Tiktok's friends know that you will always push which video you often watch. If you place an order in Tiktok, you will push a pair of pants and place an order together.
So, the "may want" function we established is based on this logic. We have been doing ERP for 10 years in the automotive parts cloud, and our vertical scene in the automotive parts industry is already very mature. Now, we combine the technology of AI big models to provide customers with the information they want to sales, so that sales can see the performance and tell you directly that this is the business opportunity.
'May Want' is a mini program that is associated with your ERP backend, quotation system, and inventory. In emergency situations, repair shops can directly use the chassis number to identify the corresponding product, and the quotation will be sent to the repair shop for the repair shop to see.
In addition, the auto parts cloud system also has a "guess what you want" function, which is for every order you open in the background. Today, when a customer buys product A, they will place an order together with product B. I will follow this logic, usually those who buy product A will buy product B.
After the customer buys A, they will push B, C, and D products at the bottom, and of course, they will place an order for A in combination with grabbing. Below or by clicking on 'View More', there are also unsold products that can be placed on it, and products that want to be popular can be placed on it.
So, today the customer wants an engine bracket and sees that there is no problem with the quotation. When they see "Guess what you want", once they click on it, the system will remind them and tell them what content they have browsed, such as opening an inquiry form, opening spark plugs, opening half shafts, and all other products. These tasks are all aimed at facilitating precise communication with our clients.