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Internet of Things

The lines separating the physical and digital spheres continue to get blurred in today's hyper-connected world, spawning an era of true convergence. A key driver of this accelerating trend is the rapid proliferation of connected, "smart" machines, devices, products, services, people and wireless networks, commonly referred to as the Internet of Things (IoT). The IoT ecosystem, including "intelligent" meters & appliances, connected cars, Radio Frequency Identification (RFID) tags and wearables, is generating unprecedented volumes of data around the various dimensions of consumer and enterprise worlds. And, companies have started aggressively leveraging Big Data, Analytics, Machine Learning, Artificial Intelligence, and other disruptive technologies, to glean tangible insights from this deluge of information that is emanating from their physical and digital infrastructure.

Widespread Applications

Be it enabling people to self-monitor their health & wellness through connected devices, or empowering manufacturers to use sensors for optimizing equipment maintenance and improving worker safety, IoT's applications continue to expand by the day. On the consumer front, IoT Mobile Apps have made their way into our living rooms, thanks to the growing adoption of smartphones, Near Field Communications (NFC), wearables, virtual reality headsets, Wi-Fi and Bluetooth.

Meanwhile, companies across several industries-including manufacturing, aviation, automobile, energy, retail, and mining-are seeking to harness IoT-enabled convergence for boosting operating efficiency and enterprise productivity, as well as for transforming their business models. The following three use cases highlight the tangible manner in which IoT solutions are redefining the business landscape:


Industrial Services

  • Traditional industrial firms are beginning to harness IoT for selling even capital intensive products as a service, and thus, diversify their revenue streams. LTI's MOSAICTM powered solutions such as Prime Plant, OPERA, Digital Refinery, Worker Safety and Asset Monitoring are few examples of solutions that deliver these benefits to clients.

Product Hybridization

  • Service providers are now using the data captured by third-party products to hybridize it. LTI's MOSAICTM powered solutions such as Digital Analytics, Warranty Analytics, Pricing Analytics, and Intelligent Wellpad are few examples that offer product hybridization to clients.

Service Innovation

  • IoT is also triggering a re-imagination of the services ecosystem. Insurers have started optimizing underwriting practices, by mining the real-time risk information generated by "smart" homes and cars. LTI's MOSAICTM powered Connected Insurance, Smart Elevator and Maintenance as a Service, are few IoT solutions that highlight these capabilities.


Automotive & Aerospace Industries

  • Internet of Things (IoT) is increasingly making its presence felt in Automotive & Aerospace industries, helping car makers and Original Equipment Manufacturers (OEMs) redefine customer experience, boost operational efficiency, and diversify revenue streams.
  • IoT-enabled "connected cars", with embedded internet connectivity and GPS tracking, now let users, among other things, receive traffic-related alerts, configure the most optimal route, and customize the vehicle as per their personal preferences and requirements. Drivers are getting notifications for forward collision warning, vacant parking space, or congested traffic en route home, thanks to the Vehicle-to-Infrastructure (V2I) technology. And, in-vehicle infotainment has been transformed, with IoT and telematics facilitating on-demand access to information & entertainment, including news, music, movies and social media notifications. Connected fleets can increase efficiency, save money, and create new business models. Fuel costs can be reduced, routing can be optimized, and wait times for critical and time-sensitive material can be improved. Predictive maintenance is revolutionizing vehicle maintenance and usage.
  • Aerospace companies, meanwhile, have started using IoT solutions and services to mine the Big Data being generated by sensor-equipped industrial equipment such as jet engines, gas turbines and MRI machines, for significantly improving equipment performance. OEMs are able to harness advanced data analytics for accurately forecasting engine demands, and accordingly, adjust thrust levels, reduce fuel consumption, and curb engine noise and emissions. IoT is also making it faster and easier to transmit data via avionics systems, including updates regarding dynamic flying conditions and any in-flight faults, to maintenance teams.
  • In Manufacturing, IoT brings solutions for optimizing field services, and providing traceability & warranty management. It also delivers a scalable & secure enterprise solution, which provides the visibility to define, control and optimize manufacturing processes across multiple sites and functions, while still accommodating specific plant-level requirements for highly responsive, adaptive manufacturing.


  • The Hi-Tech industry, an early and enthusiastic adopter of IoT services, continues to harness the connected network of devices & applications across its industrial landscape, for reducing costs and creating new revenue streams.
  • New licensing and entitlement management systems being rolled out by semiconductor companies today, provision controlled access to internet-connected devices, their functions and functionalities. Such setups also involve more flexible pricing and packaging, allowing manufacturers to diversify revenue channels, by bundling product features and providing upgrade paths.
  • Chip makers are also leveraging IoT to offer end-to-end solutions, delivering on-chip security, processor function partitioning, and a broad array of hardware and software services-including data encryption & authentication, and access management.
  • During manufacturing, IoT plays a critical role through in-process analytics for yield management, improving availability of production lines though predictive maintenance, digital identities & sensors for counterfeit detection, and intelligent product movement and storage systems.
  • Proactive, predictive asset maintenance through IoT solutions is another major focus area in the context of the Hi-Tech sector. Sensors installed in different parts of the machines can provide continuous visibility into the assets and their operating conditions. The underlying data can be mined in real-time, and alarms can be triggered whenever the data falls outside the standard operating limits, signaling the need for maintenance.

Oil & Gas

  • Rationalizing Exploration & Production (E&P) costs has emerged as a key focus area for Oil & Gas companies worldwide, as revenue growth remains a challenge amid persisting volatility in energy prices.
  • Against this backdrop, the industry is seeking to leverage IoT for collecting and organizing internal data, and then smartly storing and analyzing the same for boosting workflow and supply chain efficiency, as well as workforce productivity. As a case in point, site visits could be reduced, and data gathering expedited, through remote, round-the-clock monitoring of energy fields that would enhance visibility into operations.
  • IoT could also be applied for data-driven tracking of equipment, wherein sensors continually monitor for any deviations in the drilling process, and transmit the findings to maintenance personnel. Apart from making the environment around drill sites safer, this would allow companies to make substantial financial savings.
  • Another use case pertaining to IoT is in the realms of remote performance monitoring. Through diligent collection and mining of information relating to asset efficiency, E&P enterprises are now able to compare production levels of different rigs for maximizing output.
  • Robust performance monitoring, in turn, can foster easier forecasting of production, thereby influencing capital deployment decisions, and also helping engineers configure the requisite changes in lifting methods-based on changes in reservoirs over time.
  • IoT has a strong influence in midstream and downstream business as well, for the Digital Refinery, Integrated Operation Centers, Integrated Pipeline Operations, Terminal Management and Critical Asset Performance Management.

Process Manufacturing

  • Process Manufacturers across the board today, recognize the pressing need to reduce operating costs, boost asset & resource utilization levels, reduce time-to-market, and increase agility in a volatile marketplace.
  • By fostering connected operations, IoT can allow companies that make products involving formulas and chemicals, to gather data from "smart" equipment, and combine the same with intelligence gleaned from business systems and people. The resulting granular visibility into operations ensures real-time process calibrations for increased operational efficiency.
  • Through IoT-driven monitoring of equipment and operating parameters, process manufacturers can institutionalize round-the-clock asset health tracking across their manufacturing plants, for automatic triggering of alerts and associated service responses.
  • Some companies in the chemical industry, meanwhile, are leveraging the intelligence generated from connected operations to unlock new revenue streams, linking product replenishment to intelligent, real-time tracking of consumable data. On the other hand, food and beverage makers have begun using asset & material tracking to spot and reduce theft, and optimize inventory management, by tagging and tracing products throughout the supply chain.
  • Overall, IoT consulting and solutions are increasingly enabling process manufacturers to improve the quality of products & services, enhance their flexibility in responding to dynamic market realities, deliver superior customer service, and improve ROI.

Engineering & Construction

  • Engineering & Construction (E&C) companies have started deploying IoT across a broad range of their operations, with a view to managing assets more effectively, boosting workforce productivity and ensuring sustainable development.
  • Equipment tracking & repair, which accounts for a substantial portion of the sector's operating costs, is a major focus area, with sensors built into machinery, self-detecting any pressing need for repair, on a proactive basis. IoT can foster predictive maintenance of heavy construction equipment by remotely monitoring key performance indicators, concerning temperature variations and excessive vibrations, and triggering alerts in case abnormal patterns are detected.
  • IoT technology is giving rise to the connected worker-a worker who is more aware of, and sensed by, and where their environment is inherently safer. Wearable and embedded sensors are making it possible for workers to be monitored within their surroundings, to prevent injury from falls, overexertion, heavy machinery, etc.
  • Similarly, inventory management has improved appreciably, thanks to sensors triggering notifications in the event of a downtime, caused by low supply stock or workers sitting idle on site. Building Information Modeling (BIM) has also been optimized, as E&C businesses increasingly use sensor data to model attributes such as energy usage patterns, temperature trends, or the movement of people throughout a building.
  • Another significant impact of IoT has been with regard to the design and engineering of building systems. Green buildings are now being configured for automating shutdown of unnecessary systems when the building lies unoccupied, or for opening and closing louvers to let in optimal levels of natural light. This is paving the way for sustainable architecture and construction, as well as effective energy management.

Consumer Packaged Goods

  • IoT is enabling Consumer Packaged Goods (CPG) companies to transform the way they target and engage with their customers, as well as to enhance operational efficiency and accelerate innovation.
  • For instance, in order to ensure proper handling of perishable and temperature sensitive products en route, firms now leverage sensors to measure & track transportation variables such as temperature, humidity, vibrations and altitude. Product tracking, through IoT and RFID, is getting more effective, with enterprises being able to monitor shipments throughout their extended, complex supply chains.
  • By attaching sensors to in-store displays, companies today are optimizing product placements on shelves, for higher brand visibility. Some businesses, meanwhile, are experimenting with IoT-driven location targeting, whereby in-store sensors track shopping and traffic patterns to generate actionable insights around consumer behavior, for better outreach and engagement initiatives.
  • Another emerging use case is in relation to the usage of sensor-rich "smart shelves" for automating ordering, and identifying consumer demographics. Such shelves can trigger restocking or reordering in case of an item running out, and can also be embedded with facial recognition technology to capture demographics data such as buyer gender and estimated age.


  • As buyer expectations keep getting radically redefined in the digital era, tech-savvy retailers are leveraging IoT to automate several functions that can help them better plan, market and target consumers with compelling experiences. Merchants have started collecting, sharing and analyzing real-time IoT data from sensor-equipped smartphones, wearables and other "smart" devices, to glean tangible, multi-dimensional insights around their operations and customers.
  • In-store apps can now identify long waiting periods at specific locations within an outlet, and send text alerts to shoppers. Similarly, in-store beacons and "smart" cameras embedded with sensors are tracking real-time location data sourced from smartphone apps, to send personalized digital coupons to buyers when they enter the store.
  • IoT, in conjunction with data visualization techniques, is also driving significant improvements in retailers' logistics and supply chain functions. Apart from tracking goods throughout the supply chain, RFID sensors ensure round-the-clock, precise inventory monitoring. For instance, some merchants have installed "smart" shelves that proactively detect low levels of inventory.
  • Robust inventory management, in turn, has paved the way for "real-time pricing", whereby any stock that has been in lower demand could be promoted through attractive schemes, or any top-selling item could undergo a pricing adjustment accordingly.

Banking & Financial Services

  • Banks and other Financial Services institutions, today face increasing demand from their customers for better, faster, on-demand and bespoke offerings, as well as the highest levels of data security.
  • By enabling the mass collection, correlation and transfer of customer data from sensor-equipped "smart" devices, IoT can help Banking & Financial Services (BFS) companies better track and analyze client behavior and requirements. This, in turn, can enable financial firms to deliver truly personalized customer experiences, with targeted advice and context-driven promotions.
  • For instance, banks could leverage IoT-driven data analytics to come up with compelling, relevant customer reward programs, for driving higher brand loyalty, or to offer location-specific discounts in real-time. Similarly, sensor-generated information can be mined for unearthing tailored cross-selling opportunities for each individual customer, as well as for crafting contextualized marketing campaigns across different touch points.
  • BFS institutions are now also using the massive volumes of real-time financial risk data-concerning individual spending habits, credit behavior, asset details, and so on-being collected from various sources for making better commercial decisions. For instance, underwriting processes can be improved by harnessing biometric and positional sensors for monitoring the physical performance of individuals, and tracking the shipping of goods and manufacturing quality control. For industrial assets under finance, the performance, health and productivity of these assets can alert on any deterioration, which could signal loss of credit worthiness.
  • Overall, as banks increasingly access granular data regarding their customers' lifestyles, they will look to deploy IoT for responding to evolving customer requirements in real-time, personalizing offerings, mitigating risks, and boosting operational efficiency.


  • The global Insurance industry, today faces rising costs of capital, declining yields generated on invested assets, and stringent regulations. As conventional pricing models based on one-to-one ownership structures come under pressure from growing standardization and commoditization of individual risks, insurers must redefine their underwriting and distribution practices.
  • Internet of Things (IoT) can be a major enabler on this front, helping insurers aggregate and analyze the massive volumes of multi-dimensional consumer data generated in the hyper-connected ecosystem. Unearthing actionable insights from such data can enable companies to truly personalize underwriting, and proactively manage clients' risks, resulting in revenue and profit growth, as well as enhanced customer satisfaction.
  • For instance, firms can build better-quality, dynamic risk profiles by accessing real-time behavioral and contextual customer data-rather than proxy indicators such as credit scores and year of home construction. Similarly, auto insurers can roll out differentiated and customized products based on a Usage-Based Insurance (UBI) model, wherein premium discounts will be linked to individuals' driving patterns. Another tangible use case is in Healthcare, where insurers now track lifestyle data shared by patients through mobile apps, to offer incentives for healthy living. IoT can also be leveraged for launching new services such as emergency roadside assistance, vehicle recovery, and vehicle maintenance alerts.
  • Overall, the business case for insurers to aggressively embrace IoT is a compelling one. Mining rich data, aggregated from sensor-driven "smart" devices, can help the industry offer personalized, omni-channel services, reduce churn, improve adjustment expense ratios, and grow profitability.

Media & Entertainment

  • As Media & Eentertainment (M&E) content is increasingly being consumed on mobile devices and digital platforms, the number of industry-related IoT connections is rising at an unprecedented pace.
  • Accordingly, M&E companies are harnessing the comprehensive insights generated by sensor-enabled devices across various engagement touch points to reimagine content distribution, and deliver personalized, contextually relevant content.Publishers and broadcasters today, leverage different facets of subscriber data, including location, behavior, preferences and demographics, collected from diverse devices & systems, to create granular consumer profiles. This, in turn, enables them to create and instantly deliver tailored content across multiple screens.
  • IoT-related advanced inertial, motion and image sensors, are being deployed in sports, 3D, animation, gaming, video images and camera stabilization, for gauging and understanding consumer behavior, and creating immersive experiences.
  • Improved customer targeting for higher ad spends and subscription revenues, through increased human-machine communication, is another prominent application of IoT in the M&E industry. To render contextually relevant ads, marketers are exploring using data compiled by sensors, to decipher an individual's habits & preferences, and more importantly, the context in which he/she consumes media.
  • Enhanced, actionable data analytics, facilitated by IoT, should also help make the measurement system for media consumption more efficient, by eliminating the duplication of unique users across platforms, and improving advertisers' understanding of their audiences.


  • As Healthcare providers transition from conventional, fee-for-service compensation to outcome-based reimbursement, they have intensified efforts to enhance the speed, quality, accountability and safety of care, and reduce costs. Further necessitating an overhaul of the industry's operating model is the growing demand from digitally empowered patients for personalized, preventive treatment.
  • Internet of Things (IoT) can help providers deliver significantly improved, contextualized care, by automating the process of storing & monitoring patient records, and harnessing the continuously updated databases of evidence-based guidelines for personalized treatment.
  • Care givers have also started leveraging IoT, alongside Mobility and Telematics, to provision efficient remote healthcare in low acuity and post-operative scenarios, through real-time, non-invasive and accurate tracking & analysis of individuals' key parameters. Apart from helping reduce the readmission rates, such an approach lets patients with chronic conditions to self-manage their conditions from home, and significantly improves providers' operational efficiency.
  • IoT could also potentially foster better, predictive care by helping doctors detect the onset of various types of health issues, from early signs of dementia to high blood pressure, thereby reducing emergency admissions.
  • Overall, by using IoT to continuously collect and analyze each individual patient's health data throughout the care pathway, providers can ensure better, cost-effective outcomes, and thereby, enhanced customer satisfaction.

Life Sciences

  • Constantly changing regulations, combined with growing demand from patients for better outcomes, has made it imperative for Life Sciences companies to adhere to the highest standards of product quality and safety.
  • By orchestrating a direct machine-to-machine communication, IoT can help pharmaceutical and biotechnology firms, as well as medical device manufacturers, effectively utilize real-time data feeds collected from sensor-rich devices. This, in turn, can enable enterprises to significantly increase the precision and the speed of production planning & execution-at reduced costs-through remote asset tracking and management, and supply chain networking. Life sciences and pharmaceutical companies leverage IoT technologies for compliance with the Drug Supply Chain Security Act (DSCSA) mandated serialization and traceability requirements.
  • Predictive risk mitigation is another tangible benefit companies can accrue, by collecting and analyzing the information collected on-the-go, from product components, batches and machines. For example, the data gathered by sensor-enabled equipment can be harnessed to proactively mitigate machine breakdown.
  • Medicine personalization, namely the production of batch sizes of one, is perhaps the biggest and most transformative impact IoT could potentially have on the Life Sciences industry. By embedding production orders within an individual component or a therapeutic batch, and then relaying instructions to "intelligent" software at the assembly stage, live, programmatic adjustment for a single unit could well become a reality.
  • IoT can also facilitate improved patient service by enabling continuous monitoring of medical devices, to anticipate and trigger the necessary maintenance in a proactive manner. Data collected from sensors can also help manufacturers improve product design and quality.
Analyst Speak

Find out how IIoT is disrupting the Manufacturing sector and the increasingly significant role this exponential technology will play across businesses in the near future. All this and more, as Rohit Kedia, Chief Business Officer, Manufacturing and ERP Services for the Americas at L&T Infotech, talks to Ralph Rio from ARC Advisory Group, about IoT as a major transformer across several business sectors.

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Industrial IoT Platforms with L&T Infotech

A View by Ralph Rio, ARC Advisory

As IIoT transforms the way technology helps improve the asset performance for OEMs, end users, and governments; it also calls for technical skills beyond the traditional approach. Find out from Ralph Rio of ARC Advisory, how collaborating with L&T Infotech to leverage these skills can help reduce risk and provide faster time-to-benefit to these clients.

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At L&T Infotech (LTI), we provide the best-in-class IoT consulting services, and Digital & Analytics capabilities, leveraged to enable the Digital Strategy & Digital Transformation journey for many of our clients' businesses. LTI's Digital Transformation platform - MOSAICTM (Mobility Social Analytics Integration Cloud), helps formulate a cohesive digital strategy and enables successful implementation. The platform allows clients to explore opportunities in Mobility, Social Media, Big Data & Cloud. This helps in converging and providing transformative benefits, to deliver strong customer experience, transform business processes, and implement new (disruptive) business models. Our MOSAICTM powered solutions are aimed to deliver optimum values across a wide range of industries and provide the maximum business benefits to our clients.


At L&T Infotech (LTI), we provide the best-in-class IIoT, Digital and Analytics capabilities, leveraged to enable the Digital Strategy & Digital Transformation journey for many of our clients businesses. LTI's Digital Transformation platform - MOSAICTM (Mobility Social Analytics Integration Cloud), helps formulate a cohesive digital strategy and enables successful implementation. The platform allows clients to explore opportunities in Mobility, Social Media, Big Data & Cloud. This helps in converging and providing transformative benefits, to deliver strong customer experience, transform business processes, and implement new (disruptive) business models. Our MOSAICTM powered solutions are aimed to deliver optimum values across a wide range of industries and provide the maximum business benefits to our clients.



  • Prompt Reporting, Intelligent Management & Enhancement for Plant is an "Early Warning System" to help predict potential failures of critical equipment. It enables Business Process such as Asset Performance Management, Proactive Maintenance Strategy, and Equipment Criticality Analysis.


  • Operational Excellence and Reporting Application is a standard framework, designed for diverse industries, for specific identified use cases, and to cater to their business needs.

Digital Refinery

  • Aims at optimizing a refinery, by creating a Digital twin. This integrated information system will integrate refinery assets, information system, and monitor key KPIs to improve bottom line performance, productivity and optimized safe production.

Worker Safety

  • Worker [and asset] location & productivity tracking aims at ensuring safety & compliance, reducing incidents/ risks, and ensuring greater productivity of the workforce through efficient resource utilization.

Integrated Operations Center

  • Aims at building a Central Command & Control Center for integrated production operations & notifications to all stakeholders for early warnings & end-to-end visibility of operations in Utilities, Oil & Gas, Infrastructure and Industrial Facilities.

Remote Asset Monitoring

  • This Asset Monitoring Analytics Application monitors the data gathered from sensors of equipment, to generate alerts for surveillance and predictive maintenance, thus assessing and managing the key KPIs of critical assets.

Building Management Solution

  • A cloud-enabled solution for Building Management to improve operations across a building, using IoT & Predictive Analytics. Building Management Solution provides centralized monitoring of HVAC, CRAC units, PDU, DGs and F&G, for effective cooling, lighting, heating, and power distribution control, to achieve optimum performance.

Solar-Based Power Management Solution

  • Enables remote monitoring of plant performance KPIs, external parameters like weather feed and invertor health, to provide analysis of production and diagnostics.

Terminal Automation System

  • Provides systematic & efficient handling of fuel filling operation, with minimal manual intervention. It also helps in remote maintenance, enabling optimized terminal performance and availability.


  • Provides manufacturing companies and other service organizations a unified and scalable platform to carry out after-market service management on cloud, across the entire service ecosystem.

Proximity Banking

  • Solution to help any Branch of a Bank provide a rich customer experience.

Vibration-based Predictive Maintenance

  • Solution to understand the noise levels of equipment, thus predicting the health of the equipment.

Automatic Solution using Telematics Data

  • Helps gather information about the vehicle, and predicts the driving behavior, maintenance and warranty optimization.


  • Solution that helps analyze the internal and external data for Load Forecasting.

Enhanced Retail Experience

  • Transforms "in-store" consumer experience, leveraging the tenets of IoT, Augmented Reality, Indoor Navigation and Machine Learning.

Point of View

Implementing an Optimal Pipeline Monitoring System

Pipelines need to be monitored effectively for smooth transportation of large volumes of hazardous liquids and gas.

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