The fast-food industry is taking a monumental leap into the digital age as Rostic’s, a well-known restaurant chain, moves its big data processing to Yandex Cloud. This strategic move enables the company to manage a weekly flood of over 100 gigabytes of business process information sourced from twelve distinct streams, including sales transactions, personnel management, product inventory, logistics, and mobile app orders.
This shift has turbocharged Rostic’s technological advancement, tripling the speed of new technology development and doubling the pace at which analytical reports are generated, such as sales performance of menu items. In pursuit of more innovative service, Rostic’s aims to introduce an AI-based recommendation system, signifying an embrace of artificial intelligence within its operations.
Strategic decision-making for both the corporate headquarters and franchise partners is now more data-driven than ever, focusing on how to accelerate service, streamline order assembly, optimize courier workflows, and boost sales. These decisions are backed by data collected from automation software, accounting systems, banking applications, rapid-delivery services, and mobile app analytics.
As Rostic’s forges ahead with its ambitious plan to foster a data-driven culture within its organization, it seeks to automate data management to allow business representatives and partners to independently perform analytics pertaining to their interests. While this currently requires the expertise of programmers, the goal is to leverage the accumulated data for creating cutting-edge machine learning models, carving the future of the fast-food industry with data at its core.
Current Market Trends: The fast-food industry is witnessing a significant shift towards digitalization and the use of big data and cloud technology. Chains are leveraging these technologies for various purposes, including optimizing operations, personalizing customer experiences, and improving decision-making. Big data allows companies to analyze customer behavior, streamline supply chains, and enhance marketing efforts. The adoption of cloud platforms offers scalability, cost-efficiency, and the ability to quickly adapt to changing market demands.
Forecasts: The trend of data analytics and cloud computing in the fast-food industry is expected to grow. By 2025, as per industry forecasts, these technologies will be broadly integrated across most fast-food chains, with artificial intelligence and machine learning playing a critical role in operations and customer service. Additionally, there may be further integration of Internet of Things (IoT) devices to improve inventory management and operational efficiency.
Key Challenges or Controversies: While data-driven approaches offer many benefits, they also bring challenges and controversies such as data privacy, security risks, and the potential displacement of jobs due to automation and AI. Companies will need to address consumer privacy concerns while complying with regulations like the General Data Protection Regulation (GDPR). Additionally, the increasing reliance on technology could lead to vulnerabilities in cybersecurity, requiring robust measures to protect sensitive information.
Advantages: The advantages of a fast-food chain embracing big data and cloud technology include improved efficiency, cost savings, personalized marketing, enhanced customer experiences, and better decision-making based on real-time data analytics. AI can particularly offer advantages in terms of predictive analytics for demand forecasting, labor scheduling, and optimizing menu offerings.
Disadvantages: On the flip side, these technologies could lead to an over-reliance on automation, potential job losses, and a significant initial investment in technology infrastructure. There’s also the challenge of keeping up with the rapid pace of technological change and ensuring staff are adequately trained to use new systems.
For more information on how the fast-food industry is incorporating big data and cloud technology, one might want to visit the official sites of technology providers or industry analysts. Here are some suggested links:
– Google Cloud
– Amazon Web Services (AWS)
– Microsoft Azure
– IBM Cloud
– Oracle Cloud
– Gartner (for industry analysis and reports)
The source of the article is from the blog elblog.pl