Overcome challenges and look to the future
Posted: Wed Dec 11, 2024 6:56 am
One of the main goals of today's retail marketers is to obtain a single customer view (SCV) of cross-screen shopping users. The artificial intelligence solution provided by Appier CrossX can connect audiences across devices. With the help of the cross-screen tracking function, Carrefour, a chain of mass merchandisers , has achieved a high monthly growth belize whatsapp number data 5 million rate of 60% in page views, and its revenue has increased by 25% monthly. . Gil Prescott, Carrefour's e-commerce business development manager, said: "Artificial intelligence plays a great role in guiding Carrefour's operations. It not only provides business insights in the above aspects, but also helps lay the foundation for future omni-channel development decisions and directions. "
Despite the promise of artificial intelligence, there are still some problems that have yet to be solved. The first problem is the collection and integration of data; in a survey conducted by Forrester, a market research organization, 58% of respondents pointed out that the main challenge they face is the collection and integration of huge amounts of data. In addition, 52% of the respondents said that another urgent problem to be solved is how to obtain data from different channels.
Marketing data comes in various forms, including past performance and consumer demand data, social media communication records, customer inquiries and feedback content, online behavior and customer loyalty program data; only e-commerce companies like Amazon Only giants can easily obtain the above information, and small companies generally do not have this ability. The second problem that remains to be solved is that if the machine learning model is to be able to effectively process the data and accurately predict the results, the data from various sources must first be formatted and cleared.
Despite the promise of artificial intelligence, there are still some problems that have yet to be solved. The first problem is the collection and integration of data; in a survey conducted by Forrester, a market research organization, 58% of respondents pointed out that the main challenge they face is the collection and integration of huge amounts of data. In addition, 52% of the respondents said that another urgent problem to be solved is how to obtain data from different channels.
Marketing data comes in various forms, including past performance and consumer demand data, social media communication records, customer inquiries and feedback content, online behavior and customer loyalty program data; only e-commerce companies like Amazon Only giants can easily obtain the above information, and small companies generally do not have this ability. The second problem that remains to be solved is that if the machine learning model is to be able to effectively process the data and accurately predict the results, the data from various sources must first be formatted and cleared.