2. Small or medium-sized sellers/retailers have
been struggling to provide an enhanced
shopping experience along with higher customer
satisfaction with inadequate budgets.
3. Many retailers are
unable to identify
profitable customers and
provide them the right
marketing and service
solutions with a high
potential.
4. Many large companies offer personalization and
product recommendations at an individual level
to enhance customer conversions.
5. Big data analytics has applications to predict
various trends across platforms and their
demand. It studies a typical customer’s interest
and understanding and predicts customer
buying behavior.
6. Deep learning techniques like convoluted
recognition nets and image analysis. Usage of
text mining for customer sentiment analytics.
7. Usage of similar looking modeling on third-party
databases for identification of profiles similar to
high-value customers.