Net.Perceptions

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Net.Perceptions
John Tullis DePaul Instructor john.d.tullis_at_us.art
hurandersen.com
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Net.Perceptions
Components

• Personal Shopper
• Smart Merchant
• Decision Support

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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

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Net.Perceptions
Personal Shopper

• Recommendations they can count on.
• Every visit, recommendations can be dynamically
  tailored to each customers mood of the moment
  based on which department theyre shopping and
  what kind of products theyre 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 theyre shopping for, and Net
  Perceptions will recommend gifts that are
  personalized to that persons interests and
  preferences.

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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 theyve 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.

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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.
• .

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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.
• .

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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 dont
  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.

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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 fads curve.

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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 sites 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?

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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? Whats working
  best? With which RFM segment?

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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.

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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