I SAMM neural module helps managers of footwear chains and retail stores effectively control sales. The system detects “unpopular” shoe models and will ensure warehouse stock balance for those models decreases by 35―40% by the end of the season.
Over a period of two years our team of marketing consultants, psychologists and mathematicians conducted research in various retail chains and discovered a correlation between a customer’s purchasing behavior and their thoughts and emotions. This has allowed us to determine what emotions a person feels towards certain goods and gauge their interest within the accuracy of 95 %. What’s more, we can digitalize these emotions allowing for adjustments to be made that improve our customers’ profitability.
How Does it Work
We install data transmitters on shoes that will read all of the necessary information. The system will then process the data and form a report that we can use to draw conclusions or train I SAMM to give recommendations and commands. You can either let the management make the decisions or let the system run fully automated.