As advanced in a previous article, data science can be used to considerably enhance the revenue
generated by your e-commerce business. This is because it can be leveraged in a
variety of ways. Find more of those below.
Promotions
Most marketers determine the success of their promotions by comparing the results with previous campaigns. Thanks to machine learning, they can go even further since they would be able to customise promotions at both the product and customer level. For instance, if you have data that a shopper completes a deal only when an item is 10% off, you can send him/her a discount coupon.
Most marketers determine the success of their promotions by comparing the results with previous campaigns. Thanks to machine learning, they can go even further since they would be able to customise promotions at both the product and customer level. For instance, if you have data that a shopper completes a deal only when an item is 10% off, you can send him/her a discount coupon.
Product visualisation
The concept of image analysis is fairly new. However, companies are increasingly using product visualisation to understand the items that shoppers find attractive. They do so by coding the picture on each product. Thanks to data science, merchants can take it a step further and find the optimal combination of model, texture, photo quantity, light, and other variables to make a product more appealing.
The concept of image analysis is fairly new. However, companies are increasingly using product visualisation to understand the items that shoppers find attractive. They do so by coding the picture on each product. Thanks to data science, merchants can take it a step further and find the optimal combination of model, texture, photo quantity, light, and other variables to make a product more appealing.
Recommendations
Various huge websites use sophisticated recommendation algorithms to make suggestions based on each customer’s purchase history or searches. A similar process can also be utilised to recommend common upsells and cross-sells from popular items.
Various huge websites use sophisticated recommendation algorithms to make suggestions based on each customer’s purchase history or searches. A similar process can also be utilised to recommend common upsells and cross-sells from popular items.
Data science can help for recommendations
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