Business scenarios

Realizing specific scenarios in a faster and better way is secured by the use of templates and best practices methods. Such templates exist for Next Best Offer, Credit Limit Optimization, Churn Prevention and Campaign Execution.

Business scenarios supported by DynaCision

Next Best Offering – individualized offers for every single customer in every situation at any time – DynaCision with NBO

Just imagine the different situations of an inbound call, an attendance in your store or a customer surfing the internet. Making the best fitting offer in every single of these situations will raise your existing customers’ total revenues and will therefore bring significant competitive advantages. DynaCision secures individualized matching offers for all connected contact channels. And this will bring more than a positive customer experience but also verifiable higher conversion rates. The calculation for the recommended offers is based on individual histories of transactions per customer as well as the related context. This leads to different recommended offers per context e.g. there will be different recommendation in case of a complaint compared to that one given in case of a concrete interest in buying a special product. The offers are shaped by self-learning systems and ensure therefore a further development. Remember that it is still possible to overrule the recommendations e.g. in case of a concrete campaign.

CLO credit line optimization – from static rules to dynamic decisions

Nowadays decisions are often made by static rules: e.g. a customer with less than two reminders and total revenues exceeding 1.000€ is allowed to pay orders up to 300€ via invoice. All orders on invoices not matching this scheme will be refused paying no attention on how valuable this customer is. The revenue and in worst case the whole relationship to the customer could get lost. If you want to realize better success rates you need to make dynamic decisions based on analytical models. Using DynaCision means all information available at the moment of decision will be intelligently linked to reach best results. Analytical models are the best support for automated and individualized decision making.

Churn Prevention

Nowadays decisions are often made by static rules: e.g. a customer with less than two reminders and total revenues exceeding 1.000€ is allowed to pay orders up to 300€ via invoice. All orders on invoices not matching this scheme will be refused paying no attention on how valuable this customer is. The revenue and in worst case the whole relationship to the customer could get lost. If you want to realize better success rates you need to make dynamic decisions based on analytical models. Using DynaCision means all information available at the moment of decision will be intelligently linked to reach best results. Analytical models are the best support for automated and individualized decision making.