Smart Order Validation – Powered by Predictive Analytics

Most order management implementations rely on an ‘order entry – order orchestration – order execution’ philosophy. It’s a commonly used model, although providers are regularly heard to comment about a lack of visibility into orders, once a service delivery process has begun. This lack of visibility leads to a poor experience for customers who in many cases suffer a poorly configured service and are generally first to flag that there is an issue. The problem is likely to grow and become more relevant to mobile operators, as end-to-end LTE service rollouts and complex Enterprise mobility solutions (including BYOD), add an increasing amount of touch points in the network.

A big challenge faced by CSPs with traditional order management is costly order fallouts. With a lack of visibility and control throughout the order orchestration process, both network resources and the workforce can be deployed or dispatched at incorrect times – typically when earlier pre-qualification stages of service order orchestration have failed to complete. This can be costly in operational and investment terms.

What if you could intelligently and proactively analyse requests for service, before they are placed as orders in the system? What if you could use predictive analytics to perform “smart validation” of orders as they come in, to judge which orders are expected to cause problems?  What if you could proactively treat these orders differently? – assign them to a special queue to specifically address and ensure customer satisfaction. Is it possible to leverage fulfillment and analytics to be preventative instead of purely reactive?

Deep analysis into the data used at each critical stage of order orchestration can help to predictively validate feasibility, reveal patterns and identify input behaviour that contributes to higher order fallout rates. Armed with advanced and analytically-enriched information, CSPs can effect real improvements to service delivery accuracy, aid in the improvement of business processes and help to drive down operational costs.

Comptel are available at Mobile World Congress in Barcelona 25-28 February to discuss this and other topics including:-

• Personalising policy and charging powered by predictive analytics
• Monetising mobile broadband with contextual marketing
• Improving QoE based on expected customer value
• “Making inventory work” with a federated approach