Internet of Things (IoT) and artificial intelligence (AI) are an integral and invisible part of our current environment and are steadily transforming the consumer landscape and various industries. There are billions of IoT devices installed in various shapes and forms that are delivering intelligence and actions, to solve different business problems for owners. In fact, no industry segment today is untouched by these technologies. The prediction is that there will be more than 75 billion IoT devices installed by 2025.

We are also becoming increasingly familiar with smart cities, intelligent buildings, vehicle-to-everything (V2X) cars, etc. These are perfect examples of IoT and AI usage to predict issues before they occur and identify challenges and opportunities in real-time in order to enable optimal use of resources for positive impact.

Most restaurant operators agree that technology can help make restaurants more productive. However, they may not have the in-house expertise to implement new technology and analyze large data sets. Therefore, many restaurant operators are partnering with specialized firms to manage connected devices and large data sets and to help leverage them to meet their business objectives.

Apart from addressing different operational challenges, including those brought out by the COVID-19 pandemic, solutions with these technologies can also help restaurant businesses gain a competitive advantage. Further, continual improvement in the management processes brought about by their use can lead to business efficiencies and have a significant impact on the bottom line.

Advantages of implementing AI & IoT based solutions:

  • Digitization of business processes to create efficiencies
  • Automation of operations for operational efficiencies
  • Real-time intelligence based on pattern analytics and root cause analysis
  • Asset availability and performance management
  • Vendor and employee accountability
  • Cost optimization


Typically, IoT & AI-based solutions consist of three key components:

1. The hardware: usually consists of low-cost measuring or controlling devices that can be easily integrated with the central hub of a Building Management System (BMS) and start transmitting data, preferably using an open protocol. It is crucial to have a hardware system that is modular and scalable so that new sensors or devices can be integrated in the future to deliver data and insights. When selecting these measuring and controlling devices, it is necessary to evaluate their purpose, reliability, working environment, accuracy, cost, etc. These measuring devices will be broadcasting data to the central hub, which is the basis of the entire AI data training. The wrong selection could result in an ineffective deployment and a missed opportunity to improve business efficiency.

2. The software or the platform: is the essential IT infrastructure and cloud-based platform, including the following sub-components:

  • Inbound gateway receives data from different IoT sensors, devices and sites in the case of a distributed network.
  • Analytics engine contextualizes, prioritizes and analyzes the data by using complex algorithms & rules. It generates real-time intelligence to improve upon existing business efficiencies.
  • Interactive user interface helps the operators to understand and contextualize the output of the software. Uncovering insights from the data is not enough; being able to act on it them crucial to get meaningful results. The user interface should enable clear decision-making and initiate corrective actions.
  • Control engine for the hardware helps to take some intelligent actions automatically based on predefined logic and rules. It helps businesses focus on the deviations as the control engine takes necessary actions without any intervention, supervision or manual involvement.
  • Hardware health analyzer helps continuously monitor the health of the devices and detects issues in order to keep the network of edge devices in perfect working condition.
  • Database is the dynamic repository of dynamic data from various measuring devices.
  • Provisioning engine is a repository of the site or a portfolio’s static data.


3. Connectivity: is an important part of an IoT solution and connects the distributed sites to the  central server through a secure pipeline. It also secures connectivity between southbound devices and the central hub at the site. In the dynamic environment, where the customer and industry requirements are evolving at a quick pace, there is a need to upgrade the firmware of the hardware promptly without going to the site. A very effective way of doing this is remotely, also known as direct over the air (DOTA).

Restaurant businesses must manage energy efficiently and reduce operational costs while simultaneously providing a comfortable environment for customers and employees alike. The power and capabilities of IoT and AI are only increasing, and restaurant chains can successfully accomplish their objectives by implementing these technologies. IoT-driven analytics enable restaurant operators to collect information from all connected devices including heating, ventilating and air conditioning (HVAC) systems, refrigerators, cooking equipment and lighting to better manage their facilities through predictive insights. Restaurant operators ought to evaluate and invest in these technologies to digitize business operations and make them more predictive and proactive. These programs allow restaurant operators to easily monitor critical components such as air quality, temperature and humidity and help create a healthier and safer indoor environment.

Parminder Singh heads sales enablement & offering management in North America for EcoEnergy Insights, a part of Carrier. He is primarily focused on crafting energy management and IoT solutions for multi-site operators

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