Net.Perceptions

1. Net.Perceptions John Tullis DePaul Instructor john.d.tullis@us.arthurandersen.com

2. Net.Perceptions Components • Personal Shopper • Smart Merchant • Decision Support

3. Net.Perceptions Functionality • Intelligent Learning - system adapts as it is used. Uses multiple algorithms for predictions, and it learns which are most appropriate. • Dynamically generated recommendations in real time • Works with existing databases and data structures • Correlation measured with a particular domain • Variety of prediction algorithms • Can make predictions with small amount of data • No profiling required • Implicit as well as explicit data is used

4. Net.Perceptions Personal Shopper • Recommendations they can count on. • Every visit, recommendations can be dynamically tailored to each customer’s mood of the moment based on which department they’re shopping and what kind of products they’re looking at. • Helpful reminders. • Batteries not included? Net Perceptions can remind customers of essentials and accessories they should be considering for each item in their shopping cart. • Great gift recommendations. • Customers can type in some basic information about who they’re shopping for, and Net Perceptions will recommend gifts that are personalized to that person’s interests and preferences.

5. Net.Perceptions Personal Shopper • Their own personal daily special. • Working from a predefined list of Items on Special, Net Perceptions can recommend the special most likely to be of interest to each customer. • Feeling known, valued, and empowered as an individual. • Customers feel known because they never receive recommendations for products they’ve already purchased. • They feel valued and empowered because, like a good sales rep, Net Perceptions asks for their opinions and adjusts its recommendations accordingly, avoiding items that are not for them.

6. Net.Perceptions Smart Merchant • Cross-sell strategies. • Net Perceptions can select from a predefined list to promote profitable items that complement the items customers are looking at or have just put in their shopping cart. • Up-sell strategies. • Net Perceptions can select from a predefined list to promote more profitable alternatives to the items customers are looking at or have just put in their shopping cart. • .

7. Net.Perceptions Smart Merchant • Cross-department recommendations. • Net Perceptions increases the average sale per transaction by recommending other departments or specific items from other departments that are of interest to each customer. • Context-sensitive recommendations. • Net Perceptions automatically weeds out recommendations for previously purchased and out-of-stock items, and allows you to create a list that eliminates synonymous redundancies such as recommendations for large eggs and jumbo eggs. • .

8. Net.Perceptions Smart Merchant • Not Included reminders. • Working from a predefined list, Net Perceptions can drive incremental sales and customer satisfaction by ensuring that customers don’t forget essentials and accessories not included with their purchases. • Moving overstock. • You define which overstock items you need to move, and Net Perceptions will automatically promote each item to the customers most likely to buy. • New product promotion. • Net Perceptions can select from a predefined list to promote the right new products to the right customers.

9. Net.Perceptions Smart Merchant • Strategic customer classification. • You define the criteria (recency of purchase, frequency of purchase, monetary value, etc.), and Net Perceptions dynamically classifies your customers accordingly to deliver personalized promotions based on your specific strategic objectives. • Fad detection. • Net Perceptions lets you know when specific items take off unexpectedly, and which customers are flocking to buy those items. This allows you to maximize these fleeting opportunities by promoting the fad items to the right customers at the leading edge of each fad’s curve.

10. Net.Perceptions Decision Support • Product activity reports. • Which products are being seen, clicked on, added to the shopping cart, and purchased most often? Which products are being abandoned most often? • Browser-to-buyer conversion reports. • How many browsers are becoming buyers overall? How is the site’s realtime personalization technology affecting the conversion ratio? Which personalization features are customers using most? • Order activity reports. • What impact are POPs and promotional strategies having on order size and value? Across a promotion? Across time?

11. Net.Perceptions Decision Support • Promotion activity reports. • How is each promotion performing across all points of personalization (POPs)? How much and what kind of activity is happening at each POP (such as the home page, recommendation and gift centers, and the shopping cart)? • RFM reports. • Where do your customers stand with regard to recency, frequency, and monetary amount of purchase? What impact are your promotional activities having on each area? What’s working best? With which RFM segment?

12. Net.Perceptions Technical Details • Integration with major platforms: Net Perceptions for E-commerce 5.0 can be deployed from within the framework of the most important site-building platforms: • Allaire Cold Fusion, ATG Dynamo, Broadvision, IBM WebSphere Commerce, INTERSHOP, Interworld, Microsoft Site Server, Open Market, Oracle I-Sales, and Vignette Story Server. • Commercial enterprise database support. • Native support for SQL Server and Oracle. • Hot back-ups. • Your system will never have to be brought down for routine back-ups.

13. Net.Perceptions Technical Details • System Requirements • Platforms • Windows NT 4.0 • Sun Solaris 2.5.1 (SP3-5) and 2.6 • Processors • Pentium • UltraSPARC 140 • Supported Client Environments • C++, JAVA, COM, Cold Fusion • Supported Databases • SQL Server 6.5, 7.0; Oracle 7, 8, 8i