Abstract:
The rising development of technologies caused
consumers to deal with an increasingly large amount of product
and service information which is far beyond the individual’s
cognitive effort to process. However due to the popularity of ecommerce
the number of online retailers proliferated. As a
result of this, currently there are large numbers of brand names
available online and this results in customer difficulty of finding
the best product among alternatives. Since different customers
have different perspectives and parameters about products it is
better to facilitate customized information. Merchants have
problems in improving their businesses due to lack of
information about the customer buying pattern variations.
Therefore, a system which provides accurate information and
suggestions which significantly decrease users’ cognitive effort
which would be beneficial for both customers and merchants
when selecting and providing products and services. “Decision
Supportive System for Customers and Merchants with
Enhanced Relevance - EpsiShoppingBot” is a mobile and web
based solution which addresses above mentioned requirements
of both customers and merchants.
