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AI and Marketing Research Prediction to Consumer Behavioral : Comparision, Paperback / softback Book

AI and Marketing Research Prediction to Consumer Behavioral : Comparision Paperback / softback

Part of the Artificial Intelligence Consumer Behavior Prediction series

Paperback / softback

Description

On the manufacturers' beneficial hand, manufacturers can apply (AI) data gathering method to predict consumer emotion and buying behavioral changes more accurate. For example, the vehicle manufacturer, it plans to gather data to predict potential driving fast speed sport vehicle consumers' preferences trends in order to make the accurate judgement how to design its sport vehicles to attract many sport vehicle buyers who will choose to buy it's brand of any driving fast speed sport vehicles. It can attempt to apply (AI) intelligent learning system to gather global different brands of sport vehicle data concerns that all past driving fast speed sport vehicle buyer's preference of sport vehicle design. Then, the (AI) intelligent learning system gather global different brands of driving fast speed sport vehicle which had ever been purchased by the different country's driving fast speed sport vehicles consumers. After, it can compare divide the range of similar driving fast speed sport vehicle design and similar price to be different groups. The (AI) intelligent learning system can attempt to follow the past number of different brands of driving fast speed sport vehicle buyers to calculate how many driving fast speed sport vehicle buyers who choose to buy the brand of driving fast speed sport vehicle as well as it will analyze and make judgement to find whether the cheaper price reason attracts the different countries sport vehicle buyers choose to buy the brand of driving fast speed sport vehicle or the attractive design reason attracts the different countries sport vehicle buyers choose to buy the brand of sport vehicle or fast speed reason attracts the sport vehicle buyers choose to buy the brand of sport vehicle. For example, although some brands of driving fast speed sport vehicle manufacturers' prices are very high, but they can still attract global many sport vehicle consumers to buy.

Whether all sport vehicle's attractive design is the main factor to influence them to buy or whether it's fast speed is the main factor to influence them to buy or whether it's safe confidence it the main factor to influence them to buy or it's familiarity brand is the main factor to influence them to buy. (AI) intelligent learning system will attempt to make judgement and analysis to conclude whether the attractive design factor is the main factor to influence many sport vehicle consumers to choose to buy the brand of sport vehicles.

Otherwise, for another example, although some brands of driving fast speed sport vehicle manufacturer's prices are low, but they can not still attract many global many sport vehicle consumers to buy. Whether all vehicle's unattractive design is the main factor to influence them choose not to buy their fast speed driving sport vehicles or whether the unsafe factor is the main factor to influence them choose not to buy their fast speed driving sport vehicles or whether unfamiliarity brand is the main factor to influence many consumers choose not to buy their fast speeding sport vehicles.Thus, when (AI) learning system had helped the fast speed sport vehicles manufacturer to gather all different brands of fast speed driving sport vehicle's past sale data and price data, design of different sport vehicle, e.g. color choice, method of style, comfortable chair styles and chair sizes and what kinds of steel material to manufacture the sport vehicles data and driving safe and accident occurrence data and the data concerns what reasons of the past complaint to brand of sport vehicle manufacturer from its sport vehicle buyers.

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