: The purpose of this study is to expect the net income extent for natural merchandise, pick out vital elements for promoting natural
merchandise, and advise internet advertising techniques for natural product income. Through the evaluation of natural merchandise on
Taobao’s platform, the emotional evaluation technique is used to divide the evaluation of crawling natural merchandise into fantastic
evaluations and poor evaluations. Using the Latent Dirichlet Allocation (LDA) technique, extracting keywords, figuring out vital elements for
promoting natural merchandise, the use of online survey techniques and regression evaluation techniques, acquiring customers’ buy intentions,
and suggesting internet advertising techniques for natural product income, and with the aid of using gathering statistics on natural
merchandise’ rate, modern rate, loose shipping, income extent, variety of patron evaluations, patron evaluations, natural labelling, and product
enthusiasts on Taobao’s platform, the neural community evaluation technique is used to are expecting the net income extent for natural
merchandise. This has a look at determined that packaging design, dietary information, meals quality, shipping hazard, freshness, and supply
hazard are the vital online elements with inside the shopping for of natural merchandise, and the merchandise’ enthusiasts, rate discount, and
numerous patron evaluations affected the income extent. Therefore, the merchandising of online offerings and logistics may be used to grow the
income of natural merchandise. This study has a vital function in selling the sale of natural merchandise and enhancing customer satisfaction,
imparting customers with secure and dependable merchandise, and on the equal time has vital importance for selling sustainable development.
Keywords— artificial neural network; route-planning system; machine learning; A-star; shortest-path model.