Conversational AI Tool

For Etisalat, we developd a cutting-edge, kiosk-based conversational AI tool for in-store customer engagement. This sophisticated tool efficiently comprehends the inquiries of walk-in customers and provides precise responses, aiding them in discovering the ideal products they seek.


Etisalat is one of the leading telecom operators in the UAE. The company has many store outlets all over the UAE with interactive features to give customers a first-hand experience of various products offered by the company.


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. But for a majority of customers, the retail shopping experience is a frustrating one. Customers have to wait for sales concierges to free or often had to go through various sections before finding the right product. This is time-consuming. Our client faced the same problem in their smart store outlets and wanted a solution for it. 

Deploying more sales concierges was not a viable and scalable solution. The company would need to spend a large amount of time to train the workforce to make them ready to interact with the customers. Also, maintaining such a team increases the operating cost. Moreover, there is an increased demand and adoption of self-help services among customers. 


Our client put forward the business requirements to build a tool that can engage with the in-store customers, understand the queries of the walk-in customers and deliver the right responses to them. The interface should be intuitive as well as attract the customers to use it. 


Today’s customer prefers to engage with a digital sales concierge rather than dealing with a real person. The digital medium provides easier and quicker actions as compared to any other method. For our client, we built kiosk-based in-store AI conversational tools that can address a customer’s queries at the point of occurrence. Walk-in customers 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 capability to identify recurrent customers so that it can recommend new offers and suggestions. They are the perfect customer support option for in-store sales. The users can either talk to this digital sales concierge or type in a chat interface to ask questions, submit feedback, inquire about offers, etc. The system built using advanced AI and NLP technologies can accurately understand the requirements of the user and responds to them accordingly.


In-store AI conversational tool is armed with a powerful AI algorithm with Natural Language Processing (NLP) capability. The robust NLP is able to process questions asked by the user and reply with a personalized answer that is derived from the information obtained from PDF documents, brochures, or notices about the business. The business owner can upload all documents related to the business to the system and the system, in turn, analyzes the contents of the documents and fetch answers from the document for the queries asked by the user. The system is built using the following technology components. 

  • Natural Language Understanding
  • Natural Language Processing
  • Speech to text
  • Text to speech
  • Entity recognition
  • Face recognition


Unlike other solutions available in the market, the admin do not need to configure the questions and answers from the dashboard. The admin can upload the documents related to their business, such as offer details, business brochures, etc to the system. The system can learn from the documents by itself and respond to the queries asked by the users.  


Using the in-store digital sales concierges, our client was able to provide personalized experiences and interactions to every customer. This has boosted the customer experience as most of the customers engaged with the Kiosk based tool rather than talking to a human counterpart. Our client was able to reduce the number of staff assigned as sales concierges and was able to use them for more challenging tasks. 

Do You Need Help?

Please don't hesitate to contact us if you want to discuss your project requirements or are interested in a detailed case study of this project.

Let’s Get Started

The first step towards greatness begins now, let's embark on this journey.

Help us Help you.

Share more information with us, and we'll send relevant information that cater to your unique needs.

Final Touch

Kindly share some details about your company to help us identify the best-suited person to contact you.

Contact Details


How may we help you?


Company Information


Frequently Asked Questions

What are the advantages of a kiosk-based conversational AI tool?
  • Enhanced Customer Experience: A kiosk-based conversational AI can significantly improve the overall customer experience by providing an interactive and personalized self-service option. Customers can engage in natural language conversations with the AI tool, making it convenient and intuitive to seek information or assistance.
  • 24/7 Availability: Unlike human staff with limited working hours, a kiosk-based conversational AI is available round the clock. This ensures customers can access information and support whenever needed, reducing waiting times and enhancing customer satisfaction.
  • Cost Efficiency: Implementing a kiosk-based conversational AI tool can reduce operational costs by minimizing the need for human resources. The AI tool can handle many customer inquiries and tasks, freeing staff to focus on more complex or specialized issues. This cost-saving benefit is particularly valuable for businesses with high customer footfall or frequent repetitive inquiries.
  • Consistency and Accuracy: This tool can consistently deliver accurate and up-to-date information to customers. The AI system is programmed with vast knowledge and can provide consistent responses, minimizing the risk of human error or inconsistencies in information delivery.
  • Scalability and Efficiency: Kiosk-based conversational AI tools can handle multiple customer interactions simultaneously, enabling efficient and scalable service. With the ability to engage in parallel conversations, the AI tool can handle peak demand periods without delays or bottlenecks, ensuring a smooth customer experience.
  • Data Collection and Insights: A kiosk-based conversational AI can collect valuable data on customer interactions, preferences, and trends. This data can be used to gain insights into customer behavior, identify areas for improvement, and refine business strategies. The AI tool can also provide analytics and reports on customer engagement, allowing businesses to optimize their offerings and make data-driven decisions.
  • Multilingual Support: With the ability to support multiple languages, a kiosk-based conversational AI tool can cater to a diverse customer base. This is particularly beneficial in environments with international visitors or customers more comfortable interacting in their native language.
  • Upselling and Cross-selling Opportunities: An AI tool deployed in a kiosk setting can offer personalized recommendations and promotions based on customer preferences and previous interactions. Moreover, this creates opportunities for upselling and cross-selling, enhancing business revenue generation.
  • Evolutionary Potential: As AI technology advances, kiosk-based conversational AI tools can benefit from future updates and improvements. They can be upgraded with new features, enhanced language processing capabilities, and integrations with emerging technologies, ensuring the AI tool remains relevant and adaptable in an ever-evolving business landscape.

Ready For Your Own Success Story?

Reach out to us today to discuss your project and avail a free a no-obligation consultation.


Natural Language Understanding

Natural Language Processing

Speech to text

Text to speech

Entity recognition

Face recognition

Technologies Used