Revving Up E-commerce: How Automotive OEMs Can Build a Stronger Online Shopping Experience
Christian Dale
Product Marketing Manager at Anyline
E-commerce is changing the way all businesses, including tire retailers, transact. In recent years, there has been a significant shift in consumer behavior. More people than ever are turning to the internet to shop for tires and aftermarket automotive parts. That’s an important factor to keep in mind for companies looking to grow their customer share.
A recent survey we commissioned showed there was a 19% increase in online purchases from 2017 to 2022 in this industry. Due to this expansion, automotive OEMs must place a high priority on creating a robust e-commerce experience for their customers that provides the essential elements they demand: convenience, personalization, and an easy purchasing process.
How to Leverage Key Strategies and Technologies to Build a Stronger E-commerce Experience
How can companies better meet the needs of their customers in these ways? Take a look at some of the key strategies automotive OEMs can use to improve their customers’ online shopping experiences.
Develop a user-friendly interface
A good starting point is ensuring that the method customers use to find and buy products is easy to navigate, clearly designed, and efficient. It has to provide them with an easy way to move through the experience to find what they need and order it.
Individualized recommendations
Customers also need products recommended to them. For example, they need their retailer to remind them to purchase an oil filter or another product along with the one they are making. They may need the retailer to send a message reminding them to purchase a new product.
Leveraging Technology to Enhance the E-commerce Experience
How can technology help to improve automotive OEMs’ online shopping experience? How do you provide that personalized service when a customer visits your website? Without first developing a personalized login portal and then figuring out how to manage that data, that might seem difficult. Yet, machine learning can be a solution. The use of machine learning and artificial intelligence together can streamline the process, providing retailers with the information they need so they can provide the best product or service to their customers.
Mobile data capture solutions can help with this. Anyline’s Tire Size Scanner, for example, makes it super simple for a customer to get the right-sized tire. They can download a simple app to their smartphone from the retailer’s website. They can then go to their garage, scan their tire’s VIN or other information, and then know exactly what to purchase at the retailer’s website. This is a simple tool that can transform the way a tire retailer does business. It enables them to empower the customer, close the sale, and build a strong, lasting relationship with that customer that will last for years to come.
In conclusion
The use of machine learning and artificial intelligence like this isn’t far-fetched. It’s today’s reality. The solutions offered by Anyline are a great place to start when trying to deliver the exceptional results that online shoppers demand. Try them yourself today with a free 30-day trial offer.
