Euro Car Parts drive better business decisions with intelligent data
Euro Car Parts (ECP) is the UK’s leading distributor of parts for all makes of cars and light commercial vehicles supplying over 130,000 different stocked parts.
ECP had grown to become the UK’s leading Car Parts brand, however with the emergence of driverless cars, increasing popularity of car sharing and continually improving public transport, ECP needed to ensure the organisation could make cost savings and increase efficiencies to help future-proof the business.
The organisation stored every car part for almost every model of vehicle in the UK. They stored these parts in numerous warehouses around UK. This however, was an extremely costly commitment and as a result, ECP had accumulated a significant number of overstocked parts.
As a result, the company wanted to make efficiency gains by gathering intelligent data to enable them to make predictions on which regions of the UK were more likely to need specific parts at any given time.
ECP had already collated years’ worth of data but this was fragmented and stored across a number of different systems, making it impossible to extract meaningful information.
ANS implemented a Microsoft Azure platform to provide an environment that would allow ECP to ingest large amounts of data for analysis. The project was delivered utilising the Start framework which is ANS’ initial design and configuration service which reduces the risk of adopting public cloud. ANS delivered a production ready platform with the design and implementation of hybrid elements and the initial controls and security.
ANS designed, implemented and documented the network topology for the new Azure Capability
Ensured the correct network configuration across the Azure platform and inter site connectivity
Provided secure access via a remote desktop service
Ensured each part of the solution is independently scalable to allow for the expected growth of the platform
As a direct result of this project’s success in the UK and Ireland, ECP are now looking into Phase 2. Phase 2 would see the environment being expanded and developed to accommodate data and analytics from their Sister companies in Europe with a view to enhancing the value and significance of the data as to the operations.