prudsys RDE Modules

Business Cases

Applications for this module:

Shopping cart abandonment prevention

Shop personalisation

Mailing optimisation

Licence

RDE | Scoring module available as:

  • In-house server version
  • Hosted server version
  • OEM version

Overview licence models
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RDE | Scoring

prudsys RDE | Scoring

prudsys > prudsys RDE > RDE | Scoring

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prudsys RDE | Scoring - real-time forecasting of customer and user behavior

The prudsys RDE | Scoring module enables real-time or batchwise forecasting of customer and user behavior on the basis of individual master data. Forecasting can be used to predict customer choices in direct marketing transactions, to make individual customer forecasts, to identify fraud or to identify shopping cart abandonment.

Your benefit: Customized optimisation of marketing and sales actions, reducing shopping cart abandonments and fraud detection

Business scenarios

The prudsys RDE | Scoring module makes it possible to forecast certain user reactions based on profile information and behaviour patterns. A classic area of use is the optimisation of mailings with respect to the probability of reaction from the recipient.

Integrating scoring into the real-time world of the prudsys RDE results in additional, completely new solutions, including the forecasting and prevention of purchase cancellations, the detection of attemps at fraud and the classification of online shop visitors in new or returning customer.

How it works

The RDE | Scoring module uses individual master data (historic data or real-time data) to calculate and update decisioning models which are then used to forecast preset target parameters. The module procedures are able to calculate models before a planned action is implemented or in parallel with an action already running.

Advantages

  • Optimum use of customer potential
  • Fully-automatic, semi-automatic or manual mode available
  • Recommendations from real-time learning of user behavior
  • Patented procedure analysing large amounts of historic data

Key features prudsys RDE | Scoring

Applied algorithms:
Number of algorithms 10, e.g.

  • Univariate/multivariate decisions trees
  • Bayesian Networks
  • Support Vector Machine
  • Patented Large Data Sparse Grids

 

Integrated performance measurement:

  • Supports A/B testing and multivariate tests
  • Real-time statistics

Output channels:

  • Internet
  • Call center
  • Mail order
  • Stationary trade / high street shopping (in conjunction with loyality cards)

 

Applications:

  • Early detection of shopping cart abandonments in online shops
  • Forecast responsiveness (real-time or batch)
  • Response optimisation for mailings or in call center
  • Online shop personalisation
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