Recently, the car home released a strategic-grade product - Che Zhiyun. As the industry's first smart big data product that is truly tailored for car executives, "Che Zhiyun".
Covering three application scenarios: “Smart, Smart, and Smartâ€, it can provide “sales forecastâ€, “competition patternâ€, “marketing funnelâ€, “propagation monitoringâ€, “cue analysisâ€, “product planningâ€, “ Eight major products, including configuration strategy and product redesign, cover the data service of the company's development life cycle. It not only promotes the upgrade of the whole value chain of car enterprise strategy, marketing, research and development, but also helps the car company to "user-centric" strategy.
Before the era of big data, due to the lack of data and inefficiency, car companies had to spend months waiting for a report to be released. Then make the corresponding detail decision. However, at this stage, the consumption demand of users' cars is changing rapidly. The traditional research methods often cannot keep up with the rhythm of demand changes, which leads to decision-making or decision-making by high-level “headsâ€, or missed the best opportunity after the speed of demand changes.
Backed by the powerful and accurate big data platform of the car home, the core mission of “Che Zhiyun†is to help car companies build an efficient “smart decision-making†system, using big data + artificial intelligence technology to help strategic planning, Product R&D and marketing enable efficient decision-making, ensuring that the company's strategic planning is ahead of market changes, ultimately helping manufacturers to shorten the research and development cycle and achieve efficient marketing.
Tailored data products, helping car companies to make smart decision-making car companies to invest a large amount of money each year for research and development, a new car light research and development costs more than one billion, if you want to develop a car structure that covers the mainstream market, research and development costs Definitely have to exceed 10 billion. The problem is that the models that have been invested heavily will not be able to catch the pain of the users, which is absolutely fatal to the company. The “Product Planning†data product built by the car home based on a large number of real user word-of-mouth data helps the car company to grasp the user's pain points quickly, comprehensively and accurately, and develop products that are more in line with the user's needs.
The procurement, scheduling, and distribution of car companies need to be carried out around the sales forecast. Once the forecast is too high or too low, it will cause huge losses to the car companies. The car home is based on behavioral data such as car, car selection, and car purchase on the online 2 to 3 months before the car purchase. The “sales forecast†product can make more accurate judgments on the market consumption trends and sales changes. Conducive to car companies to optimize marketing strategies and reduce inventory costs.
Car companies must arrange at least tens of millions of yuan or even hundreds of millions of dollars for each new car. If the car companies push four or five models a year, they will have two or three hundred million, and two or two billion, but they will be squandered. New car marketing cases are common in the automotive industry. Based on its rigorous user transformation analysis system, the car's “Marketing Funnel†product not only helps car companies to better evaluate their marketing effects, but also helps car companies find their potential users more efficiently and conduct precise marketing.
The core appeal of car companies is to sell cars. The sale of cars is largely determined by the ability to collect customers. The most important thing is the sales leads. As we all know, one of the core values ​​of the car home is to help car companies collect a large number of real sales leads, and based on this refined "cue analysis" products to help car companies to control the sales situation, develop a targeted marketing strategy .
Accurate big data empowers the automotive ecosystem and creates a closed-loop future for the entire industry. Big data and artificial intelligence technologies will surely explode huge social benefits in the automotive, medical, financial, education or other fields. As a traditional industry with great potential, the automobile industry lacks production capacity, but is a high-quality and efficient service capability that can accurately match the needs of consumers. In the past, the survey data obtained by car companies are often single, partial, and lack of contact. After analysis, they often encounter two types of defects: “repeating known conclusions†or “making useless informationâ€. In the era of big data, the data is concentrated on a large-scale Internet platform. It has been a large platform for the automotive vertical industry for more than a decade, like the car home, and accumulated and refined a large amount of real user behavior data. Because its business covers all major aspects such as pre-purchase, mid-purchase and post-purchase of auto consumers, it is also highly integrated with the full value chain of car enterprise strategic planning, product development, marketing promotion, sales and after-sales service. Massive and accurate user behavior data, helping car companies to create a complete industrial closed loop, is even more precious for car companies.
Industry analysts pointed out that the birth of "Che Zhiyun" means the beginning of a new era, which will accelerate the transformation and transformation of the automobile era, strategic planning, marketing and product development from the traditional era to the intelligent era, just like a smart phone. Gradually replace non-intelligent machines to provide more comprehensive, more accurate and more efficient big data services for customers such as car companies.
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