Airlines are under increasing pressure to enhance operational efficiency and passenger satisfaction, as baggage mishandling continues to be a costly and ongoing challenge—costing the industry over $2 billion each year. Wipro’s AI-Powered Baggage Handling Solution reimagines this vital process through a combination of agentic AI, augmented reality (AR), and sensor-driven intelligence.

A Look into the Baggage Handling Challenge:

36M+      

Bags Mishandled
worldwide           

$2B        

Global Baggage
loss cost            

6.9 Bags

Mishandled/1K
passengers   

Source: SITA 2024. All data reflects annual global figures.

Our solution provides predictive risk scoring for every bag, allowing proactive interventions before issues occur. Whether it’s alerting handlers about high-risk bags due to last-minute gate changes or using AR glasses to verify routing accuracy in real time, the system empowers ground staff to act decisively and minimize errors. It also cross-references bag tags with live data to identify discrepancies and prioritizes late check-in baggage to ensure on-time departures.

Real-World Scenarios Solved by Our AI-Powered Baggage Handling Solution:

  1. Last-Minute Gate Changes
    Challenge: Bags often get misrouted due to sudden gate changes.
    Solution: Real-time alerts notify handlers of at-risk bags, enabling proactive rerouting.
  2. Tight Connection Windows
    Challenge:
    Short layovers increase the risk of missed baggage transfers.
    Solution: AI flags high-risk bags and prioritizes them for expedited handling.
  3. Manual Routing Errors
    Challenge:
    Human errors in routing lead to misdirected luggage.
    Solution: AR glasses allow handlers to visually confirm routing, reducing errors.
  4. Tag Discrepancies
    Challenge:
    Mismatches between bag tags and system data cause delays.
    Solution: The system cross-verifies tags with real-time data and flags inconsistencies.
  5. Late Check-In Baggage
    Challenge:
    Last-minute check-ins disrupt departure schedules.
    Solution: The system tracks and prioritizes late bags to ensure timely loading.

The outcome? Fewer mishandled bags, lower operational costs, enhanced on-time performance, and a more seamless, stress-free travel experience that boosts brand loyalty and customer satisfaction.