Features
Why and how to Invest in Technology for Financial Efficiency in Restaurants
By Naji Haddad, VP – EMEA at Deliverect
In today’s competitive market, staying ahead of the curve is crucial to using essential cutting-edge technology for restaurants to thrive. Modern technology is transforming every facet of the restaurant business. From automating tasks with robotics to utilizing software for inventory management and customer service, these solutions empower restaurants to operate more efficiently and profitably, reshaping the entire industry.
Nowadays, new restaurants, ghost kitchens, and virtual food brands are popping up at every corner, making our industry the most competitive it has ever been; using the right tech is the way to reduce financial waste and elevate financial efficiency in the coming years.
Consolidating tech into a Comprehensive Solution
While tech integration is crucial, it shouldn’t burden restaurants with excessive costs or complexity. Many restaurants make the mistake of overinvesting in new software and even hardware solutions without first analyzing their needs, goals, and focus areas.
For example, one of the major focus areas for any growth-oriented restaurant would be to consolidate its tech and use a solution to seamlessly aggregate online orders, manage menus, track data, and reduce redundancy across your Point-of-Sale (POS) system.
This streamlines workflows and provides a unified overview of all incoming orders, especially for restaurants with multiple sales channels.
Always aim for a lean tech operation where you use only a handful of critical tools that provide as much bang for your buck as possible.
Protection of Revenue: Reducing Failed Orders
One of the critical aspects of financial efficiency in restaurants is reducing failed orders. This not only affects revenue but also customer satisfaction and loyalty. Having a solution that seamlessly integrates all your equipment, from online ordering systems to kitchen appliances, helps in reducing errors and ensuring orders are fulfilled accurately and on time.
By leveraging technology to streamline order processing, track inventory in real-time, and minimize manual errors, restaurants can protect their revenue by avoiding costly mistakes that lead to dissatisfied customers and lost sales opportunities.
Moreover, implementing predictive analytics and machine learning algorithms can further enhance order accuracy and reduce the risk of errors, contributing to improved revenue protection and customer experience.
Financial Tracking: A Cornerstone for Success
Effective financial management is paramount. Beyond tracking revenue and sales, restaurants require meticulous expense management and year-round financial analysis.
Financial monitoring and meticulous analysis are the foundational pillars of data-driven decision-making in this business, giving you a competitive edge. It all starts with the right accounting software that will provide you with a comprehensive overview of your accounts receivable and accounts payable, along with detailed reports.
This software should provide comprehensive overviews of accounts receivable and payable and detailed, granular reports – both at the micro and macro levels – to identify seasonal and annual cash flow trends.
Using Technology to Optimise Labor Costs
Everything is becoming more expensive. From logistics, food, packaging, equipment, and compliance to labour, training, and talent retention, restaurant owners desperately seek ways to cut their expenses.
Task automation is key to optimizing labor costs in restaurants. By automating repetitive tasks such as order processing, inventory management, and reporting, staff can focus on higher-value activities like customer service, menu innovation, and strategic planning.
Automated scheduling tools can also help in optimizing labor allocation based on demand patterns, ensuring adequate staffing levels without unnecessary overtime or understaffing situations. This not only improves operational efficiency but also enhances employee satisfaction and reduces turnover rates.
Investing in staff training on using these automated tools effectively can further maximize their impact on labor cost optimization and overall business performance.
Investing in the Future
The restaurant industry is becoming more competitive than ever, but that doesn’t mean that small businesses or up-and-coming brands can’t build long-term success and stability. However, by embracing technology for operational efficiency, cost optimisation, and strategic growth, restaurants of all sizes can thrive with this competitive edge in 2024 and beyond.
Features
Paving the Way for AI Success in Business
By Karim Azar, Regional Vice President – Middle East & Turkey, Cloudera
The digital landscape is evolving at an unprecedented pace, and at the heart of this evolution lies the transformative potential of artificial intelligence (AI). Across industries, AI is not merely a buzzword but a revolutionary force driving innovation, efficiency, and growth. Its impact extends beyond automation, touching every side of business operations and decision-making. It can revolutionize multiple sectors and fundamentally reshape the corporate industry.
Nonetheless, challenges arise with technological evolution, particularly in accessing and overseeing varied datasets across diverse environments. These challenges frequently act as obstacles to achieving successful AI implementation. In response to these challenges, the technology landscape is witnessing significant advancements in open data lakehouse technologies, providing a robust foundation for AI and analytics. Let’s delve into key technological developments and their advantages, focusing on the broader implications rather than specific products.
Unlocking Business Potential
AI has the potential to unleash new opportunities for businesses. McKinsey’s findings reveal that more than 62% of companies in the Gulf Cooperation Council (GCC) region currently utilize Generative AI in some operational aspect. The research underscores the substantial potential of AI to create tangible value in the GCC, with an estimated value of up to $150 billion.
This adoption trend is not without merit; statistics show that 83% of businesses adopting AI report substantial (30%) or moderate (53%) benefits. AI can address various challenges by providing predictive analytics and personalized customer experiences, enabling organizations to make faster and more accurate data-driven decisions.
Despite the obstacles in adopting AI, such as data management complexities and security concerns, offering air-gapped deployment for large language models (LLMs) is still a viable option. This feature boosts security, data privacy, and performance while also lowering customer operational expenses. However, overcoming these challenges requires more than just technological solutions. It demands a comprehensive approach that includes robust data governance frameworks, continuous employee training programs, and collaboration with regulatory bodies to ensure compliance with data protection laws.
AI Across Industries
AI is not a one-size-fits-all solution. It is applied differently across industries and business functions, including healthcare, finance, manufacturing, and retail. The potential uses of AI are vast, from boosting supply chain efficiency to transforming healthcare outcomes and customer service.
For example, in the healthcare industry, AI-powered predictive analytics can help doctors identify patients at high risk of developing certain diseases, allowing for early intervention and personalized treatment plans. AI algorithms can analyze market trends and financial customer behavior to recommend customized investment strategies. In manufacturing, AI-driven predictive maintenance can proactively anticipate equipment failures and schedule maintenance activities, minimizing downtime and reducing costs.
As businesses increasingly adopt AI, they invest in their organization’s future. By promoting innovation and agility, companies can leverage AI to maintain competitiveness in a digital era. Prioritizing data privacy and security helps build trust with customers and stakeholders, ensuring AI technologies’ responsible and ethical use.
AI is a significant transformation in how businesses function and innovate. Embracing AI opens up vast opportunities for organizations to reshape their operations, stimulate growth, and influence the future of business. While the journey may present challenges, the potential benefits are boundless for those willing to embrace the power of AI.
Features
Smart Cities and the Rise of Intelligent Transportation Systems: Exploring the Benefits and Risks of Vehicle Surveillance
By: Dr Ryad Soobhany, Associate Professor, School of Mathematical & Computer Sciences, Heriot-Watt University Dubai
Intelligent Transportation Systems (ITS) have emerged as a transformative solution in urban areas, tackling challenges such as high traffic and pollution. These systems, incorporating a network of static and mobile sensors, including cameras on buildings or vehicles/drones, embedded in the smart city infrastructure, are revolutionizing traffic management. By harnessing data from cameras, in-vehicle GPS systems, in-vehicle Near Field Communication (NFC), IoT devices, and Artificial Intelligence (AI), ITS enable the monitoring and tracking of vehicles for Intelligent Traffic Management Systems (ITMS) or Public Transportation Management Systems (PTMS).
While intelligent transportation systems offer significant benefits, it’s crucial to acknowledge the challenges and risks they pose. ITMS provides real-time monitoring of traffic on roads and at junctions, while PTMS focus on managing transportation fleet and passenger information services. Emergency Response Management Systems (ERMS) primarily monitor the emergency responders of the smart city. The use of intelligent vehicle surveillance systems improves traffic management, public safety, and urban planning, but it also raises concerns about the data privacy and security of users and infrastructure, a risk that must be carefully managed.
Benefits
There are several benefits from the implementation of vehicle surveillance systems in urban areas and the most obvious one is a better vehicle traffic flow by using ITMS. Cameras placed strategically across the city monitor traffic to identify congested areas and road traffic incidents (e.g. accidents). Implementing dynamic traffic lights systems at junctions and temporary speed limits can improve traffic flow. Using AI, predictive traffic routing forecasts traffic bottlenecks and suggests alternative routing. The use of PTMS leads to enhanced scheduling of public transportation; for example, the arrival/departure of trains/metro at the station is synchronized to feeder buses or taxis being stationed outside the station. There is an improvement in customer satisfaction and journey planning with real-time updates for public transport. Traffic flow is also improved by monitoring of cycle and pedestrian lanes, where safer cycle lanes will encourage road users to adopt cycling in certain urban areas adapted for cycling.
There is an overall improvement in public safety by better traffic management, with better response time to emergency situations by the ERMS, such as ambulances. LPR/ANPR (Licence Plate Recognition/Automatic Number Plate Recognition systems and GPS tracking systems in cars allow the monitoring of vehicles while they are located withing the bounds of the smart city. Stolen or wanted vehicles can be detected and followed through the city. The use of surveillance cameras, LPR/ANPR systems and GPS tracking can improve identification of criminal activities, which should enhance the response of law enforcement. Under-Vehicle Surveillance Systems (UVSS), which are cameras placed at strategic places on roads in the city take pictures or videos of the underside of vehicles to check the chassis for stolen cars. UVSS can also be used to detect contraband at ports or entry/exit points in smart cities.
The use of LPR/ANPR systems ease the management of Low Emission zones, which are areas where low emission vehicles (e.g. electric or hybrid vehicles) can circulate without charges and vehicles with higher emission rates have to pay an hourly or daily charge. The implementation of Low Emission zones can bring environmental benefits. The improved traffic flow in the urban areas can also lead to environmental benefits with less emissions in traffic jams and long traffic queues at junctions. Apart from environmental benefits, there are economic benefits linked to better health and overall happiness of citizens and visitors.
Risks
Several risks are associated with the amount of data collected from the vehicle surveillance systems. The main concern is the privacy of the smart city’s car drivers and car owners. Vehicles and their drivers are tracked everywhere they travel around the city and the speed they travel. This can lead to tracking drivers and without proper legal frameworks, the data collected can be used to encroach on the users’ privacy. The large amount of collected and stored data can be quite attractive to cyber criminals and might lead to cyber-attacks. Any data breach from these attacks might expose the personal information of drivers and their vehicles. Cyber-criminals can target the surveillance systems, for example hacking the intelligent dynamic traffic speed system and changing the traffic speed around the city.
Having video surveillance around the urban areas recording the public can lead to ethical issues. Most of the time, drivers might not have provided informed consent to participate in the vehicle surveillance systems. The lack of consent from users can lead to non-compliance with regulatory bodies and can result in legal challenges from user groups. Users need to be made aware that they are entering a vehicle surveillance zone and their data might be recorded. Vehicle surveillance systems can be used to discriminate against certain sections of the community, for example, young drivers might be unfairly targeted by the vehicle surveillance systems because they allegedly drive fast and dangerously, which allegedly cause accidents. Any cyber security attack or data intrusion can lead to users losing trust in the vehicle surveillance system.
The use of vehicle surveillance systems can benefit smart cities and enhance the quality of life of residents and visitors, but the authorities must respect the personal privacy of the public by ensuring that data are collected and processed ethically and guarded against any cyber-attack. Security policies and mitigation plans are primordial for vehicle surveillance systems.
Features
Enabling MEA eGovernment Entities to Enhance Experiences while Cutting Costs
By Uday Shankar Kizhepat, Vice President and General Manager- Middle East and Africa Region, WSO2
We live digitally. Much of our professional work is digital, as is much of our leisure time. Our commercial activity – shopping, service subscription, banking, and more – is digital. And our government is digital. No doubt governance itself requires the wisdom of individuals. But the transactional part – filing, requesting, registering, licensing, and so on – is digital. Governments in the Middle East and Africa (MEA) know they have an opportunity, with today’s technologies, to streamline transactional government functions while cutting costs.
One way to do this is to introduce digital identities. By allowing each citizen to be recognized by their “bytes essence,” public authorities open the door to transformative programs that use these trusted online personas to get things done reliably and rapidly. Many regional nations are acknowledging the potential of digital ID systems and have cultivated track records for themselves in areas such as boosted citizen engagement and enhanced accuracy of outcomes.
Digital IDs offer a practical means to ensure useability when new e-government services come online. Identity verification, service accessibility, and data protection are three major, long-standing challenges encountered by regional governments on their digital transformation journeys. The digital ID solves all of them. It offers an elegant solution to the verification issue, obviously, but its simplicity enhances accessibility, and its security features protect data.
The ’guarantee’
The digital identity may look straightforward, but its elegance is built on a toolbox of advanced technologies such as biometrics, encryption, and blockchain. These building blocks come together to give a guarantee of authenticity when an individual presents their credentials to an online gatekeeper. And we should not use the word “guarantee” lightly. It lies at the core of the viability of any authentication system offered by a government. When waved through the door, verified users can access tax history and health records. They can pay bills or register with a government agency. If verification is erroneous, a host of problems can arise.
The digital ID is a holistic, citizen-centric approach that strikes a balance between security and performance and yet does not compromise either. It eliminates bureaucratic bottlenecks and elevates the citizen experience without the public-sector agency ever relinquishing control of any part of the process. But how? How do digital IDs allow government services to operate at peak efficiency and grant seamless access to every citizen while not faltering when it comes to risk management? How do responsive, always-on services guarantee privacy and security? Well, the answer comes full circle, back to digital transformation.
Governments in the Arab Gulf region mention digital transformation frequently in published guidelines that map the way to economic diversification. These same guidelines apply to the government itself, which must set about transforming systems, processes, and functions to prepare for digital IDs and the world they promise – one in which a digital service provider can offer both seamless access and security. Complexities come from the scale and interconnectedness of operations, and the need for every shred of data, every machine-to-machine process, and every user session to be secure. Regulatory obligations must be juggled with budgetary constraints while technology leaders play intermediary to vying stakeholder factions within the organisation. It is easy to see how challenging it might be to maintain interoperability and data-sharing in such a fraught environment.
Of course, none of this will deter government organisations in the MEA region. They know what the hurdles are, but they also know what is to be gained – smoother services that cost less to provide while engendering greater citizen trust and in fact are leading the way in some of these digital initiatives. Remember, regional governments also know that the expectations of their citizens have, in a very real sense, undergone a digital transformation of their own.
Success stories
If we cast our eyes around the region, we can see digital ID-centric transformation in action already. Some government organisations in the Middle East have introduced biometric facial recognition as part of digital identity phase-ins and are using the system for secure digital document storage. Also in current use are systems that allow single, mobile-based logins. In these countries, the government’s identity access management (IAM) system undergoes a sweeping overhaul that allows the unification of credentials data to provide secure digital identity.
In the Asian subcontinent, we find a government that directed its telecoms ministry to build a national information exchange layer using an API. Strict identity management was rolled out as part of this ambitious project. With digital identity in place, the government can enable slicker collaboration between its departments and enhanced efficiency in outputs. It can do all this while optimising data access and consumption, which empowers analysts to deliver more actionable insights to stakeholders across agencies and ministries.
In Africa, one country showed its peers how an integrated identity and access management solution can be used for risk-based authentication, single sign-on, multi factor authentication, and user self-service. The solution was designed to minimise the risk of identity theft, but it was also (through single sign-on) able to reduce complexity when onboarding and offboarding users.
Conflict resolved
If digital solutions are the future of government, then digital identity is the future of public-sector cybersecurity and risk management. Governments in the region have been trying for years now to transform service delivery and engender citizen trust and engagement, but security has always been in conflict with agility. Having leveraged digital identity, authorities rid themselves of the downsides and reap rewards such as those described here. These regional successes underscore not only the profound impact digital transformation can have on society, but the indispensable role digital identity will play in delivering those efficiencies in a way that promotes trust.
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