Sales automation assistants use Artificial Intelligence to introduce initial conversational exchanges with potential customers. This allows businesses to collect contact information, promote product features, and weed out low-potential customers, without burdening their sales teams.
Some assistants process natural language (NLP) to interact via email and chat. Once the AI has provided the other person with relevant information and determined that they are a potential customer, the qualified lead is passed to a salesperson to close the sale.
5. Product Marketing
E-retailers provide personalized product recommendations ecuador mobile database based on Artificial Intelligence solutions. They connect site visitors with other consumers with similar tastes. If User A and User B buy the same five products in May, it is very likely that User A will be interested in User B’s first purchases in June. Amazon uses this for its “Customers who bought this item also bought…” suggestion engine.
6. Dynamic pricing
Dynamic pricing uses machine learning to set the optimal selling price, at a given moment, based on what customers have been willing to pay for the product in the past under similar circumstances. In advertising, Google’s dynamic pricing thresholds automatically adjust the minimum amount a publisher will accept for a given ad impression, based on what advertisers have previously paid for a similar service.
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