Soft Warehouse Technology empowers Shanghai Fengxian building materials companies-AI allows decoration companies to take the initiative to come to their door

I spend 30,000 yuan a month to participate in the exhibition, and all the people who come are retail investors; 9 out of 10 online clues are inaccurate and can't hold on anymore." Mr. Wang, head of Hengxin Building Materials in Fengxian, Shanghai, was trapped by the problem of obtaining customers on the B-terminal for a whole year. As a local company mainly engaged in environmentally friendly plates and engineering tiles, they have E1 environmental protection certification and multiple office building project cases, but they have never been able to enter the purchase lists of decoration companies and engineering companies.

The core problem lies in the pain points of getting customers on the B-end: When users and decoration companies searched for "Shanghai Fengxian Environmentally Friendly Building Materials", Hengxin's information was submerged in national brands;AI recommendations only showed product quotations, but concealed key engineering qualifications and local service advantages. According to the selection standards of building decoration materials, users and decoration companies pay more attention to environmental certification, engineering cases and localized supply capabilities. These core information is just not captured by AI. Three surrounding peers relied on low prices to grab orders, putting Hengxin, which focused on quality, in a passive position.

The soft warehouse technology team formulated a targeted optimization plan: First, through AI visibility diagnosis, it was determined that Hengxin's visibility under keywords such as "engineering building materials" and "environmental protection plates" was zero. Subsequently, a three-dimensional knowledge map of "product-qualifications-engineering scenarios" was built, deeply binding E1 environmental protection certification and office building decoration cases with regional labels such as "Shanghai Fengxian Local Building Materials Supplier" and "Lingang New Area Engineering Materials".

The optimization for the characteristics of B-side decision-making is more accurate: it highlights service advantages such as "3-hour door-to-door delivery" and "batch supply price" for bean bag users; when adapting the words and words, it focuses on presenting authoritative qualifications such as ISO certification and test reports. At the same time, the POI of "Shanghai Fengxian Hengxin" is mounted on the engineering building materials platform, and semantic keywords such as "Shanghai Fengxian decoration user, decoration company's preferred building materials supplier" are implanted to open up a fast channel from AI recommendation to sample delivery.

In the third week of optimization, Mr. Wang received a call from a decoration company in Fengxian, Shanghai: "Doubao recommended you and said that you have office building engineering experience locally." One month later, the results broke out: Hengxin's recommendation rate of engineering building materials on the AI platform increased fourfold, and the effective inquiry volume increased by 82% compared with the previous month, 90% of which came from decoration companies and engineering companies. The proportion of cooperation between local decoration companies jumped from 30% to 68%, and two factory decoration projects in Lingang New Area were successfully signed.

Today, Hengxin's customer acquisition costs have been reduced by 45%, and it no longer relies on high-priced exhibitions. Mr. Wang held the newly printed cooperation list and lamented: "I used to chase after the decoration company, but now they have read the AI recommendation and directly talk about cooperation. This is the efficiency that the B-side should have in attracting customers."