Method and system for automatic, customer-specific purchasing preferences and patterns of complementary products

A retail system for automatic generation and identification of purchasing preferences of and complementary product offerings in a shopping list for a consumer in a retail environment in relation to said consumer's historical retail transactions and purchasing patterns at a particular time, comprising:

• at least one retail terminal in said retail environment;
• at least one retail database having transactional history for said consumer regarding said consumer's historical retail transactions and product purchasing histories;
• and a method comprising the steps of:
• (a) identifying at least one consumer for whom a preferential shopping list is to be generated in said retail environment;
• (b) acquiring one or more sales transactions from a sales transaction database for historical product purchases by said consumer;
• (c) analyzing said acquired sales transactions in relation to said particular time by identifying frequency of purchases of one more recurring products in said sales transactions;
• identifying specific brand types of one more recurring products in said sales transactions;
• identifying one or more products by brand type also purchased by consumer with each identified specific brand types of said one or more recurring products;
• (d) arranging said identified specific brand types of one more recurring products in said sales transactions and said brand types of identified of one or more products also purchased by consumer with each identified specific brand types of said one or more recurring products by one or more common product categories;
• (e) generating a consumer item relationship table relating by said one or more common product category said identified specific brand types of one more recurring products in said sales transactions and said brand types of identified one or more products also purchased by consumer with each identified specific brand types of said one or more recurring products;
• (f) identifying said one or more recurring products presently needed by consumer in relation to said particular time in probable purchase list;
• (g) identifying brand types of identified one or more products also purchased by consumer with each identified specific brand types of said one or more recurring products from said consumer item relationship table in a probable related list;
• (h) identifying present promotional incentives in said retail environment in relation to said probable purchase list of said one or more recurring products presently needed by consumer and said probable related list of brand types of identified one or more products also purchased by consumer with each identified specific brand types of said one or more recurring products, in a probable promotion list;
• (i) recording said probable purchase list, said probable related list, and said probable promotion list;
• (j) further identifying substitute related products in a substitute products list from a related products database in said retail environment in relation to said probable purchase list, said probable related list, said probable promotion list, present inventory on hand in said retail environment and item relationship table;
• (k) arranging products in said probable purchase list, said probable related list, said probable promotion list, and said substitute products list by arrangement of location of said products in said retail environment;
• and,
• (l) generating a shopping list of identified products for purchase arranged by location of said identified products for purchase in said retail environment comprising products identified in said probable purchase list, said probable related list, said probable promotion list, and said substitute products list.