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  • Smart Elevators, Smarter Service

    How IoT and AI Are Elevating Efficiency & Safety

    Smart Elevators, Smarter Service: How IoT and AI Are Elevating Efficiency & Safety

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Client

The client is a global leader in industrial equipment manufacturing, with a strong presence in the elevator and escalator industry. With installations across the world, the client serves a diverse set of customers, ensuring seamless operations, compliance with evolving safety regulations, and optimized maintenance.

However, increasing price sensitivity among customers led to higher churn rates, impacting revenue. Additionally, improving service efficiency became critical to maintaining profitability in a competitive landscape. To address these gaps, the client sought a proactive and predictive technology-driven approach to enhance maintenance, strengthen compliance, and improve overall customer experience.

Market Trends in Manufacturing and Service Industries

Manufacturers and service-based industries are embracing digital transformation to enhance efficiency and customer engagement. With increasing competition from local players, companies are focusing on value-added services to drive customer retention. At the same time, stricter government regulations are pushing businesses to improve safety, compliance, and operational transparency.

In asset-intensive sectors like elevators, IoT digital transformation is reshaping service models, enabling predictive maintenance and real-time monitoring. The aging workforce and skill shortages make AI-driven training and knowledge retention essential.

As the future of the elevator industry moves toward smarter, data-driven ecosystems, organizations must adopt intelligent solutions to stay ahead. LTIMindtree has been a trusted partner for manufacturers, leveraging AI, IoT, and cloud technologies to help organizations enhance service efficiency, meet compliance needs, and drive sustainable growth.

Market Trends in Manufacturing and Service Industries

Challenges and Improvement Areas

  • Missing out new contracts: Without IoT integration and predictive maintenance capabilities, companies risk losing potential clients who prioritize technology-driven service efficiency.
  • Losing existing contracts: Price-sensitive customers are switching to competitors offering more cost-effective, tech-enabled service plans, leading to revenue loss.
  • Fragmented digital interfaces: Customers currently navigate multiple disconnected systems to access elevator service, maintenance, and complaint resolution, leading to inefficiencies. A single unified platform is needed.
  • Workforce readiness: The aging skilled workforce poses a risk as tribal knowledge is lost. AI-powered training and guidance can bridge the knowledge gap for new technicians.
  • Passenger safety & experience: Ensuring continuous communication (voice, video, and text) in case of elevator malfunctions is becoming a regulatory necessity and a customer expectation.
  • Compliance with safety regulations: Governments are enforcing strict real-time reporting requirements for system failures, demanding automated, IoT-enabled compliance reporting.
  • Field productivity: Technicians face inefficiencies due to a lack of real-time access to service history, manuals, and troubleshooting guides, leading to longer issue resolution times.

Opportunities

Addressing these challenges opens several opportunities for enhanced efficiency, customer satisfaction, and new revenue streams:

 
Optimized service operations

Optimized service operations

A unified digital interface enables mechanics, supervisors, and customer service teams to access real-time data, reducing response times and enhancing workforce productivity.

Stronger customer engagement

Stronger customer engagement

Real-time voice, video, and text communication during emergencies, proactive maintenance tracking, and automated compliance reporting enhance reliability and trust.

Revenue diversification

Revenue diversification

A tiered subscription model for predictive maintenance and premium support services creates monetization opportunities while boosting retention.

Data-driven value creation

Data-driven value creation

IoT digital transformation insights can support insurers in refining premium models, assist building management systems (BMS) in optimizing automation, and enable robotics firms to enhance navigation.

Market expansion

Market expansion

Connected products and IoT capabilities strengthen the client’s competitive edge, positioning them to secure new contracts.

These opportunities, when executed effectively, drive both operational efficiency and long-term business growth.

LTIMindtree Solution

The client partnered with LTIMindtree to develop a scalable digital innovation system that enhances efficiency and provides valuable insights across its global elevator and escalator network. The solution is structured into three key layers:

 
Edge Tier

Edge Tier

This layer is responsible for collecting data from elevators and escalators using sensors and controllers. It also includes basic analytics at the source to detect potential issues early and gather additional information when needed.

Platform Tier

Platform Tier

Acting as the backbone of the system, this tier ingests raw data from IoT devices across the client’s global network. The data flows through multiple pipelines, integrating inputs from various enterprise systems. Advanced AI and machine learning models analyze the information, identifying patterns, predicting maintenance needs, and improving operational efficiency.

Enterprise Tier

Enterprise Tier

Designed to make insights accessible and actionable, this tier consists of applications tailored to different users, field technicians, contact center teams, and management. These role-based applications provide real-time updates and decision-making tools, ensuring smoother operations and an improved customer experience.

By the end of 2024, this solution was adopted globally, managing more than 600,000 elevators and escalators.

Business Benefits

We collaborated with the client as their solution partner using an AI-driven approach leveraging our Vision NXT CV platform for their transformation journey. This AI integration in the car rental company’s visual inspection processes included the following key steps:

Fewer service interruptions

Predictive insights reduced service tickets by 10-15%, minimizing unplanned disruptions and enhancing customer satisfaction.

Optimized maintenance efficiency

AI-powered diagnostics lowered maintenance hours by 10-20%, enabling teams to work smarter and focus on critical tasks.

Expanded service portfolio

Improved reliability and data-driven offerings contributed to a 2-5% growth in service contracts, strengthening long-term customer relationships.

Increase in new equipment sales

The enhanced service experience and proactive recommendations led to a 2-5% rise in new equipment purchases.

Improved financial performance

Greater productivity, reduced inefficiencies, and optimized service operations translated into higher revenue and margins.

Quote

LTIMindtree has been a trusted partner from the start of this digital transformation journey. With strong thought leadership, innovative program management techniques, and a diverse skill set, we have played a key role in the development, deployment, and support of this transformative program. Our connected elevator solution drives tangible value for clients by enhancing customer engagement, increasing service revenue, and improving efficiency and profit margins.

Sameer Joshi, Sr. Engagement Partner, iNXT, LTIMindtree

Conclusion

The future of the elevator industry is increasingly shaped by AI, IoT, and data-driven intelligence. The journey of transforming service operations through AI and IoT is far from over. With years of collaboration, this engagement continues to evolve, moving into its next phase—enhancing existing solutions and integrating AI-driven intelligence to unlock even greater efficiencies. As long-term partners, the focus remains on co-creating value, refining predictive capabilities, and ensuring sustained benefits. With each iteration, the goal is not just optimization but also pioneering new possibilities for a smarter, more connected future.

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