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kreatakonnect 2015 12 29 13 05 50 606 .pdf


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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to settle for overpriced tools, outdated technologies, unintuitive design, and lackluster performance.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.


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