prudsys RECOMMENDATION ENGINE - Module (add-ons)

Controlling and reporting

The learning characteristics of the prudsys RE and statistics of the operative system are continuously evaluated. Thanks to numerous pre-defined reports, OLAP and geomap functions, MERKUR MINER PLUS, also a part of the prudsys RE, allows for quick analysis of this data. This makes interactive analyses on various aggregation levels and automatic reports as office documents possible. Since the prudsys RE has or collects all major master data and transaction data of the operative system, it can also be used for integrated reporting such as for web shops.

Newsletter

The newsletter module provides newsletter recipients with custom offers. Based on the clicking pattern in the newsletter and the surfing and purchasing behaviour in the online shop as well as purchase data from other areas such as offline orders or data from POS business, highly personalised offers are automatically generated for each individual recipient. Newsletters can be delivered static with fixed recommendations or dynamically completed with the link to the online shop.

Real time scoring*

This module lets you include custom customer master data for automatic customer selection and recommendations. Application examples for customer selection include optimisation of direct mailing or outbound calls in call centres, in which case sales quotas several hundred % higher and corresponding sales increases can be reached. In addition, it is possible to place individual product and category recommendations as well as ad banners and promotions using real time scoring.

Dynamic price optimisation* 

Dynamic price optimisation means that product prices are varied and adapted in real time.

Since the prudsys RE is constantly communicating with the users, it is the perfect instrument for getting to know customers' purchasing patterns and to react to changes immediately. The prudsys RE is thus perfect for dynamic price optimisation because the knowledge gained from it can be used to optimise prices.

The result was the world's first product for dynamic price optimisation with numerous features. Various price optimisation methods are available for different application areas. The main distinctions are between

In addition, the dynamic price optimisation module allows the provision of price strategies (maximising product profitability, turnover or sales, price leaders or price followers, high or low prices etc.)

The price elasticity is constantly adapted via adaptive regression methods and combined with exploratory price tests to expand the search room. Cross price elasticities within categories can be integrated. For price observation, reinforcement learning methods are applied to factor in psychological customer behaviour to price changes. Analogous to product recommendations and real time scoring, the offline mode for learning from historical sales data (optional) and the online mode for actual dynamic price optimisation are used.

* The enterprise version of the prudsys RE is required for the real time scoring module and dynamic price optimisation

Add-on module (third party)

As a middle layer, this add-on module takes on the task of extracting content from the individual applications and their respective data sources (content supplier) and then to make this data available to the different output formats (content consumer). On the consumer side it contains numerous connectors to POS systems (tills, scales, PSAs, PDAs, terminals, etc.), and for suppliers it has connections to important back-end systems (pirobase family, SAP, etc.) including the prudsys RE.

Relationship management engine (agentes AG)

Recommendations from the prudsys RE can be used via the Relationship Management Engine (RME) to automatically, individually and personally control campaigns using various channels. That means that customers who have cancelled a purchase process, for example, receive emails with individual offers. The RME supports automatic campaign control via various channels such as letters, emails and SMS.

Recommendation net (ZSoft Ltd.)

The recommendation net enables visualisation of prudsys RE recommendations using interactive network graphics. The visualisation can be refined recursively. The recommendation net module is implemented for easy integration into Flash.

For more information on the prudsys RECOMMENDATION ENGINE
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