The prudsys RDE | Recommendations module now features easier importing and exporting of complete configurations and recommendations thereby making it possible to increase the relevance of personal recommendations for e-commerce, mail order and high street shopping. Existing templates complete with all their filters and parameter settings can now be comfortably and safely transferred to other RDE programs.
The interactive statistics in the prudsys RDE | Newsletter module enable the easy and immediate rating of the success of personalised mail shots - all in realtime. The flexibility of the module has been considerably increased by the introduction of template based recommendation questionnaires.
In the last six months the prudsys RDE | Pricing module, now featuring many new algorithms, has been thoroughly tested in a series of pilot projects. This means that prudsys customers can now reap the benefits of a broad range of new functions. Expansions to the module include hybrid price optimising processes based on single and product groups. In addition, the pricing module now includes a price optimising algorithm developed specifically for the outlet and sales areas.
Scoring methods are also among the important factors in data mining. Scoring is indispensable for optimising mailings, calculating saleability ratings and forecasting cancellations. This is why the prudsys RDE | Scoring Online module now incorporates algorithms for calculating, adjusting and improving scoring models in realtime.
It will also be possible to upgrade the prudsys RDE | Assortment Planning module with the new analytical processes currently in the pipeline. New on-line planning procedures now enable daily forecasts about product sales taking into account the amounts of incoming and outgoing products in realtime.
The sixth module in the prudsys RDE product family, the RDE | Data Cleansing module has also been extended with new processes. So, for example, in the future it will be possible to make an on-line duplicate search to test an address or to compensate data. All in a few seconds. While an address is being entered it is possible to identify duplicate data sets. This is one way of automatically preventing potential fraud when people give false addresses in an on-line shop.
"With these new developments we are now much, much closer to achieving our aim of creating a standard realtime analytics world without static data pools" , says Dr. Michael Thess, President and Director of R&D at prudsys AG.
The interactive statistics in the prudsys RDE | Newsletter module enable the easy and immediate rating of the success of personalised mail shots - all in realtime. The flexibility of the module has been considerably increased by the introduction of template based recommendation questionnaires.
In the last six months the prudsys RDE | Pricing module, now featuring many new algorithms, has been thoroughly tested in a series of pilot projects. This means that prudsys customers can now reap the benefits of a broad range of new functions. Expansions to the module include hybrid price optimising processes based on single and product groups. In addition, the pricing module now includes a price optimising algorithm developed specifically for the outlet and sales areas.
Scoring methods are also among the important factors in data mining. Scoring is indispensable for optimising mailings, calculating saleability ratings and forecasting cancellations. This is why the prudsys RDE | Scoring Online module now incorporates algorithms for calculating, adjusting and improving scoring models in realtime.
It will also be possible to upgrade the prudsys RDE | Assortment Planning module with the new analytical processes currently in the pipeline. New on-line planning procedures now enable daily forecasts about product sales taking into account the amounts of incoming and outgoing products in realtime.
The sixth module in the prudsys RDE product family, the RDE | Data Cleansing module has also been extended with new processes. So, for example, in the future it will be possible to make an on-line duplicate search to test an address or to compensate data. All in a few seconds. While an address is being entered it is possible to identify duplicate data sets. This is one way of automatically preventing potential fraud when people give false addresses in an on-line shop.
"With these new developments we are now much, much closer to achieving our aim of creating a standard realtime analytics world without static data pools" , says Dr. Michael Thess, President and Director of R&D at prudsys AG.
