A system for providing real-time optimized product designs may obtain historical data and real-time data related to a product to identify real-time customer preferences and sentiments associated with the product. The system may provide a plurality of real-time potential attribute recommendations comprising attributes likely to be preferred by customers. The system may provide a set of preferred attribute recommendations based on the plurality of real-time potential attribute recommendations ranked highest in an attribute ranking order. The system may provide a cannibalization factor and a similarity index for each of the set of preferred attribute recommendations. The system may provide a real-time demand forecast of the product and may also provide a predicted cannibalization volume and a predicted incremental volume for the product in real-time. The system may determine a set of final attribute recommendations for the product to provide an optimized design for the product in real-time.
展开▼
