketing manager at NXT, has created a TV, internet, and mobile bundle. Since its launch, the intelligence dashboard in CatalogONE shows her that the KPIs of the new bundle are lower than planned, regarding adoption rates, social engagement, and sentiment.
With AI-driven recommendations, CatalogONE suggests that she should apply a discount when a customer makes a purchase and then shares it via social media. As a result, Denise has tackled each of her three under-performing KPIs, all in one shot.
Simple & easy deployment
Because CatalogONE is cloud-native, it is available for immediate use and eliminates the need for the time that is typically required for installing and configuring hardware, network, and the application itself.
And, since it requires no system nor catalog replacements, sitting on top of existing catalogs and BSS systems, it helps service providers avoid the overhead of big complex projects and hit the ground running with their catalog modernization.