kreatekonnect
KreateKonnect aim and strive to reduce the
complexity of the problem by relying heavily on data Sciences and patterns.
Basis our research we suggest our clients concrete steps that have the
Supporting data that is likely correlated with the sought after output. We follow
a unique data driven approach to address the various challenges of e- commerce.
Common ones are product pricing, advertisement campaigns and pricing,
product listing and discontinuation, stock levels, keyword relevance
research and investment.
We perform
product research and use statistics to predict what products sell and at what
price points. We analyze product pricing points to arrive at the ‘sweet
pricing’ for the client’s product types and place them competitively. We use a
very wide range of data sources to assimilate and collate various data points
at varying levels and steps.
We strongly
believe that foundation of an ecommerce retail model is technology. We reject
the notion that sellers should have to settle for overpriced tools, outdated
technologies, unintuitive design, and lackluster performance. We aim to provide
our client’s with a fundamentally new way to synchronize their business in a
way they might not have even thought was possible.
Our unique
performance driven approach enables us to differentiate ourselves from others.
We handpick our business partners and select products in a way that maintains
brand integrity through quality, service and responsiveness in the sales
channel. We take substantive steps and implement tangible strategies directed
towards increasing sales of our client’s businesses. Our understanding of the
domain combined with streamlined operations that are geared to selling on
global marketplaces enables us to scale up quickly. We collect data pertaining
to various advertisement campaigns through APIs from the providers (and then
store in text files or databases).
At
KreateKonnect we understand that people are complex and often mysterious. But
we know that people love to buy. We thus try and gauge customer sentiments
which are often only available anecdotally. We try to capture this in
statistically relevant data sets from social media. The data is collected raw,
e.g. Tweets, via APIs and then processed and stored.
We re-invent,
bundle and promote products based on the target market and not based on the
originating market; hence they become more probable to selling. Our approach
enables us to offer CRM insights that complement great product design,
effective marketing, and proper brand positioning. We emphasize the exclusivity
of the products and shipping demonstrates the hidden value in
them.
We aim and strive to reduce the complexity of the
problem by relying heavily on data sciences and patterns. Basis our research we
suggest our clients concrete steps that have the supporting data that is likely
correlated with the sought after output.hat We Do
We aim and strive to
reduce the complexity of the problem by relying heavily on data sciences and
patterns. Basis our research we suggest our clients concrete steps that have
the supporting data that is likely correlated with the sought after output.
