Cashierless and Interactive Stores

Introduction

One factor responsible for reducing traffic in shopping malls is the wait time that customers have to endure to purchase items. Another problem is locating items and getting information on goods in understaffed stores that are unable to keep up with providing personalized guidance. The COVID-19 pandemic has necessitated reduced human contact, making the shopping experience more burdensome for customers and service providers. 

Improving Shopping Experiences

Artificial intelligence can collect data based on previous shopping preferences to recommend products for customers. As an advancement to this, with the help of AI, customers can create shopping lists, and with image recognition and computer vision technologies, these item selections are tracked, selected, and forwarded to automated checkout centers for costing and checkout.

Intelligent robots can also provide in-store navigation and furnish shoppers with detailed information on selected products such as warranty, allergy information, precautions, comparable brands, etc. 

AI chatbots can ask customers specific questions for behavior analysis and forecasting. Questions about their preferences generate personalized recommendations that can be saved to be used during every shopping experience or updated for changes in taste.

Stores like Sephora make it easy to find perfect makeup shades by scanning the customer’s face and providing personalized recommendations for makeup products without needing to go through several testers and swatches.

Amazon has gained a reputation in retail advancements with the revolutionary Amazon Go store, where customers walk in, pick what they want and walk out. Sensors and cameras in the store track what customers purchase, and their Amazon account is charged for it when they leave. This eliminates crowded stores, long waiting lines, and the need for cashiers and store attendants.

Self-checkout in many stores is also useful in reducing the time spent in a checkout line waiting for a human cashier. Time saved by the customer can be redirected to more shopping or increase customer retention rates.

Delivery robots have also taken the shopping experience with AI further by fulfilling customer orders to their doorstep with minimal human intervention.

Assisting retailers

AI gives retailers an insight into their customers’ preferences, studying their data and reviews to know what they want and what they do not like. This data can also be useful in running targeted marketing campaigns.

Product categorization can also be done using AI in the best customer-oriented way based on shopping patterns that have been recognized from the store’s database. Stock can also be replenished by real-time monitoring with the ability to track best sellers and easily monitor for expirations of products.

In conclusion, AI has been used in several stores to customize product recommendations, make store navigation easier, understand personal preferences, and create an overall unique experience for the customer.


References

https://www.forbes.com/sites/blakemorgan/2019/03/04/the-20-best-examples-of-using-artificial-intelligence-for-retail-experiences/?sh=622b8dac4466

https://appinventiv.com/blog/impact-of-ai-in-retail/amp/

https://towardsdatascience.com/reinventing-malls-for-the-ai-age-7d8f0d0af30d

https://www.iamdave.ai/blog/shopping-malls-bet-big-on-ai-to-drive-customer-engagement/#:~:text=AI%20is%20one%20of%20the,fast%20processor%20and%20detailed%20algorithms

https://towardsdatascience.com/reinventing-malls-for-the-ai-age-7d8f0d0af30d



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