How Conversational AI Will Change Indian Aviation Sector: The MSME Perspective

Conversational AI can help MSMEs in the aviation industry improve their competitiveness and provide better customer experiences, leading to increased customer loyalty and revenue.

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Faiz Askari
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AI Aviation

Micro, Small, and Medium Enterprises (MSMEs) in the aviation industry can benefit significantly from conversational AI. Conversational AI can help MSMEs improve their customer engagement by providing personalized, real-time assistance to customers. It can also reduce staffing requirements and improve efficiency by automating repetitive tasks such as responding to customer queries and managing bookings. By using conversational AI, MSMEs can improve their scalability, handle a larger volume of customer interactions, and achieve better outcomes. Additionally, conversational AI can provide valuable insights on customer behavior and preferences, enabling MSMEs to make data-driven decisions. Overall, conversational AI can help MSMEs in the aviation industry improve their competitiveness and provide better customer experiences, leading to increased customer loyalty and revenue.

Conversational AI for Indian Aviation Sector

Conversational AI can play a significant role in improving the customer experience in the Indian aviation sector. Here are some potential use cases:

  1. Flight Information: Conversational AI can provide passengers with real-time flight information, including updates on departure and arrival times, gate changes, and delays. This can help passengers stay informed and reduce the stress and uncertainty associated with travel.
  2. Ticket Booking: Conversational AI can assist passengers with ticket booking, including selecting flights, choosing seats, and making payments. This can improve the booking process by reducing the time and effort required by passengers.
  3. Baggage Information: Conversational AI can provide passengers with information about baggage allowances, restrictions, and tracking. This can help passengers plan their packing and avoid issues at check-in and boarding.
  4. In-Flight Services: Conversational AI can offer passengers personalized recommendations for in-flight services, including meals, drinks, and entertainment options. This can enhance the passenger experience and increase satisfaction.
  5. Post-Flight Services: Conversational AI can provide passengers with post-flight services, including feedback, complaints, and lost luggage assistance. This can help airlines resolve issues quickly and improve customer satisfaction.

In summary, conversational AI has the potential to improve the customer experience in the Indian aviation sector by providing real-time information, assisting with ticket booking, providing baggage information, offering personalized recommendations for in-flight services, and providing post-flight services.

Airlines Can Improve Their Vendor Ecosystem through Conversational AI

Airlines can improve their vendor ecosystem through conversational AI in several ways:

  1. Streamlining Procurement: Conversational AI can help airlines streamline their procurement process by providing real-time insights on vendor availability, pricing, and delivery timelines. This can enable airlines to make informed decisions and reduce the time and effort required to manage vendors.
  2. Vendor Onboarding: Conversational AI can assist airlines in onboarding new vendors by providing them with information on the airline's procurement process, policies, and requirements. This can help vendors better understand the airline's expectations and requirements, leading to better collaboration and outcomes.
  3. Order Management: Conversational AI can help airlines manage orders by providing real-time updates on order status, tracking, and delivery. This can help airlines ensure timely delivery and reduce the risk of delays and disruptions.
  4. Issue Resolution: Conversational AI can assist airlines in resolving issues with vendors, such as quality issues, delivery delays, and payment disputes. This can help airlines address issues quickly and efficiently, reducing the impact on their operations.
  5. Performance Tracking: Conversational AI can help airlines track vendor performance by providing data on metrics such as delivery times, quality, and pricing. This can help airlines make data-driven decisions and identify opportunities for improvement.

In summary, conversational AI can help airlines improve their vendor ecosystem by streamlining procurement, assisting with vendor onboarding, managing orders, resolving issues, and tracking performance. By leveraging conversational AI, airlines can reduce the time and effort required to manage vendors, improve collaboration, and achieve better outcomes.

 

 

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