The Three Key Components of a Successful IoT & AI-Based Solution for Restaurant Operations

EcoEnergy Insights

Internet of Things (IoT) & 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:

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, Digitization of business processes to create efficiencies Equipment availability and performance management Vendor and employee accountability Cost optimization Automation of operations for operational efficiencies Real-time intelligence based on pattern analytics and root cause analysis Hardware Connectivity In-bound gateway Interactive user Provisioning engine interface Hardware health analyzer Analytics engine Database Control engine for the hardware Typically, IoT & AI-based solutions consist of three key components : The software or the platform 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 system, including the following sub-components:

  1. Inbound gateway receives data from different IoT sensors, devices and sites in the case of a distributed network.
  2. Analytics engine contextualizes, prioritizes and analyzes the data by using complex algorithms and rules. It generates real-time intelligence to improve upon existing business efficiencies.
  3. 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 them is crucial to get meaningful results. The user interface should enable clear decision-making and initiate corrective actions.
  4. 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.
  5. 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.
  6. Database is the dynamic repository of dynamic data from various measuring devices.
  7. 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 ©2021 Carrier. All Rights Reserved. About EcoEnergy Insights - EcoEnergy Insights is a leading provider of AI and IoT-enabled solutions to digitally transform building and equipment operations. Their CORTIX™ platform collects data from multiple sources, analyzes it, acts on defined deviations autonomously and offers predictive actionable insights. The platform, combined with expert human analytics, has been delivering award-winning outcomes in comfort, maintenance and energy efficiency across multiple industries such as retail, hospitality and banking. EcoEnergy Insights is a part of Carrier Global Corporation, a leading provider of innovative HVAC, refrigeration, fire, security and building automation technologies. For more information on EcoEnergy Insights and the CORTIX™ platform, visit www.ecoenergyinsights.com and www.cortix.ai. Write to us at info.ecoenergy@carrier.com and elevate your business now.


Author

Parminder Singh, Head Sales Enablement & Offering Management

Parminder Singh heads solution engineering and pre-sales 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.