Method of optimizing an offer value to a selected group of consumers

1. A method of optimizing an offer value to be offered to a selected group of consumers so as to materially increase a manufacturing infrastructure around a product according to the optimized offer value, comprising the steps of:

selecting (a) a series of products, wherein each of the series of products are serialized unique code marked, the series of products being of the same type;

selecting (b) a target group of consumers from a consumer database, each consumer with a registered consumer profile in said consumer database, said selecting based on a set of criteria;

selecting (c) a first subgroup of consumers from said target group of consumers;

determining (d) an initial offer value of said uniquely code marked product to be presented to said initial first subgroup of consumers;

distributing (offering) (e) said initial offer value to said selected initial first subgroup of consumers;

a number of said selected initial first subgroup of consumers accepting (f) said offer;

associating (g) said code of said uniquely code marked product to said acceptance (f) of offer to said consumer profile of each said accepting consumer in said first subgroup of consumers;

summing (h) said number of accepted uniquely code marked products to a first uptake value as a function of said initial offer value;

registering (i) said initial offer value and said first uptake value in order to calculate a first initial profit value;

repeating, for a number of second, third, . . . time, the following steps:

selecting (c) a second, third, . . . subgroup of consumers from said target group of consumers;

determining (d) a second (third, . . . ) offer value of said uniquely code marked product to be presented to said second, third, . . . subgroup of consumers, the second (third, . . . ) offer value being different from said first offer value;

distributing (offering) (e) said second (third, . . . ) offer value to said selected second, third, . . . subgroup of consumers;

a number of said selected second group of consumers accepting (f) said second, third, . . . offer;

associating (g) said code of said uniquely code marked product to said accepted second (third, . . . ) offer value to said consumer profile of each said accepting consumer;

summing (h) said second (third, . . . ) number of accepted uniquely code marked products to a second (third, . . . ) uptake value as a function of said second (third, . . . ) offer value; and

registering (i) said second (third, . . . ) offer value and said second (third, . . . ) uptake value in order to calculate a second, (third, . . . ) initial profit value;

thus establishing a set of uptake values as a function of offer values and their calculated or estimated corresponding profit value;

based on these data points, establishing a relationship of profit as a function of offer value;

selecting from said relationship a near-optimal offer value giving a near-optimal profit; and

distributing said optimal offer value to a large part of or all of said selected target group of consumers.

2. The method of claim 1 , said set of criteria for said target group of consumers comprising one or more of the following parameters:

upper and lower consumer age limits;

consumer economical status information;

consumer property limits;

consumer civil status;

consumer gender;

consumer educational level;

consumer consumption history;

consumer brand preference;

consumer size preference;

consumer purchase behaviour;

previous sales of same product or similar products; and

consumer vehicle information.

3. The method of claim 1 , further comprising the step of optimizing the manufacturing infrastructure to a predicted optimized production volume for the product according to the optimized offer value.