Dynamic pricing is one of the fundamental foundations of commerce. Selling the right product to the right person is important, but so is selling it at the right price and at the right time!
To do this, it is important to analyze the market and know exactly slovenia mobile database to stand out from the competition. Knowing the prices and dynamics of other e-commerces can be the big differentiator for a successful BF. And this is done through Big Data analysis .
Through AI and ML, instead of having a person analyze competitor prices and make changes manually, it is possible to use a large database to read market price trends . This makes it easier to assign a more assertive pricing strategy specifically focused on Black Friday.
Consumer analysis
The purchasing behavior of one person can be very different from another. And finding a Black Friday plan that takes these differences into account is not always an easy task.
With machine learning, for example, it is possible to identify and establish predictions of user behavior, such as preferred channels or peak consumption times . Based on this learning, your e-commerce can create personalized communications and strategies, impacting the end consumer in a more assertive way and generating a much more positive result at the end of the BF.
Optimized communication
Another point where artificial intelligence and machine learning can help is in direct communication with your customers through chatbots .
Since the volume of contacts can increase during Black Friday, the use of tools such as chatbots can optimize the time of the customer service team and generate greater satisfaction among your customers , who can resolve different queries quickly and effectively.
Dynamic pricing calculation
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