Abstract
Sufficient food and nutrition supplement is very important for the health of our body. However, most of us do not know which food or nutrition is needed for our bodies, because we do not know our bodies’ detail nutrition requirement. Each person’s nutrition demand is different because of the differences of each person’s genes, age, and life style. With the fast development of genomics, genetics, nutrigenomics, nutrigenetics, and nutrition science, we can now provide personalized nutrition service for customers. The service can provide personalized food supplement solutions based on the DNA genetic testing and the lifestyle evaluation. For the nutrients that can not be supplemented sufficiently from food, the service can provide dietary supplement solutions for customers. Since the dietary supplement products on the market are general products for all the people that can not meet the need of each person’s unique nutrition requirement, therefore, our solution collaborates with nutrition product production factory to produce customized nutrition products for the customers. Personalized nutrition service needs to connect customers, genetic testing laboratories, and nutrition product production factory, therefore a customer relationship management (CRM) system is necessary to let customer read genetic report, order personalized nutrition products, place an order to nutrition factory to produce personalized nutrition products. In the paper, we give the technical design and deployment of a CRM system for supporting the personalized nutrition service. The CRM system has been delivered online and provides very successful service for customers, business partners, and intelligent nutrition factory.
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Acknowledgment
This work was partially supported by the Science Foundation of Beijing Language and Culture University (supported by “the Fundamental Research Funds for the Central Universities”) (20YJ040007, 19YJ040010, 17YJ0302).
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Yang, J. (2020). Customer Relationship Management for Personalized Nutrition Service. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12254. Springer, Cham. https://doi.org/10.1007/978-3-030-58817-5_70
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DOI: https://doi.org/10.1007/978-3-030-58817-5_70
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