We collect data using web scrapers and then process the unstructured data to build an independent view of pricing online. This can then be rationalised into a price elasticity model combined with cost analysis. This service may be sold to retailers via a Business Intelligence service.

Further to the Business Intelligence service, we offer a marketplace which allows customers to list products and when sold we get a commission in the same way ebay, Amazon and others work.

We apply advanced Big Data methods such as Hadoop, MongoDB, Cassandra, and Elasticsearch to handle the data processing. We also use modern attempts to solve concurrency, parallel, and deep learning issues. This involves using Matlab, Torch7, OpenMP and other products still being tested.

We are therefore using NLP and Image Analysis methods to extract meaning which builds a complete and independent market picture of what products are being sold. These products may then be inter-linked to form a buying pattern for co...
We collect data using web scrapers and then process the unstructured data to build an independent view of pricing online. This can then be rationalised into a price elasticity model combined with cost analysis. This service may be sold to retailers via a Business Intelligence service.

Further to the Business Intelligence service, we offer a marketplace which allows customers to list products and when sold we get a commission in the same way ebay, Amazon and others work.

We apply advanced Big Data methods such as Hadoop, MongoDB, Cassandra, and Elasticsearch to handle the data processing. We also use modern attempts to solve concurrency, parallel, and deep learning issues. This involves using Matlab, Torch7, OpenMP and other products still being tested.

We are therefore using NLP and Image Analysis methods to extract meaning which builds a complete and independent market picture of what products are being sold. These products may then be inter-linked to form a buying pattern for consumers which will help a marketplace.

We are passionate about solving these complex problems and this is possible in 2016 due to falling costs of the Cloud, the prominence of Big Data, and the growth in online selling.

We solve issues far beyond what is offered by TIBCO, Tableau in business intelligence, and we have a level of interpretation which exceeds what is typically offered by marketplaces.

We are focusing on Home and Garden which allows us to have context. Other platforms are far broader and this makes it harder for them to inter-relate products.
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