Gamefication of Shopping process for big ticket items
Traditional methods of risk assessment are not as reliable as they use to be due to constant changes in consumer behavior and environment. At the same time, new generations are more and more engaging into virtual reality and getting their gratification from intangible goods that are not easily marketable. The gap between the providers of big ticket items and the potential consumers is increasing and the communication between the two sides of the commercial transactions require a facilitator. Traditional credit evaluation system are not good predictors of risk, because they are based in old conservative paradigms. Several good sales opportunities are missed and some high risk transactions are made, jeopardizing the markets. What if experienced data gathering companies could develop better models of risk evaluation based on the everyday behavior of the consumer and they could provide a curated risk rate associated with the consumer based on user's credibility, reputation and behavior data available online and measured on user's connected devices?
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