Towards Revenue Maximization with Popular and Profitable Products

Economic-wise, a common goal for companies conducting marketing is to maximize the return revenue/profit by utilizing various effective strategies. Consumer behavior crucially important in economy and targeted marketing, which behavioral economics can provide valuable insights identify biases profit from customers. Finding credible reliable information on products’ profitability is, however, quite difficult since most products tend peak at certain times w.r.t. seasonal sales cycles year. On-Shelf Availability (OSA) plays key factor performance evaluation. Besides, staying ahead of hot product trends means we increase efforts without selling out inventory. To fulfill this gap, paper, first propose general profit-oriented framework address problem revenue maximization based economic behavior, compute O n-shelf P opular rofitable roducts (OPPPs) marketing. tackle problem, model k-satisfiable concept an algorithmic searching OPPP its variants. Extensive experiments are conducted several real-world datasets evaluate effectiveness efficiency proposed algorithm.