Offering a smarter customer experience
Customers anticipate that businesses will meet their requirements, have the goods they desire, and interact with them in real-time. The second-largest US shopping center, Mall of America, collaborated with IBM to offer a chatbot by the name of E.L.F to satisfy client expectations. This chatbox guides visitors across the enormous complex by personalizing their shopping plans and providing the best customer service for each of them- Shamayun Miah.
Offering incentives at the point of sale through loyalty rewards or promotions is another aspect of this personalization. Companies can send clients personalized direct mail to increase sales thanks to the obtained personal data.
As a store, you miss out on a lot of free and potentially important information that might help you recognize trends if you don’t pay attention to social media.
Examining the Purchase Process
Another retail tool that can be enhanced by data science is the examination of a customer’s path to purchase.
Although the path to purchase strategies have been studied by marketers for a long time, the development of data science has made it possible for them to fully utilize this kind of analysis. There are many various routes customers can take to purchase a product thanks to the growth of omnichannel sales and multichannel marketing in the retail industry- Shamayun Miah.
Machine learning methods can assist with comprehending customer purchasing patterns and concentrating on what precisely functions in the real world.
Examination of purchase tickets
Retailers frequently utilize market basket analysis to identify the product categories that their customers are most likely to purchase together. From a business perspective, it’s a standard procedure, but thanks to data science, it’s now automated.
The ability to evaluate a bigger amount of tickets and, thus, to have more confidence in the analysis is made possible by the data storage capacity, which is continuously growing.
Taking care of the property
Large shops can also optimize their real estate management expenses with the aid of data science. Therefore, performing preventive maintenance (data analysis) on a building’s various systems can help avoid catastrophic failures- Shamayun Miah.