Active salespeople are one of the key factors that ensure the smooth operation of in-store sales activities. They provide relevant information to customers who walk into the store to help them find what they are looking for. Availability of such resources and the training time required are some of the challenges faced by store management. Along with that, there’s also the fact that today’s ‘customers’ prefer to engage with a digital sales concierge rather than dealing with a real person and this is backed by recent research studies.
In-store AI conversational tools are the perfect customer support option for in-store sales. The solution we built for our client is a kiosk-based, in-store conversational tool. Customers to the store can interact with the device to seek information about the products they want. The system delivers meaningful, quick information to the customer which in turn enhances the user experience for the customers. The system also has face recognition to identify the repeat customers so that it can recommend new offers and suggestions.
The system is built with robust Natural Language Processing (NLP) and Natural Language Understanding (NLU) algorithms to facilitate life-like interactions with the user. It also has speech-to-text and text-to-speech engines so that the system can provide instant answers to common questions customers may have when examining products.
The system helps the management to retain and re-engage customers by sending personalized messages as well.