The significance and method of 1. competitor research.

Competitor research is the process of collecting, analyzing and interpreting information about competitors to help companies understand the competitive environment, identify competitive strengths and weaknesses, and develop effective competitive strategies. The significance of competitor research is mainly as follows:

Understand the basic situation of competitors, such as scale, status, products, services, prices, channels, marketing, finance, innovation, etc;

Assess the strategic intentions of competitors, such as goals, motivations, priorities, preferences, risks, etc;

Predict the future actions of competitors, such as new products, new markets, new collaborations, new investments, etc;

Identify the strengths and weaknesses of competitors, such as resources, capabilities, efficiency, quality, satisfaction, loyalty, etc;

Develop coping strategies for competitors, such as cooperation, competition, avoidance, imitation, innovation, etc.

The method of competitor research can be classified according to the dimensions of information source, information type and information depth. There are several common methods of competitor research:

Desktop research. Desktop research is a way to obtain data and information about competitors by consulting publicly available sources, such as websites, reports, news, social media, patents, papers, etc. The advantages of desktop research are low cost, fast speed, and wide range; the disadvantage is that the information may be incomplete, inaccurate, not timely, and not in-depth.

Field investigation. Field investigation refers to the way to obtain competitors' data and information by personally or entrusting third parties to the actual places of competitors, such as stores, factories, exhibitions, etc., to observe, visit, purchase, test, etc. The advantages of field investigation are that the information is direct, true and in-depth; the disadvantages are high cost, long time, narrow scope and great difficulty.

Espionage. Espionage is the method of obtaining competitors' data and information through illegal or unethical means, such as wiretapping, theft, bribery, deception, etc. The advantages of espionage are that the information is important, confidential and unique; the disadvantages are high risk, high cost, unstable effect and controversial morality.

Application and Value of 2. Artificial Intelligence and Big Data Technology

Artificial intelligence and big data technology are one of the most promising and influential science and technology fields today. They can bring revolutionary changes and innovations to all walks of life. Artificial intelligence refers to the technology that enables computers or machines to have intelligence similar to or beyond human beings, such as perception, understanding, learning, reasoning, decision-making, etc. Big data refers to the massive, diverse, fast and valuable data beyond the traditional data processing capacity, as well as the technology of collecting, storing, analyzing, mining and applying these data.

The application and value of artificial intelligence and big data technology in competitor research are mainly reflected in the following aspects:

Improve the efficiency and breadth of information collection. Artificial intelligence and big data technology can automatically collect a large number of competitors from various channels and platforms, such as websites, social media, videos, pictures, audio, etc., through web crawlers, voice recognition, image recognition, natural language processing and other technologies. Relevant data and information, save manpower and time, and expand the source and scope of information.

Increase the speed and depth of data analysis. Artificial intelligence and big data technology can quickly clean, integrate, classify, aggregate, analyze and interpret the collected data and information through machine learning, deep learning, data mining, data visualization and other technologies, extract valuable information and knowledge, generate readable reports and charts, and enhance the ability and level of data analysis.

Improve the accuracy and quality of the results presented. Artificial intelligence and big data technology can provide enterprises with the most suitable competitor coping strategies, such as cooperation, competition, avoidance, imitation, innovation, etc., through intelligent recommend, intelligent prediction, intelligent optimization, intelligent decision-making and other technologies, according to the analysis results and objectives, as well as the corresponding implementation plan and evaluation indicators, so as to enhance the practicability and effectiveness of competitor research.

Practice and Experience of 3. Champ Consulting Company

Shangpu Consulting Company is a company specializing in enterprise management consulting services. Its main business includes strategic planning, organizational change, human resource management, marketing strategy, etc. When providing consulting services to customers, Shangpu Consulting will conduct targeted market research according to customers' needs and problems, of which competitor research is an important part. In competitor research, Shangpu Consulting actively uses artificial intelligence and big data technology to improve the efficiency and accuracy of research and provide customers with professional and high-quality services.

The following are some of the practices and experiences of Shangpu Consulting in the use of artificial intelligence and big data technology in competitor research:

Build a competitor database with artificial intelligence and big data technology. Shangpu Consulting Company uses web crawler, speech recognition, image recognition, natural language processing and other technologies to automatically collect data and information related to competitors from various channels and platforms, including basic situation, strategic intention, future actions, advantages and disadvantages, etc., to build a comprehensive, real-time and dynamic competitor database, It provides a solid foundation for subsequent data analysis and result presentation.

Use artificial intelligence and big data technology for data analysis and knowledge extraction. Shangpu Consulting Company uses machine learning, deep learning, data mining, data visualization and other technologies to clean, integrate, classify, aggregate, analyze and interpret the data and information in the competitor database, and extract valuable information and knowledge, such as competitor's market share, growth rate, profitability, innovation ability, customer satisfaction, loyalty, etc., to generate readable reports and charts, it provides strong support for the subsequent results presentation and strategy formulation.

Leverage artificial intelligence and big data technologies for results presentation and strategy formulation. Shangpu Consulting Company uses intelligent recommend, intelligent prediction, intelligent optimization, intelligent decision-making and other technologies to provide customers with the most suitable competitor coping strategies, such as cooperation, competition, avoidance, imitation, innovation, etc., as well as corresponding implementation plans and evaluation indicators, according to the results of data analysis and knowledge extraction, as well as customer needs and problems. Improve the practicability and effectiveness of competitor research.

The following are some specific examples of the use of artificial intelligence and big data technology in the research of competitors:

Case 1: Provide competitor research services for an automobile manufacturer. Using artificial intelligence and big data technology, Shangpu Consulting Company collected and analyzed the data and information of the products, prices, sales volume, market share, brand image, customer reputation, innovation ability and other aspects of the automobile manufacturer's main competitors, providing the automobile manufacturer with a comprehensive, in-depth and accurate competitor analysis report and a differentiated marketing strategy for different competitors, it has helped the automaker increase its competitiveness and market share.

Case 2: Provide competitor research services for an e-commerce platform. Shangpu Consulting Company uses artificial intelligence and big data technology to collect and analyze the data and information of the main competitors of the e-commerce platform in terms of services, functions, users, traffic, conversion rate, revenue, cost, profit, etc., and provides a detailed, clear and accurate competitor analysis report for the e-commerce platform, as well as a comprehensive strategy of cooperation, competition, circumvention, imitation and innovation for different competitors, it helps the e-commerce platform to improve its own efficiency and benefits.

Case 3: Providing competitor research services for an education and training institution. Shangpu Consulting Company uses artificial intelligence and big data technology to collect and analyze the data and information of the courses, teachers, students, quality, satisfaction, loyalty, word-of-mouth, innovation ability and other aspects of the main competitors of the education and training institution. It provides an all-round, in-depth and accurate competitor analysis report for the education and training institution, as well as a differentiated teaching strategy for different competitors, help the education and training institutions to enhance their own teaching level and market influence.

Conclusion

Competitor research is an important part of market research, which can help enterprises understand the competitive environment, find competitive advantages and disadvantages, and formulate effective competitive strategies. Traditional competitor research methods have many limitations, such as difficult information collection, time-consuming data analysis, and inaccurate results. Artificial intelligence and big data technology can provide new tools and methods for competitor research, improve the efficiency and accuracy of competitor research, and provide professional and high-quality services for enterprises. Shangpu Consulting Company is a company specializing in enterprise management consulting services. In its competitor research, it actively uses artificial intelligence and big data technology to provide customers with a number of successful cases and experiences.