The Personal Sales E.ssistant makes relevant recommendations to a customer and instantaneously updates its predictive models as recommendations are presented and acted upon. Thus, as consumer behavior patterns emerge and evolve, the Personal E.ssistant's recommendations continuously adapt to present the most relevant offers and recommendations. The solutions differ depending on the shopping style of the consumer. Currently, on-line customers are being shown banner advertising, promotional items, and affiliate marketing links with little or no context to their interests. Shifting Focus from Transaction to Customer.
Customers add items to their shopping carts, but never make it to or through checkout.
This is exactly what Dynaptics' Personal E.ssistants do. By demonstrating an acute understanding of the needs of the individual site visitor, sites can ensure their customers become more loyal and extend the duration of their visits. In addition, there is a strong correlation between the relevance of product suggestions and the conversion of browsers into buyers. Dynaptics is targeting midsize to large merchants and business content sites. Dynaptics is positioning its Personal Sales and Information E.sisstants for the largely ignored middle market whose needs for ascertaining site response behavior is well beyond the clickstream analysis class of product and below what amounts to technology overkill provided by high end ecommerce platform vendors.