Real-time decisions in e-commerce

Improve the shopping experience for each shop visitor with a personal approach based on individual customer interests. prudsys RDE processes this information to prepare and display personalised content which serves to guide the individual visitor quickly to the part of your shop that really interests that particular visitor. Personalised content is displayed primarily as personalised recommendations in the My Shop areas which have often shown a particularly high conversion rate in the past.

Increase the turnover and conversion rate of your online shop with relevant product recommendations, stimulate impulse purchases and take full advantage of the up- and cross-selling potential of your product ranges. Recommendations are items which during a session and during the entire interaction with the customer are most likely to maximise sales. Each customer action (e.g. clicks, shopping baskets, purchases, search queries and wish lists) and all customer reactions to displayed recommendations are immediately included in the generation of new recommendations. The self-learning function of the module prudsys RDE | Recommendations has ensuring that the creation and display of recommendations immediately takes into account environmental factors (e.g. the time) and changes in buying behavior (e.g. following marketing actions).

Optimise your margins through the automatic real-time adjustment of prices on the basis of measured price elasticity and the systematic acceptance testing of price changes. Find the optimum product price for a particular time period or adjust prices to several criteria (customer purchasing behavior, value patterns for fresh products and product availability.

Convert visitors into buyers through the automatic display of the most effective advertising material from your library of teasers and banners. For this process ready-made variants of display content such as teasers will be supplied. prudsys RDE will automatically select and display the best advertising material from this library of ready-made material. Displays can be optimised on the basis of customer reactions to each piece of advertising. For example, if a particular banner attracts more clicks, shopping baskets and sales, it will be given a higher rating and will be displayed more often. Changes in customer behaviour due to external factors such as seasonal changes, changes in the weather and parallel marketing actions will be recorded and taken into account in displays. prudsys RDE ensures that only the most effective advertising is used without the need for any time-consuming manual testing.

Help your visitors to find what they want quickly. Offer recommendations based on search terms and user behaviour and then rank search results by degree of relevance. The behavior of each individual user (clicking behavior, merchandise purchases, orders, search queries, wish lists, memos and other factors) will be recorded and combined with the behavior patterns for all web site users. The result is a behavior pattern linked to a particular search query. In this way a particular search query can indicate the intentions of the visitor making the query. This knowledge is then automatically processed and fed back either as search recommendations or as a search result list where the items are ranked by personal relevance.

Increase the acceptance and conversion rates of newsletter campaigns and transactional mailings through highly personalised recommendations and content designed to match reader preferences. Newsletters with convincing content will reduce cancellation rates, increase subscriptions and improve purchase conversion rates. The prudsys RDE | Newsletter can be used with any mailing system for HTML newsletters. Personalised offers made in newsletters can also be included subsequently in transaction mailings (e.g. invoices, order confirmations and mailings by ordinary post).

Reduce the rate of shopping basket cancellations through personalised recommendations at each point in the buying cycle. Stop shopping basket cancellations before they start. To make these measures truly cost effective, priority is given to those customers where the risk rate of a shopping cart abandonment goes over a preset threshold. The prudsys RDE | Scoring module reduces, in a measurable way, the likelihood of an abandonment and thereby makes a decisive contribution to the success of an online shop. Furthermore, this module can be used for fraud detection and response optimisation for mailings, too.

Improve the quality of advice given by your call center. Make the work of your call center operators easier through the automatic generation of personalised product recommendations and alternative items. If the caller has an order history this also is used in personalising the offer.  Alternative items are generated by powerful text mining algorithms.
Ideally, the module prudsys RDE | Recommendations will also be running in your online shop collecting more information about general user behaviour which will then be included in the process for generating the call center recommendations. If customers are already known to the online shop their current interests are also taken into account when generating a recommendation. Clicking behaviour, previous shopping baskets, search queries, wish lists and other information are used to discover customer interests and make it possible to improve relevance and ensure that recommendations keep pace with the customer's current interests.

Optimise your assortment planning and boost sales through category management and sales forecasting based on Data Mining.
Precise forecasting of demand and sales quantities for individual products through the use of intelligent real-time analysis will prevent both surplus and short inventories. Forecasts also ensures that goods are available at the optimum price, that inventories can be dynamically adapted to marketing plans and that the effectiveness of promotions can be assessed more accurately (advertising campaigns, seasonal specialities, etc.).