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BIG DATA IS NOW MOTOR RETAILS BIGGEST DRIVER
| 题名： | BIG DATA IS NOW MOTOR RETAILS BIGGEST DRIVER |
| 正文语种： | eng |
| 作者： | MEGAN HARVEY |
| 作者单位： | alliances and OEMs Keyloop |
| 摘要： | Automotive is undergoing a period of unprecedented change. Ownership and retail models are changing with OEMs and retailers redefining their relationships with each other and the consumer. If the benefits are to be realised, the industry must reappraise how it uses data to improve the customer experience and find efficiencies. OEMs need to connect dealers and supply partners to a real-time, single customer view to deliver a seamless experience and make the sales process and aftersales more efficient. If automotive manufacturers don't improve and digitise their client experiences, they won't be in a position to grow into tomorrow's mobility providers. A vast amount of value remains untapped in automotive data, from richer consumer and vehicle data to the use of Al (artificial intelligence) in advanced analytics and predictive modelling. Data can be used to unlock sales opportunities and drive efficiencies through all processes. Big data in the automotive sector comprises information on consumer behaviour, preferences, and information on locations and driving habits. This can be combined with vehicle data to anticipate service, maintenance and repair issues and opportunities to generate aftersales revenue. It will also help guide the manufacturing process with realtime feedback on performance. Automotive engineers are already using data analytics and Al to model vehicle performance. Predictive analytics is widely used to understand consumer buying trends and to forecast the future utilising methods like data mining/modelling, machine learning, and AI. It enables manufacturers and retailers to anticipate future trends and make better-informed decisions. |
| 出版年： | 2022 |
| 期刊名称： | Automotive Management |
| 期： | Oct. |
| 页码： | 16-16 |
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