Data Octopus

multiple sources in one place and increase their sales effectiveness. At the heart of the application is Google Big Query, which stores raw data that is then used to narrow down the advertisements in a given product channel. As a result, only those products that deserve it are promoted, taking into account their sales profitability, seasonality, parameters, effectiveness.

- you can limit spending on the promotion of products in a given channel that do not deserve it
- you can promote products that meet dynamic conditions such as margin, price, etc.
- you can control your product margins by not promoting unprofitable products, e.g. with high return rates
- you can collect and use data on the performance of products in different places in order to better manage their sales, i.e. take information about the performance of a product in channel X and use it to feed channel Y
- you may not offer products with low stock levels or high turnover
- you can have access to the raw data in BQ, which you can analyse in any way you like by connecting further services and add-ons to the Google Cloud Platform, such as Vertex ai- the benefit of the data warehouse for FO being Google Big Query

Feed Octopus is right for your e-commerce if:

- You have a large number of SKUs - ideally amounting to tens or hundreds of thousands of products.
- You sell through Google Shopping and other advertising channels - ideally across multiple markets.
- You have a lot of distributed data and don't have the time or resources to analyse it manually.
- You want to reduce the need for IT and digital resources in the area of performance and analytics.
- You dream of a cloud-based Business Intelligence environment that tells you how to grow your business based on AI.