Hyundai Motor had 18 patents in ecommerce during Q3 2023. Hyundai Motor Co filed patents for various technologies related to customer positioning index generation, mobility service dispatching, parking fee charging, optimal route generation, and object identification in vehicles. These technologies aim to improve the customer experience, efficiency, and accuracy in vehicle services and operations. GlobalData’s report on Hyundai Motor gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
Hyundai Motor grant share with ecommerce as a theme is 28% in Q3 2023. Grant share is based on the ratio of number of grants to total number of patents.
Application: Apparatus and method for generating positioning indicator (Patent ID: US20230274336A1)
The patent filed by Hyundai Motor Co. describes a positioning index generating apparatus and method for determining the positioning index of a product based on data collected from customer actions in various steps of the product purchase decision process.
The apparatus collects data generated by customer actions in each step of the product purchase decision process and determines a positioning index for the product based on the data generated in at least one step. The positioning index can be used to assess the awareness of the product.
The method further includes determining the positioning index of a brand based on the positioning indices of multiple products belonging to the brand.
The data generated in the steps can include actions of attracted and interested customer groups, and the positioning index can be an awareness index.
The data generated in the steps can also include a digital media index of the product and product comparison data. The digital media index can include search index, news index, and social media index. The positioning index in this case is an awareness index.
The product comparison data can include the number of comparisons or comparison rate between the product and competing products during a specific period. The positioning index is determined by assigning a weight to the product based on the product comparison data, and a vertical media index of the product is determined based on the weight.
The weight of the product can be determined using social network analysis techniques.
The positioning index can also be determined by calculating a correlation coefficient between the actual sales volume of the product and various indices including the digital media index and the vertical media index. The weight of each index is set based on the correlation coefficient, and the awareness index is determined as a weighted sum of the indices.
The awareness index can be normalized so that the sum of the awareness index of the product and the awareness indices of competing products is one.
The data generated in the steps can also include actions of a purchase-intended customer group, and the positioning index can be a purchase intention index.
The purchase intention index can be determined based on sales clue data, and the concurrence rate of the product and competing products can be calculated from the sales clue data.
The purchase intention index can also be determined using social network analysis techniques.
The data generated in the steps can include first data generated in a first step and second data generated in a second step, and the positioning index can include a first index based on the first data and a second index based on the second data.
The apparatus for generating a positioning index includes a memory and a processor that collects data generated by customer actions in each step of the product purchase decision process and determines a positioning index based on the collected data.
The computer program causes a computing device to collect data generated by customer actions in each step of the product purchase decision process and determine a positioning index based on the collected data.