Optimal UK Distribution Ltd, a supplier of quality spare parts for automotive products, has upgraded its data to Autocat v8 quality.
Data containing 1.3 million lines and 38,000 individual references has been published, in a move managing director Geoff Jones said will “expand the company’s reach further than ever before”.
Geoff explained how demand for the Optimal UK’s products has grown over recent years; it has recently launched more than 2,000 CV joints and drive shafts, as well as over 1,200 Dolz water pump references. Improving the quality of the company’s data was the next logical step, as was achieving Make Model Index (MMI) Certified Supplier status.
“The data update, coupled with our online B2B platform, will give our partners full access and visibility to live availability from the UK, as well as the central warehouse at our head office in Munich,” Geoff noted.
Optimal UK has been working alongside MAM for the past nine years, and Geoff anticipates this long-standing relationship will continue.
Geoff continued: “Being an MMI Certified Supplier, we can offer our partners peace of mind that the parts they are looking up have a seal of approval which can be trusted.
“But this is only the beginning.
“By utilising Automate Online, our data will continue to improve on a daily basis with new references and updates being available at the click of a button.”
Automate Online is a cloud-hosted system, designed to enable component suppliers such as Optimal UK to improve their product data before it is published to Autocat.
Among the features is the MMI, which the company will use to reference its catalogue data against a comprehensive database of UK-specific vehicles.
Tony Mason, sales manager for data and e-commerce products at MAM Software, said: “Converting data into v8 format and receiving MMI Certified Supplier status will give Optimal UK’s customers reassurance that the information they retrieve is accurate and up to date.
“Using Autocat will also enable the company to place products in front of more customers, which in turn will help maximise its profit margins.”
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